diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000000000000000000000000000000000000..a97cdc8d4d55799e285f2222c868463faaf79ee9
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,6 @@
+outputs
+paiton-videos
+paiton-h3-data
+**/__pycache__
+**/*.pyc
+.git
diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..c67e763879fcf48e4a745955c2e879a17cb5f154 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
+artifacts/minimax_h3_projections_gfx1201.so filter=lfs diff=lfs merge=lfs -text
+assets/comfyui-workflow.png filter=lfs diff=lfs merge=lfs -text
+assets/fox-15s-contact-sheet.jpg filter=lfs diff=lfs merge=lfs -text
+assets/fox-15s-poster.jpg filter=lfs diff=lfs merge=lfs -text
+assets/fox-15s.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/generation-performance.png filter=lfs diff=lfs merge=lfs -text
diff --git a/BENCHMARKS.md b/BENCHMARKS.md
new file mode 100644
index 0000000000000000000000000000000000000000..ddfeb3115fabafe93f646581e61f24244124d44f
--- /dev/null
+++ b/BENCHMARKS.md
@@ -0,0 +1,236 @@
+# Continuous 15-second qualification
+
+| Matched Turbo8, 15.08-second clip | Stock | Paiton |
+| --- | ---: | ---: |
+| Complete playable MP4 | 399.40 s | **332.85 s** |
+| Pipeline before file encoding | 385.60 s | 318.98 s |
+| Fixed-length clips per hour | 9.01 | **10.82** |
+| Generated video seconds per wall second | 0.0378 | 0.0453 |
+
+
+16.66% lower latency, 19.99% higher throughput. One fox warmup and two measured fresh requests at seed 771 per engine. The 362-frame clip is a single generation, not the earlier three-clip comparison reel. All video/audio latents and paired MP4s are identical.
+
+| Component, measured mean seconds | Stock | Paiton |
+| --- | ---: | ---: |
+| conditioning | 21.718 | 10.821 |
+| sampling | 317.987 | 262.296 |
+| video decode | 42.521 | 42.473 |
+| audio decode | 3.345 | 3.370 |
+| encode mux | 13.800 | 13.873 |
+
+One **32 GB R9700** is required. Long-clip sampled driver memory reached **30.34 GiB**. We tested **16 GB system RAM with 4 GB swap**; lifetime process RSS reached 12.09 GiB, and up to 1.24 GiB of process swap was sampled. **24 GB or more host RAM is recommended** for the browser, longer requests and other applications. Allow **60 GB free disk** for the approximately 6 GB image, 33.96 GB selected weights, caches and outputs. Both adapters share the large components and total 35.92 GB of checkpoint files. Use SSD storage. Filesystems without hard-link support can require another 34 GB for duplicate cache copies.
+
+| Peak memory across these runs, GiB | Stock | Paiton |
+| --- | ---: | ---: |
+| Torch peak allocation | 10.653 | 7.805 |
+| Torch peak reservation | 16.418 | 10.197 |
+| Sampled driver VRAM | 30.283 | 30.338 |
+| Sampled host RSS | 11.616 | 11.457 |
+| Process lifetime RSS high-water mark | 12.091 | 11.752 |
+| Sampled process swap | 0.488 | 1.239 |
+
+Driver telemetry is sampled every 0.5 seconds and may miss brief peaks. Torch allocation, reservation and driver measurements overlap. No GPU clocks or profile settings were changed. See [long raw timings](assets/long15-timings.csv) and [complete public measurement data](assets/long15-results.json), including temperatures, per-phase disk reads and sampled GPU energy. Device energy is not wall energy. Phase loading costs remain inside the clock; disk reads are not a direct measurement of PCIe transfer time.
+
+The 20% end-to-end latency engineering target remains unmet; the 19.99% throughput gain is a different metric.
+
+The stock baseline uses the prior v4 image; the release image uses the extended v5 artifact. A file-hash and dependency-version comparison confirms identical stock implementation, model/VAE code, CLI, checkpoint lock and dependency lock. The artifact extends the accepted token count and retains existing arithmetic. Image identities and parity evidence are retained with this release.
+
+---
+
+# MiniMax H3 qualification — 8 September 2026
+
+H3 produces local video and native audio on one 32 GB Radeon AI PRO R9700.
+The final compiled denoiser fuses Turbo residuals, paired SwiGLU and RDNA4
+INT8 attention. The **20% end-to-end latency objective remains unmet**.
+Nothing is published; this is a local review package.
+
+## Matched complete-generation results
+
+Both engines use the exact pinned W4A8 FL2VA denoiser, NVFP4-storage/FP16 Qwen3-VL
+intermediate encoder, INT8 video VAE/BF16 compute, FP32 audio VAE and matching
+Turbo adapter. Canvas 864×480, 124 frames, 24 fps, batch one. Euler/simple,
+BasicGuider, no CFG second forward, shifts 6/3, and exactly four/eight NFEs.
+Audio is jointly generated. Smart memory, Dynamic VRAM, two offload streams,
+`--fast-disk`, 2 GB reserve and hardware profile are matched.
+
+| Preset | Stock seconds | Paiton seconds | Lower latency |
+|---|---:|---:|---:|
+| Turbo4 | 64.15 s | 54.38 s | 15.24% |
+| Turbo8 | 95.83 s | 80.60 s | 15.89% |
+
+| Preset / prompt / seed | Stock measured seconds | Paiton measured seconds |
+|---|---|---|
+| Turbo4 / barista / 772 | 65.2211, 63.7795 | 54.9004, 54.0661 |
+| Turbo4 / pouring_water / 773 | 63.7140, 63.8874 | 54.3518, 54.1864 |
+| Turbo8 / barista / 772 | 96.3074, 95.9004 | 80.9720, 80.1997 |
+| Turbo8 / pouring_water / 773 | 95.6352, 95.4844 | 80.8519, 80.3818 |
+
+| Preset / engine | Warm before encoding, s | Playable clips/hour | Video seconds/wall second | First clip after setup, s | Setup/import/model creation, s |
+|---|---:|---:|---:|---:|---:|
+| Turbo4 / stock | 59.939 | 56.118 | 0.080540 | 109.160 | 18.321 |
+| Turbo4 / paiton | 50.174 | 66.205 | 0.095017 | 103.771 | 16.207 |
+| Turbo8 / stock | 91.738 | 37.566 | 0.053914 | 141.431 | 17.327 |
+| Turbo8 / paiton | 76.479 | 44.664 | 0.064101 | 129.472 | 14.052 |
+
+One fox warmup precedes two measured requests each for barista and pouring
+water. Fresh conditioning runs every time. Timing starts before conditioning
+and ends after the playable MP4 is written, including H.264 encoding/AAC mux.
+Diagnostic latent saving is outside the boundary. Downloads, builds, imports
+and model construction are separate. An existing filesystem/runtime cache is
+not a completely cold installation. The GPU ran one workload at a time; no
+power/profile/clock changes occurred. Sample size is small and fixed, without
+a general performance guarantee. Four-step versus eight-step speed is not
+counted as a Paiton gain.
+
+## Reproduce the measured multi-prompt suite
+
+After downloading both Turbo profiles, copy the bundled fixed cases into the
+persistent data directory and run each engine sequentially:
+
+```sh
+cp benchmark-cases.json "${PAITON_H3_DATA:-$PWD/paiton-h3-data}/benchmark-cases.json"
+./launch.sh --stop
+./run.sh benchmark --preset turbo4 --engine stock --runs 5 \
+ --cases /data/benchmark-cases.json --output /outputs/stock4-suite
+./run.sh benchmark --preset turbo4 --engine paiton --runs 5 \
+ --cases /data/benchmark-cases.json --output /outputs/paiton4-suite
+./run.sh report /outputs/stock4-suite --measured 1 2 3 4
+./run.sh report /outputs/paiton4-suite --measured 1 2 3 4
+```
+
+Repeat with `--preset turbo8` and different output directories. These five
+cases are fox warmup, barista twice, then pouring water twice; each prompt is
+encoded again. Never overwrite an earlier measurement directory.
+
+## Components, residency and memory
+
+| Mean component, seconds | Turbo4 stock | Turbo4 Paiton | Turbo8 stock | Turbo8 Paiton |
+|---|---:|---:|---:|---:|
+| conditioning | 5.2890 | 2.7132 | 4.7460 | 2.6402 |
+| sampling | 34.3590 | 27.1853 | 66.7529 | 53.5448 |
+| video_decode | 17.1231 | 17.1474 | 17.0965 | 17.1059 |
+| audio_decode | 3.1371 | 3.0995 | 3.1109 | 3.1597 |
+| encode_mux | 4.2101 | 4.2018 | 4.0936 | 4.1218 |
+
+| Measured peak across both presets, GiB | Stock | Paiton |
+|---|---:|---:|
+| Sampled driver VRAM | 31.110 | 30.534 |
+| Torch allocation | 4.955 | 4.151 |
+| Torch reservation | 7.064 | 4.973 |
+| Sampled process RSS | 9.517 | 9.428 |
+| Process lifetime RSS high-water mark | 9.562 | 9.601 |
+| Sampled process swap | 0.393 | 0.000 |
+
+Driver/host telemetry is sampled every 0.5 seconds and can miss short peaks.
+AIMDO weights sit largely outside Torch's allocator. These memory columns are
+not additive. The host has 15.5 GiB usable RAM and a SATA SSD; pinned H2D was
+about 11 GiB/s and direct SSD reads about 553 MB/s. Selected dynamic scheduling
+is feasible on this 16 GB host. Larger host caches caused swapping; no extra
+pinned-memory cache is in the package.
+
+The hot denoiser stays resident. Component disk-read counts are retained for
+every phase; loading and transfers are included in those clocks. Loader
+staging/execution overlap, so phase movement is not reported as an invented
+separate additive duration. A representative hot denoiser profile showed one
+20.2 microsecond HtoD event and flat disk counters; its transfer byte count was
+unavailable. This is not denoiser block streaming on every evaluation. Smaller
+intermediate allocations reduce dynamic eviction and conditioning reloads.
+
+| Mean phase disk reads, decimal GB | Turbo4 stock | Turbo4 Paiton | Turbo8 stock | Turbo8 Paiton |
+|---|---:|---:|---:|---:|
+| conditioning | 2.421 | 0.804 | 1.978 | 0.766 |
+| sampling | 2.636 | 2.136 | 2.674 | 2.049 |
+| video_decode | 2.435 | 2.430 | 2.422 | 2.421 |
+| audio_decode | 0.257 | 0.257 | 0.257 | 0.257 |
+
+Measured maximum temperatures were 59°C core, 86°C hotspot, 75°C memory. AUTO/COMPUTE was unchanged. Raw sampled clocks, power, host and driver telemetry remain with the local evidence.
+
+## Correctness and quality
+
+All ten paired clips, including both warmups, have bit-equal video/audio
+latents and byte-identical MP4 files. All decoded files have 124 distinct
+frames, 864×480 and 24 fps. Video lasts 5.1667 s. Generated audio is 165600
+samples at 32000 Hz (5.175 s); AAC decoding returns 165888 samples because of
+padding and the muxed audio duration is about 5.167 s. Do not describe the clip
+as exactly five seconds or its track endings as exactly sample aligned.
+
+- Four-step fox: coherent motion/anatomy, natural birds/water confirmed by the
+ reviewer. Four-step barista: coherent cup handoff; reviewer confirmed clear
+ speech and reasonable lip synchronization. Those listening confirmations
+ cover these clips, not all prompts or the separate eight-step adapter.
+- Four-step pouring: two bottles instead of the requested one. Flow/glass are
+ coherent, but prompt adherence fails on object count. AAC has two channel
+ samples at/above full scale (peak about 1.00053).
+- Eight-step pouring: one bottle with pronounced foam and incomplete final
+ placement. AAC has five full-scale/overshoot channel samples (peak about
+ 1.02007). The native waveform reaches its decoder clamp. No normalization,
+ audio replacement or mixing hides these shared limitations.
+- No exact duplicated frames or nonfinite outputs were found. Contact sheets
+ and private comparison reels are retained. Visual inspection covers these
+ fixed prompts; a single numerical score is not proof of broad quality.
+
+Equality is with the selected lossy quantized stock path, not full-precision
+original H3. The pruned AdaLN fit, W4 weights, encoder quantization, INT8 VAE and
+step-distilled adapters all have their own quality limits. Hosted context
+processing/2K regeneration are absent. Other workloads/settings are unqualified.
+
+## Compiler/runtime validation and evidence
+
+Seven ROCm artifact tests pass: complete projection outputs, boundary token
+counts, W4/SwiGLU handling, Turbo residual scales 1/16 and 1, dense attention,
+graph replay and the earlier FLUX projection ABI. Stock quantizers, adapter
+GEMMs, scheduler, RNG consumption, positions, packing and normalization remain
+intact. Four-step clips exercise 600 residual, 200 SwiGLU and 200 attention
+calls; eight-step clips exercise twice those counts. Unsupported cases retain
+native fallback. Both engines execute the packaged ComfyUI four-step graph;
+its decoded media matches the CLI. UI cache reuse is a functional check, not a
+fresh-prompt performance sample.
+
+The selected artifact is:
+`minimax_h3_projections_gfx1201.so`, 838384 bytes, SHA-256
+`06c7232319e48b8332e75f7980ee4a6e596dad7d99a2875640858a94f14aca56`.
+
+Immutable checkpoint revisions/sizes/SHA-256: [checkpoints.lock.json](checkpoints.lock.json).
+Raw per-run timing, memory, file hashes and case data:
+[Turbo4 JSON](benchmark-data/container-turbo4-fused-v4.json),
+[Turbo4 CSV](benchmark-data/container-turbo4-fused-v4.csv),
+[Turbo8 JSON](benchmark-data/container-turbo8-fused-v4.json),
+[Turbo8 CSV](benchmark-data/container-turbo8-fused-v4.csv).
+Each engine's exact local image identity is in these records. Turbo4 stock
+uses the preceding local image; its stock runner, CLI, checkpoint lock,
+dependency lock and native H3 model/VAE code were SHA-256-verified identical.
+Both images share the immutable base and pinned dependencies. The image change
+adds Paiton's unit-scale adapter entry point. Turbo8 uses the final image for
+both engines.
+
+The binary is supplied in the local bundle; no public artifact endpoint exists.
+Compiler rebuilds preserve generated sources, but HIP build identities can
+change ELF hashes. The manifest pins the tested binary rather than promising
+bit-reproducible ELF output. Commands/raw telemetry, retained clips, contact
+sheets and unpublished demos remain local/private.
+
+## Earlier experiments and rejected paths
+
+Projection-only Paiton averaged 92.39 s versus 96.43 s stock (4.19%). New
+profiling exposed adapter scaling/addition and attention costs; fusing those
+operations produced the present result. Earlier baseline/reference records
+remain alongside final data and are not current release claims.
+
+Attention scheduling/packing and exact residual/SwiGLU fusion improved complete
+clips. Wider tiles, extra pipeline stages, alternate attention barriers and
+video-decoder graph capture lost or did not help. A 4 GiB host cache saved only
+about 1.3 s and caused process swap, so it was rejected. Selective decoder
+projections saved about one second but changed pixels (RMSE .00189); fused
+RMS/RoPE and tile batching also introduced numerical variants for small gains.
+These decoder changes were not promoted.
+
+Published group-wise INT4/SVDQuant checkpoints inspected during this round use
+different model/layout/runtime assumptions; CUDA/A100/4090 claims do not
+establish gfx1201 support. A bounded 11.34 GB uncalibrated INT8-donor-to-W4A4
+conversion did run native RDNA4 INT4 WMMA and produced a coherent clip, but
+changed image detail/composition. Its approximately 7 s denoiser evaluations
+were slower than the compiled W4A8 path. This probe is not a release checkpoint
+and does not rule out calibrated group-wise INT4 with residual correction.
+Original weights were preserved; selected release files require no local
+conversion. No larger inference machine, hosted generation or paid resources
+were used.
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..3dc3518ce1216f9fd625cc84023c6b78b8b44d5a
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,28 @@
+# syntax=docker/dockerfile:1.7
+# Publishable artifact/dependency image. ComfyUI is installed from its
+# pinned upstream source only in the end user's local image (Dockerfile.local).
+FROM ghcr.io/eliovp/paiton-vllm-plugin@sha256:c56baf54aca1ad229829c1de26e8792806608e65ee9d06ee210b79cd49f70bc9
+HEALTHCHECK NONE
+LABEL org.opencontainers.image.title="Paiton MiniMax H3 RDNA4 artifacts and dependencies" \
+ dev.paiton.gpu.arch="gfx1201" \
+ org.opencontainers.image.source="https://github.com/Eliovp-BV/paiton-vllm-plugin" \
+ org.opencontainers.image.version="minimax-h3-rdna4-v1.0.0"
+ENV PYTHONPATH=/opt/h3:/opt/h3-deps:/opt/paiton/venv-site-packages:/opt/paiton/site-packages \
+ PAITON_H3_DATA=/data PAITON_COMFY_ROOT=/opt/comfyui \
+ HF_HOME=/data/cache HF_HUB_CACHE=/data/cache/hub \
+ TRITON_CACHE_DIR=/data/cache/triton TORCHINDUCTOR_CACHE_DIR=/data/cache/inductor \
+ XDG_CACHE_HOME=/data/cache/xdg \
+ VLLM_USE_PAITON_PLATFORM=0 VLLM_DISABLE_PAITON_PLATFORM=1 \
+ MIOPEN_FIND_MODE=FAST HF_HUB_DISABLE_TELEMETRY=1
+COPY requirements.lock.txt /opt/h3/requirements.lock.txt
+COPY paiton_video /opt/h3/paiton_video
+COPY artifacts /opt/h3/artifacts
+RUN test -s /opt/h3/artifacts/minimax_h3_projections_gfx1201.so
+COPY checkpoints.lock.json extra_model_paths.yaml LICENSE NOTICE THIRD_PARTY_NOTICES.md /opt/h3/
+COPY LICENSES /opt/h3/LICENSES
+
+RUN python3 -c 'import torch; assert torch.version.hip; print(torch.__version__)'
+RUN python3 -c 'import importlib.util; assert importlib.util.find_spec("comfy") is None; assert importlib.util.find_spec("comfyui_frontend_package") is None'
+WORKDIR /outputs
+ENTRYPOINT ["python3", "-m", "paiton_video"]
+CMD ["--help"]
diff --git a/Dockerfile.local b/Dockerfile.local
new file mode 100644
index 0000000000000000000000000000000000000000..2f23c0abe61175536bf74af5627b68f5f701de25
--- /dev/null
+++ b/Dockerfile.local
@@ -0,0 +1,17 @@
+# syntax=docker/dockerfile:1.7
+# Built locally by launch.sh. Do not upload this combined image.
+ARG PAITON_H3_BASE_IMAGE=ghcr.io/eliovp/paiton-vllm-plugin:minimax-h3-rdna4-v1.0.0
+FROM ${PAITON_H3_BASE_IMAGE}
+LABEL dev.paiton.distribution="local-assembly-only"
+RUN python3 -m pip install --no-cache-dir --no-deps --target /opt/h3-deps -r /opt/h3/requirements.lock.txt
+RUN git init /opt/comfyui \
+ && git -C /opt/comfyui remote add origin https://github.com/Comfy-Org/ComfyUI.git \
+ && git -C /opt/comfyui fetch --depth 1 origin efa6c8f804bff78b46a0fd458ebd2e47bba07a30 \
+ && git -C /opt/comfyui checkout --detach FETCH_HEAD \
+ && test "$(git -C /opt/comfyui rev-parse HEAD)" = efa6c8f804bff78b46a0fd458ebd2e47bba07a30 \
+ && rm -rf /opt/comfyui/.git
+RUN git clone --depth 1 --branch v1.51.10 https://github.com/Comfy-Org/ComfyUI_frontend.git /opt/comfyui-frontend-source \
+ && test "$(git -C /opt/comfyui-frontend-source rev-parse HEAD)" = e7d1c7fc6823e330fdab524610b0000394cb1dbc \
+ && rm -rf /opt/comfyui-frontend-source/.git
+COPY comfyui/paiton_h3 /opt/comfyui/custom_nodes/paiton_h3
+COPY comfyui/workflows /opt/comfyui/custom_nodes/paiton_h3/example_workflows
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
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diff --git a/LICENSES/ComfyUI-GPL-3.0.txt b/LICENSES/ComfyUI-GPL-3.0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/LICENSES/ComfyUI-GPL-3.0.txt
@@ -0,0 +1,674 @@
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
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+combined work, and to convey the resulting work. The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+ 14. Revised Versions of this License.
+
+ The Free Software Foundation may publish revised and/or new versions of
+the GNU General Public License from time to time. Such new versions will
+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+ Each version is given a distinguishing version number. If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation. If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+ If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+ Later license versions may give you additional or different
+permissions. However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+ 15. Disclaimer of Warranty.
+
+ THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+ 16. Limitation of Liability.
+
+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+ 17. Interpretation of Sections 15 and 16.
+
+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+
+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+ Copyright (C)
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+ This is free software, and you are welcome to redistribute it
+ under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License. Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+.
+
+ The GNU General Public License does not permit incorporating your program
+into proprietary programs. If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library. If this is what you want to do, use the GNU Lesser General
+Public License instead of this License. But first, please read
+.
diff --git a/LICENSES/MiniMax-H3-Community.txt b/LICENSES/MiniMax-H3-Community.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e318fb9a6e1d79acfaebb3c29c93db7623effe79
--- /dev/null
+++ b/LICENSES/MiniMax-H3-Community.txt
@@ -0,0 +1,84 @@
+MiniMax H3 COMMUNITY LICENSE AGREEMENT
+MiniMax H3 release date/License date: August 2, 2026.
+The scope of this License Agreement (this “Agreement”) is expressly limited to the “Applicable Territory” as defined below.
+By clicking to accept, or by using, reproducing, modifying, distributing, running, or displaying any portion or element of the MiniMax H3 Works (including through any Hosted Services) in any manner, you acknowledge and accept the terms of this Agreement, and this Agreement shall take immediate effect upon the occurrence of such act.
+I. Definitions
+1. “Acceptable Use Policy” means the policy published by MiniMax in Exhibit A.
+2. “Agreement” means the terms and conditions set forth herein that govern the use, reproduction, distribution, modification, running, and display of the MiniMax H3 Works or any portion or element thereof.
+3. “Applicable Territory” means worldwide, excluding the Excluded Territories.
+4. “Documentation” means the specifications, manuals, and documentation concerning MiniMax H3 that are publicly released by MiniMax.
+5. “Excluded Territories” means the European Union, the United Kingdom, the Republic of Korea and the United States of America.
+6. “MiniMax H3” means the video generation model, together with its software and algorithms, including trained model weights, parameters (including optimizer states), machine-learning model code, inference-supporting code, and other elements thereof made publicly available by Us, as released at https://huggingface.co/MiniMaxAI/MiniMax-H3.
+7. “MiniMax H3 Works” means (i) the Materials, (ii) the Model Derivatives, and (iii) all derivatives thereof.
+8. “Hosted Services” means hosted services provided via application programming interfaces (APIs), web access, or any other electronic or remote means.
+9. “Licensee,” “you,” or “your” means the natural or legal person exercising rights and/or using the MiniMax H3 Works for any purpose in any field of use under this Agreement.
+10. “Materials” means, collectively, MiniMax H3 and the Documentation (and any portion thereof), in each case as made available by MiniMax under this Agreement and proprietary to MiniMax.
+11. “Model Derivatives” means all of the following: (i) any modification of MiniMax H3 or any Model Derivative thereof; (ii) any work based on MiniMax H3 or any Model Derivative thereof; or (iii) any other machine learning model created by transferring the patterns of the weights, parameters, operational patterns, or Outputs of MiniMax H3 or any Model Derivative thereof to another model, such that the latter model exhibits behavior similar to MiniMax H3 or its Model Derivatives, including by distillation methods, methods using intermediate data representations, or methods based on training using synthetic-data Outputs generated by MiniMax H3 or its Model Derivatives. For the avoidance of doubt, Outputs are not deemed Model Derivatives.
+12. “Output” means any result of operating or otherwise using MiniMax H3 or any Model Derivatives (including through Hosted Services).
+13. “Third Party” means any natural or legal person that is not under common control with us or with you.
+14. “Including” means “including but not limited to.”
+15. “We,” “Us” or “MiniMax” means Nanonoble Pte. Ltd..
+II. Grant of Rights
+Solely within the Applicable Territory, we grant you a non-exclusive, non-transferable, royalty-free, limited license to use, reproduce, distribute, create derivative works (including Model Derivatives), and modify the Materials in accordance with the terms of this Agreement and the Acceptable Use Policy, based on the intellectual property and other rights owned by MiniMax that are embodied in or used by the Materials. You shall not violate (or encourage or permit any person to violate) any term of this Agreement or the Acceptable Use Policy.
+We will continuously evaluate the applicable laws, regulations and compliance requirements for the Excluded Territories. In the meantime, should any person in such Excluded Territories be interested in deploying our models, you are welcome to contact us about obtaining a license, which will be granted based on robust controls and guardrails for purposes of complying with the laws, regulations and compliance requirements of the Excluded Territories.
+III. Distribution and Redistribution
+Subject to and conditioned on your continuing compliance with this Agreement, including its territorial restrictions and the Acceptable Use Policy, and solely within the Applicable Territory, you may distribute or make available the MiniMax H3 Works to Third Parties within the Applicable Territory; provided, that all of the following conditions are met:
+1. You must provide a copy of this Agreement to all such Third Parties who receive the MiniMax H3 Works or use your products or services related thereto;
+2. You must cause any modified files to carry prominent notices stating that you have modified such files;
+3. You are encouraged to:
+ a. display a notice on any product or service developed using MiniMax H3 indicating that the product or service is “Powered by MiniMax H3”;
+ b. add an AI-generation identifier to files produced using generative AI models including MiniMax H3; and
+ c. publish at least one technical blog post or a public statement describing your experience using MiniMax H3 Works;
+4. All distributions to Third Parties (other than through Hosted Services) must be accompanied by a “NOTICE” text file containing the following notice:
+ “MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.”
+You may add your own copyright notices on your modifications; except as provided in this Section and in Section V, however, you may not impose additional or different terms and conditions on the use, reproduction, or distribution of your modifications or of any aggregate Model Derivatives, and your use, reproduction, modification, distribution, running, and display of the work must otherwise comply with the terms and conditions of this Agreement (including the provisions concerning the Applicable Territory). If you receive the MiniMax H3 Works from a Licensee as part of an integrated end-user product, the provisions of Section III of this Agreement do not apply to you, but Section V and Exhibit A remain applicable.
+IV. Additional Commercial Terms
+1. You shall obtain a separate, prior written authorization from MiniMax by contacting api@minimax.io with the subject line “MiniMax H3 licensing - authorization request”, if your commercial products and services generate more than 20 million US dollars (or equivalent in other currencies) in yearly revenue.
+2. You shall prominently display “MiniMax H3”on the user interface of commercial product or service that uses MiniMax H3 or MiniMax H3 Works.
+V. Use Restrictions
+1. Your use of the MiniMax H3 Works must comply with applicable laws and regulations (including trade-compliance laws and regulations) and must comply with the Acceptable Use Policy for the MiniMax H3 Works, which is incorporated into this Agreement by reference.
+2. Before providing access to the MiniMax H3 Works or any product, service, or Hosted Service incorporating them, you must bind each recipient or user to enforceable terms at least as protective as the use restrictions in this Section V and Exhibit A, and you must notify each recipient or user that those restrictions apply.
+3. You may not use the MiniMax H3 Works or any of their Outputs or results to improve any other artificial intelligence model (other than MiniMax H3 or its Model Derivatives).
+4. You may not use, reproduce, modify, distribute, or display the MiniMax H3 Works or any of their Outputs or results outside the Applicable Territory. Any such use outside the Applicable Territory is not authorized by this Agreement.
+5. If you provide or make available to any Third Party a product, service, or Hosted Service that permits the generation of Outputs using MiniMax H3 or any Model Derivative, you must, before making that product or service available and throughout its operation, implement, maintain, test, and periodically review reasonable and proportionate technical and organizational safeguards designed to prevent and mitigate access, uses, and Outputs that violate this Section V or Exhibit A, including uses or Outputs that infringe, misappropriate, or otherwise violate any Third Party’s intellectual-property or other rights. You must not knowingly disable, materially weaken, or permit the circumvention of those safeguards. You must maintain a reasonably accessible mechanism for reporting suspected violations. Upon receiving a good-faith report or otherwise obtaining actual knowledge of a violation, you must promptly investigate and take reasonable steps within your control to stop or mitigate the violation, including removing or disabling access to offending content or services and suspending or terminating repeat violators where appropriate. You are responsible for implementing and enforcing these requirements with respect to your products, services, systems, users, and downstream recipients.
+VI. Intellectual Property
+1. Subject to MiniMax’s rights in the MiniMax H3 Works (and the intellectual property therein), and to your compliance with the terms and conditions of this Agreement, as between you and MiniMax, you will own the derivative works and modifications of the Materials that you have created or had created, as well as any Model Derivatives.
+2. Except for the limited license expressly granted in this paragraph, no trademark license is granted under this Agreement; with respect to MiniMax H3 Works, the Licensee may not use any name or mark owned by or associated with MiniMax or any of its affiliates, except as reasonably and customarily necessary to describe and distribute the MiniMax H3 Works. MiniMax hereby grants you a license to use the “MiniMax H3” mark (the “Mark”) within the Applicable Territory solely for the purpose of complying with Section III.3; provided, that you comply with all applicable trademark-protection laws. All goodwill arising from your use of the Mark shall inure to the benefit of MiniMax.
+3. If you bring or assert any suit or other legal proceeding (including a cross-claim or counterclaim in any action) against us or any other natural or legal person alleging that the Materials, any Output, or any portion of the foregoing infringes any intellectual property right or other right owned by you or for which you can obtain a license, all licenses granted to you under this Agreement will terminate as of the date such suit or proceeding is filed. You shall defend, indemnify, and hold us harmless against any Third-Party claim arising out of or related to the use or distribution of the MiniMax H3 Works by you or by any Third Party.
+4. MiniMax claims no rights over the Outputs you generate. You and your users are entirely responsible for the Outputs and any subsequent use thereof.
+VII. Disclaimers and Limitations of Liability
+1. We have no obligation to support, update, provide training for, or develop any further version of the MiniMax H3 Works, or to grant any license with respect thereto.
+2. UNLESS AND ONLY TO THE EXTENT REQUIRED BY APPLICABLE LAW, THE MINIMAX H3 WORKS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED “AS IS” WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES OF ANY KIND INCLUDING ANY WARRANTIES OF TITLE, MERCHANTABILITY, NONINFRINGEMENT, COURSE OF DEALING, USAGE OF TRADE, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING, REPRODUCING, MODIFYING, PERFORMING, DISPLAYING OR DISTRIBUTING ANY OF THE MINIMAX H3 WORKS OR OUTPUTS AND ASSUME ANY AND ALL RISKS ASSOCIATED WITH YOUR OR A THIRD PARTY’S USE OR DISTRIBUTION OF ANY OF THE MINIMAX H3 WORKS OR OUTPUTS AND YOUR EXERCISE OF RIGHTS AND PERMISSIONS UNDER THIS AGREEMENT.
+3. TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT SHALL MINIMAX OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, FOR ANY DAMAGES, INCLUDING ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, CONSEQUENTIAL OR PUNITIVE DAMAGES, OR LOST PROFITS OF ANY KIND ARISING FROM THIS AGREEMENT OR RELATED TO ANY OF THE MINIMAX H3 WORKS OR OUTPUTS, EVEN IF MINIMAX OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
+VIII. Term and Termination
+1. This Agreement is effective from the moment you accept this Agreement or begin accessing the Materials, and, subject to your compliance with its terms and conditions, will remain in effect until terminated as provided herein.
+2. If you breach any term or condition of this Agreement, we have the right to terminate this Agreement. Upon termination, you must immediately cease accessing, using, and distributing the MiniMax H3 Works; delete or destroy all copies within your possession or control; and notify each downstream recipient that your authorization has ended. The obligations in the preceding sentence and Sections VI.1, VI.3, VII, and IX survive termination.
+IX. Governing Law and Jurisdiction
+1. This Agreement, and any dispute arising out of or related to this Agreement, shall be governed by the laws of the Hong Kong Special Administrative Region of the People’s Republic of China, without regard to its conflict-of-laws rules. The United Nations Convention on Contracts for the International Sale of Goods does not apply to this Agreement.
+2. Any dispute arising out of or related to this Agreement shall be subject to the exclusive jurisdiction of the courts of the Hong Kong Special Administrative Region of the People’s Republic of China with competent jurisdiction. Both MiniMax and the Licensee hereby consent to the exclusive jurisdiction of such courts for any such dispute.
+Additional Note: Please note that the encoder of MiniMax H3 uses Qwen3-VL-32B, which is licensed under Apache 2.0 License: https://github.com/QwenLM/Qwen3-VL/blob/main/LICENSE.
+
+Exhibit A — Acceptable Use Policy
+MiniMax reserves the right to update this Acceptable Use Policy from time to time.
+Last revised: August 2, 2026.
+MiniMax is committed to promoting the safe and fair use of its tools and features, including MiniMax H3. You agree not to use MiniMax H3, any Model Derivatives, or any Output in any of the following ways:
+1. Use outside the Applicable Territory;
+2. Use in any manner that violates any applicable national, federal, state, local, or international law, regulation, or other legal requirement, or that infringes, misappropriates, or otherwise violates any Third Party’s intellectual-property or other proprietary rights, including through unauthorized reproduction, distribution, public display, public performance, or creation of derivative works;
+3. Use in any manner that may harm yourself or others;
+4. Use to repurpose or distribute the Outputs of MiniMax H3 or any Model Derivatives in order to harm yourself or others;
+5. Use to circumvent or bypass any safety guardrails or safeguards we have implemented;
+6. Use in any manner that exploits or harms, or intends to exploit or harm, minors;
+7. Use to generate or disseminate verifiably false information and/or content for the purpose of harming others or influencing elections;
+8. Use to manufacture or facilitate false online engagement, including fake reviews and other means of false online engagement;
+9. Use to intentionally defame, disparage, or otherwise harass others;
+10. Use to generate and/or disseminate malware (including ransomware) or any other content intended to damage electronic systems;
+11. Use to generate or disseminate personally identifiable information for the purpose of harming others;
+12. Use to generate or disseminate information (including images, code, posts, or articles) in or to any public environment (including via bot tweets or similar means) without clearly and prominently disclosing that such information and/or content is machine-generated;
+13. Use to impersonate another person without that person’s consent, authorization, or lawful right to do so;
+14. Use to make high-risk automated decisions in critical domains that affect individual safety, rights, or well-being (such as law enforcement, immigration, healthcare or medical services, critical-infrastructure management, product-safety components, essential services, credit, employment, housing, education, social scoring, or insurance);
+15. Use in any manner that violates or disregards the social, ethical, or moral standards of other countries or regions;
+16. Use to carry out, assist, threaten, incite, plan, advocate for, or encourage violent extremism or terrorism;
+17. Use for any purpose intended to discriminate against, or harm, individuals or groups based on protected characteristics or categories, online or offline social behavior, or known or predicted personality traits;
+18. Use to intentionally exploit the vulnerabilities of specific populations based on age, social, physical, or psychological characteristics, so as to materially distort the behavior of a member of that group in a manner that causes, or is likely to cause, physical or psychological harm to that person or to others;
+19. Use for military purposes;
+20. Use to engage in any unauthorized or unlicensed professional activity, including but not limited to financial, legal, medical or healthcare, or other professional practice.
diff --git a/LICENSES/Triton-MIT.txt b/LICENSES/Triton-MIT.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1d0238e86b1b43e123c9eb136eb0b2c0e1658d63
--- /dev/null
+++ b/LICENSES/Triton-MIT.txt
@@ -0,0 +1,23 @@
+/*
+* Copyright 2018-2020 Philippe Tillet
+* Copyright 2020-2022 OpenAI
+*
+* Permission is hereby granted, free of charge, to any person obtaining
+* a copy of this software and associated documentation files
+* (the "Software"), to deal in the Software without restriction,
+* including without limitation the rights to use, copy, modify, merge,
+* publish, distribute, sublicense, and/or sell copies of the Software,
+* and to permit persons to whom the Software is furnished to do so,
+* subject to the following conditions:
+*
+* The above copyright notice and this permission notice shall be
+* included in all copies or substantial portions of the Software.
+*
+* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
diff --git a/LICENSES/comfy-kitchen-Apache-2.0.txt b/LICENSES/comfy-kitchen-Apache-2.0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8847637261d5706d1dc56b38b252b0abbac54218
--- /dev/null
+++ b/LICENSES/comfy-kitchen-Apache-2.0.txt
@@ -0,0 +1,202 @@
+
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
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+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
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+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
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+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
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+ 2. Grant of Copyright License. Subject to the terms and conditions of
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+ meet the following conditions:
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+ (a) You must give any other recipients of the Work or
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+ (b) You must cause any modified files to carry prominent notices
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+ (c) You must retain, in the Source form of any Derivative Works
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+ You may add Your own copyright statement to Your modifications and
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+ for any such Derivative Works as a whole, provided Your use,
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+
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
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+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+ 6. Trademarks. This License does not grant permission to use the trade
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+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+ 9. Accepting Warranty or Additional Support. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+ END OF TERMS AND CONDITIONS
+
+ APPENDIX: How to apply the Apache License to your work.
+
+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "[]"
+ replaced with your own identifying information. (Don't include
+ the brackets!) The text should be enclosed in the appropriate
+ comment syntax for the file format. We also recommend that a
+ file or class name and description of purpose be included on the
+ same "printed page" as the copyright notice for easier
+ identification within third-party archives.
+
+ Copyright (c) 2025 Comfy Org. All rights reserved.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
diff --git a/NOTICE b/NOTICE
new file mode 100644
index 0000000000000000000000000000000000000000..4471660d6db27e4c5ffe1876bb9ba2c7d0109540
--- /dev/null
+++ b/NOTICE
@@ -0,0 +1,13 @@
+Paiton MiniMax H3 runtime integration
+Copyright ElioVP
+
+The compiled artifact runtime includes AITemplate-derived host support.
+Copyright (c) Meta Platforms, Inc. and affiliates.
+Triton-generated host/device code retains the notice in LICENSES/Triton-MIT.txt.
+
+MiniMax H3 is developed by MiniMax. Weights are downloaded separately from
+the immutable upstream checkpoints listed in checkpoints.lock.json.
+This package does not imply endorsement by MiniMax or the quantization authors.
+
+MiniMax H3 is licensed under the MiniMax H3 Community License Agreement,
+Copyright © 2026 MiniMax. All Rights Reserved.
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..47ebd0292e01c1c35f6d89b50960232029e1fab0
--- /dev/null
+++ b/README.md
@@ -0,0 +1,127 @@
+---
+license: other
+license_name: minimax-h3-community-license-agreement
+license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/42ed227ee7df40d41602854ae760620d6eb651fe/LICENSE
+base_model: MiniMaxAI/MiniMax-H3
+base_model_relation: quantized
+library_name: paiton
+pipeline_tag: text-to-video
+inference: false
+tags:
+ - paiton
+ - amd
+ - rocm
+ - rdna4
+ - gfx1201
+ - compiled-model
+ - video-generation
+ - audio-video-generation
+ - w4a8
+---
+
+# MiniMax H3 W4A8 with Paiton on Radeon AI PRO R9700
+
+**Runtime package and compiled artifacts; no model weights are mirrored here.**
+This package executes upstream quantized MiniMax H3 FL2VA with H3 Turbo on one
+32 GB gfx1201 GPU. Original checkpoints download from their pinned publishers.
+The Paiton runtime bindings use Apache-2.0; H3 and its derivatives retain the
+custom community license above. See the complete third-party notices.
+
+
+
+Create **video with native stereo audio** locally on one **Radeon AI PRO R9700, 32 GB**. The included workflow generates a continuous **15.08-second, 864×480 clip at 24 fps**. Powered by MiniMax H3.
+
+Paiton takes **332.85 seconds** versus **399.40 seconds** for the matched stock request: **16.66% lower end-to-end latency** and **19.99% more clips per hour**. Fresh conditioning, video/audio decoding and writing a playable MP4 are included. All three paired long clips have equal video/audio latents and byte-identical MP4s.
+
+## Start ComfyUI with one command
+
+```bash
+git clone --depth 1 https://github.com/Eliovp-BV/paiton-vllm-plugin.git && cd paiton-vllm-plugin && ./models/MiniMax-H3/launch.sh
+```
+
+Open [ComfyUI](http://127.0.0.1:8190/?paiton=1). The first visit opens the connected **Turbo8 15-second workflow**. Edit the prompt and click **Run**. Choose **paiton** or **stock** in **MiniMax H3 Engine**. Keep the seed fixed when comparing engines.
+
+
+
+The helper pulls the versioned GHCR artifact image, prepares pinned ComfyUI components locally, verifies the model downloads and starts the interface. Models and caches persist in `~/.local/share/paiton/minimax-h3/` (or your XDG data directory); videos go to `~/paiton-videos/`. Both paths are independent of the working directory. Subsequent launches reuse the local image and model cache. Ports bind to localhost.
+
+From this model directory, `./launch.sh --logs` follows startup and `./launch.sh --stop` stops H3 while preserving caches, videos and user settings. `PAITON_H3_DATA`, `PAITON_H3_OUTPUTS` and `PAITON_H3_PORT` override those defaults. Stop other GPU generation workloads before starting H3.
+
+With weights already present, the first 15-second requests took **423.6 s stock** and **381.0 s Paiton**, after process setup. First download, verification, local image preparation and a cold disk/runtime cache add time. One **32 GB R9700** is required. Long-clip sampled driver memory reached **30.34 GiB**. We tested **16 GB system RAM with 4 GB swap**; lifetime process RSS reached 12.09 GiB, and up to 1.24 GiB of process swap was sampled. **24 GB or more host RAM is recommended** for the browser, longer requests and other applications. Allow **60 GB free disk** for the approximately 6 GB image, 33.96 GB selected weights, caches and outputs. Both adapters share the large components and total 35.92 GB of checkpoint files. Use SSD storage. Filesystems without hard-link support can require another 34 GB for duplicate cache copies.
+
+## Choose a workflow
+
+| Workflow | Output | Purpose |
+| --- | --- | --- |
+| `turbo8-15s.json` | 362 frames, 15.0833 s | Default continuous scene; eight evaluations |
+| `turbo8.json` | 124 frames, 5.1667 s | Shorter eight-step scene |
+| `turbo4.json` | 124 frames, 5.1667 s | Faster four-step alternative with a quality tradeoff |
+
+All use 864×480, 24 fps and native 32 kHz stereo. Find them in the included workflow templates or load the JSON from `comfyui/workflows/`. H3 snaps frame counts upward to its `17k+5` grid: requesting 360 frames produces 362. It does not produce exactly 15.000 seconds at this setting.
+
+To add the faster short preset, run `./run.sh download --profile turbo4` and open `turbo4.json`. To install only Turbo4 initially, use `PAITON_H3_PRESET=turbo4 ./launch.sh` and open the URL printed by the launcher.
+
+## Terminal generation
+
+Stop the interface before launching a separate GPU pipeline:
+
+```bash
+./launch.sh --stop
+./run.sh download --profile turbo8
+./run.sh generate --engine paiton --preset turbo8 --frames 362 \
+ --prompt 'A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech.' \
+ --seed 771 --output /outputs/fox-15s
+```
+
+The clip is saved as `~/paiton-videos/fox-15s/clip-0.mp4`. For a faster short request use `--preset turbo4 --frames 124` after downloading its adapter. `generate` includes startup for each new process; benchmark mode keeps the pipeline loaded.
+
+## Reproduce the comparison
+
+```bash
+./launch.sh --stop
+./run.sh benchmark --engine stock --preset turbo8 --frames 362 --output /outputs/stock-15s
+./run.sh benchmark --engine paiton --preset turbo8 --frames 362 --output /outputs/paiton-15s
+./run.sh report /outputs/paiton-15s
+./run.sh inspect /outputs/paiton-15s/clip-2.mp4 --output /outputs/paiton-15s/quality
+```
+
+Each benchmark performs one warmup and two measured requests, encoding the prompt afresh every time. It retains commands, MP4s, raw timings, latent tensors and telemetry. Use fresh output directories and run the engines sequentially with the same settings. ComfyUI's node cache may reuse identical requests, so cached UI timings are a separate scenario.
+
+| Matched Turbo8, 15.08-second clip | Stock | Paiton |
+| --- | ---: | ---: |
+| Complete playable MP4 | 399.40 s | **332.85 s** |
+| Pipeline before file encoding | 385.60 s | 318.98 s |
+| Fixed-length clips per hour | 9.01 | **10.82** |
+| Generated video seconds per wall second | 0.0378 | 0.0453 |
+
+
+The earlier three-prompt qualification also measured the short presets:
+
+| Matched preset, 5.17-second clip | Stock | Paiton | Lower latency |
+| --- | ---: | ---: | ---: |
+| Turbo4, four evaluations | 64.15 s | 54.38 s | 15.24% |
+| Turbo8, eight evaluations | 95.83 s | 80.60 s | 15.89% |
+
+
+Full settings, component times, memory definitions, per-run data and quality limits are in [BENCHMARKS.md](BENCHMARKS.md).
+
+## Requirements and supported scope
+
+- Linux x86-64, Docker Engine with Compose, and working `/dev/kfd` and `/dev/dri` access for gfx1201.
+- Pinned Torch **2.12.0+rocm7.14.0**, Triton **3.7.1 ROCm**, ComfyUI commit `efa6c8f804bff78b46a0fd458ebd2e47bba07a30`, kitchen **0.2.33** and AIMDO **0.5.2**. The container setup supplies the software; the host supplies the AMD driver.
+- A single GPU, batch one, Euler/simple, shifts video/audio 6/3, BasicGuider and exactly four or eight denoiser evaluations. The qualified long preset uses eight.
+- Component scheduling uses smart memory, Dynamic VRAM, two transfer streams, `--fast-disk` and a 2 GB GPU reserve. Avoid `--high-ram` on the tested 16 GB host.
+
+The denoiser uses upstream pruned FL2VA W4A8 weights. The required Qwen3-VL-32B intermediate-state encoder uses NVFP4/AWQ storage with FP16 computation; it is not replaced by a smaller model. The video VAE uses INT8 weights/BF16 computation and audio VAE remains FP32. Both compared engines use the same quantized checkpoints and Turbo adapter. Original full-precision quality parity is unproven.
+
+The 15-second fox scene retains a consistent subject and continuous movement. The reviewer confirmed natural audio throughout. Short dialogue also passed listening review. Four-step pouring duplicates a bottle; eight-step pouring has excessive foam and incomplete placement. The pouring clips contain a brief native audio transient. These are retained limitations, not fixes applied to the soundtrack.
+
+Hosted context processing, 2K regeneration, image/reference conditioning, larger canvases, other GPUs and unlisted durations/presets are outside this qualification. Unsupported kernel shapes fall back to native operations; loading is not proof of practical performance for those settings.
+
+## Downloads, artifacts and licenses
+
+[checkpoints.lock.json](checkpoints.lock.json) records immutable upstream revisions, sizes and SHA-256 values. Downloads preserve original bytes and reuse the persistent cache. No checkpoint conversion or calibration is required locally. `./run.sh download --verify-only --rehash` verifies complete files. Optional reference weights under `--profile all` need substantially more disk.
+
+The GHCR artifact image is `ghcr.io/eliovp/paiton-vllm-plugin:minimax-h3-rdna4-v1.0.0`. The private compiler is not required. `Dockerfile` reproduces that artifact image when the binary from the release bundle is present; `Dockerfile.local` prepares the complete ComfyUI engine locally. `./launch.sh --build` rebuilds both from the bundle. The combined local image is not a distribution artifact.
+
+MiniMax H3 uses a custom community license with territory and commercial-scale restrictions. Obtain the applicable rights before downloading or using its derivatives. Upstream model and encoder terms remain applicable; this runtime package does not relicense them. See [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md), retained licenses and [MiniMax's license](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/42ed227ee7df40d41602854ae760620d6eb651fe/LICENSE).
diff --git a/SHA256SUMS b/SHA256SUMS
new file mode 100644
index 0000000000000000000000000000000000000000..65f1a201a4ff379125d1b34a3d81a69ece3d2d79
--- /dev/null
+++ b/SHA256SUMS
@@ -0,0 +1,67 @@
+15ab71c25ab4c1424cd31886a83477bffbff4ba2d73e744a57396914ca9ca806 .dockerignore
+91fbf180a066ef988923e41f522331de4736d07e9d6caec0780362deef7b71a1 BENCHMARKS.md
+57cf198f0cbad834dbccb6fb3397ee91e2fabc382e8bb438fe2ab09d06f52795 Dockerfile
+d77d5ad217baf52bc39fa8752b3fcaf04027b0f953969c964f4e835fb8edb326 Dockerfile.local
+c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 LICENSE
+3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986 LICENSES/ComfyUI-GPL-3.0.txt
+bfbcb14b8ae22b2ff0b9eb9a7151d37d9411851a1be651023c7709091e0eec8f LICENSES/MiniMax-H3-Community.txt
+92640fb97222fd0a698ff28ce0c3782c172623f8d6c609b557636a80f28fb946 LICENSES/Triton-MIT.txt
+cd1c9ea1573c9047e9b5a3676ecc1c8f755e56f249ac1ebd8b5ceda7899037da LICENSES/comfy-kitchen-Apache-2.0.txt
+0437f03a89777ae6d8c4d235f1f432236b1b85bfa5e10d8505cea20d97bd8e69 NOTICE
+1253a645b6e2cf768173a051b27e209ac6fb3dd14a5a54dfdd6f6795dcf12af3 README.md
+be5560b79e4272c9b024b5fd5e1cbdfe78ee5b1d453f0a9eb28b5884c4c2e9c2 THIRD_PARTY_NOTICES.md
+74b0d2aceae79573ee1b2cb4b9eae785a157465f3697b78038f9a426cf563396 artifacts/README.md
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+fc2a70d10cd0c71bf3deb58ff8a5418e9a69b4a0d3cad9688ac74b74f8943e99 comfyui/paiton_h3/__init__.py
+c614b29a752408ab7972106d5b3dd609d8a540403f0dfeb7c246d9830254aedf comfyui/paiton_h3/web/start.js
+b919bc201c6295870ce34d0b8f457d1113f427bc8e2accadc104e2b35eead311 comfyui/workflows/base20.api.json
+ea2d536b4c0d50e2d2752e122ab3c4616fa70b892bf0881d09f892531128920d comfyui/workflows/turbo4.api.json
+8f6323b0bbba0881132294d363b4204ba15ef49ecd17279035c408d0752f8c79 comfyui/workflows/turbo4.json
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+8efd28754178fc8133bd60a689d4f234916c08f02ac16a2441fca92d3faca286 comfyui/workflows/turbo8.json
+42f394c74d8b5302dec4fbec799fac80cf267bee3f62117927a5d94465dd5148 compose.yaml
+27e39af59135c2ec94edd6d33c8184fc832dda0376c2388d05d444de2bacaeeb extra_model_paths.yaml
+f81a0a43611f7bf549388f5227d85e4ef82bad0c89789cfa144057780fce726a image.sh
+d5901a5369245f8662330f1f4e60183bf25de791742c58a804f8cae5d4a35162 launch.sh
+74e01ccae099f077e27fdb2bb7dd71be63aec3c4a5e0b9b7b2c04eefb1430f93 paiton-minimax-h3-rdna4-v1.0.0.tar.gz
+3eb1479a760b21ae8ee583f38c6877b8d41a58633335b11ba34aad8a7e83107e paiton-minimax-h3-rdna4-v1.0.0.tar.gz.sha256
+d51d76441675dd2a376437953b8494c0a5ecfbbf9ab286c8bc1c9cd81f77ca09 paiton_video/__init__.py
+459e30df38a8dbdfe60125b835bb39c49fce96b0487b19eed5b28b7bc7bc0b0e paiton_video/__main__.py
+1b807c7ad73db44dc84e96002e0f79bfd9bbcae836770adef17815bf28485c7c paiton_video/download.py
+edb5fc5adb140b628a7aaf89ee365adb40451a8da0c6eb7c6efbc4bc14671454 paiton_video/fusions.py
+f115fcda25e1d18805d46af63989f767ce22f9b340d370be60cbbfd6a2ca1d43 paiton_video/inspect_clip.py
+d3d9cb745d6f7ea7c18916b76091202dcbc259b81b882637ff52f15604a46943 paiton_video/projection.py
+fabf4a929ef892788f042960e1d8a4c66c07bbfec48a945df6044c110311986c paiton_video/qualification.py
+506127e62cde36721986581c93e06d2f830585546c2b67a0d1a8d70db352d5a1 paiton_video/report_runs.py
+74c81f434b91b3b1e9329b0b2fc4eb3b736ee545447df0a9b490cec214f6abd3 prompts.json
+4361448a15677014461a914c90a6bf40cecb7d85330395929eb2b4bfc892d48a release.lock.json
+1b681ec6df21eeaca636378132681531db9b44cdedc40de5f311b46d4689e75c requirements.lock.txt
+db1916df84251ec2a03594b5ec7ef22b3c7c5575009e309ffd06c195c0636aa7 run.sh
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
new file mode 100644
index 0000000000000000000000000000000000000000..18aedec5b9228ddeb16dd809d8484e88925fa473
--- /dev/null
+++ b/THIRD_PARTY_NOTICES.md
@@ -0,0 +1,51 @@
+# Third-party notices and local assembly
+
+The GHCR candidate contains independently compiled Paiton artifacts, public
+Python bindings and an existing pinned ROCm base. New H3 dependencies,
+including GPL-3.0 AIMDO and codec wheels, are installed only during local assembly. It does not contain ComfyUI core,
+the ComfyUI frontend, model weights or private compiler source. `launch.sh`
+pulls that image and builds a second image locally from pinned upstream
+ComfyUI sources. This locally assembled image is not a publication artifact.
+
+| Component | License/source |
+|---|---|
+| H3 base and derivative weights | [MiniMax H3 Community License](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/42ed227ee7df40d41602854ae760620d6eb651fe/LICENSE), retained in LICENSES |
+| Qwen3-VL-32B encoder ancestry | [Original Qwen model card](https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct/tree/0cfaf48183f594c314753d30a4c4974bc75f3ccb) declares Apache-2.0; see the quantization provenance note below |
+| ComfyUI core | [GPL-3.0](https://github.com/Comfy-Org/ComfyUI/tree/efa6c8f804bff78b46a0fd458ebd2e47bba07a30), full source in the local image |
+| ComfyUI frontend | [GPL-3.0](https://github.com/Comfy-Org/ComfyUI_frontend/tree/e7d1c7fc6823e330fdab524610b0000394cb1dbc), matching source/build files in the local image |
+| AIMDO memory manager | [comfy-aimdo 0.5.2](https://github.com/Comfy-Org/comfy-aimdo), installed locally | GPL-3.0 |
+| comfy-kitchen | [Apache-2.0](https://github.com/Comfy-Org/comfy-kitchen/tree/e9ea99cf2f0af1d0c49c04690d4153a91c2b8668) |
+| Paiton Python bindings and launch recipes | Apache-2.0, LICENSE and NOTICE |
+| AITemplate-derived artifact host runtime | Apache-2.0, Meta Platforms notices |
+| Triton-generated code | MIT, retained notice |
+| Torch, ROCm and inherited dependencies | Notices retained in the pinned public base image |
+
+H3's community license has territory and commercial-scale restrictions;
+quantization and a Turbo adapter do not remove them. Obtain applicable H3
+rights before downloading or using its derivatives. An adapter's Apache-2.0
+metadata does not relicense the base model. This package does not establish
+general authorization to redistribute converted H3 weights.
+
+The Comfy encoder identifies the cybermotaz NVFP4 conversion as its source.
+That [publisher's pinned card](https://huggingface.co/cybermotaz/Qwen3-VL-32B-Instruct/tree/dfcab1395094f56d3c78ba472158284def0fc278)
+labels its terms "Qwen License" and links to a missing LICENSE file, while the
+original Qwen card declares Apache-2.0. This metadata discrepancy is retained
+for the redistribution review; no new license grant from this package is
+implied. The selected Comfy encoder bytes remain pinned and unchanged and are
+downloaded directly from its publisher; this package does not redistribute them.
+
+The local engine loads the artifact into a process using GPL-3.0 ComfyUI.
+The source-based local assembly follows the distinction between private use
+and distribution in the [GNU licensing FAQ](https://www.gnu.org/licenses/gpl-faq.en.html#GPLRequireSourcePostedPublic).
+This packaging approach does not grant permission to redistribute the combined
+local image. Redistributors must independently satisfy the licenses of the
+combination; supplying only ComfyUI source does not settle a linked artifact's
+corresponding-source obligations. The independently distributed artifact has
+no ComfyUI code or linkage dependency; it exports tensor kernel entry points.
+
+The H3 fusion artifact also contains a modified D128 INT8 attention kernel and
+required fragment helpers derived from comfy-kitchen v0.2.33
+(e9ea99cf2f0af1d0c49c04690d4153a91c2b8668), Copyright (c) 2025 Comfy Org.,
+Apache License 2.0. Changes include prepacked K/V fragments, query tiling,
+native U8 packing and instruction scheduling. The original attention
+quantization and online softmax arithmetic are retained.
diff --git a/artifacts/README.md b/artifacts/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..14ad6553f41c5cfaf6cad92e412df607228b2a3c
--- /dev/null
+++ b/artifacts/README.md
@@ -0,0 +1,9 @@
+# Qualified gfx1201 artifact
+
+The local review bundle includes `minimax_h3_projections_gfx1201.so` and its
+SHA-256-checked manifest. The runtime checks the hash, target and ABI before
+loading it. The binary is generated and is not tracked as compiler source.
+A source checkout requires the separately supplied review artifact before
+building the runtime image; no public artifact download has been published.
+
+See the package's THIRD_PARTY_NOTICES.md before distributing a combined image.
diff --git a/artifacts/minimax_h3_projections_gfx1201.manifest.json b/artifacts/minimax_h3_projections_gfx1201.manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddfdc2e432dddeb6f9bece239d26b75a311920ff
--- /dev/null
+++ b/artifacts/minimax_h3_projections_gfx1201.manifest.json
@@ -0,0 +1,150 @@
+{
+ "artifact": {
+ "filename": "minimax_h3_projections_gfx1201.so",
+ "sha256": "8138dda01ce0fa5923b733e0242121e9f605a405aa85d5212e0160f5b28df657",
+ "size_bytes": 842528
+ },
+ "binary_abi_version": 1,
+ "capability_version": 1,
+ "h3_fusion_abi_version": 1,
+ "h3_fusions": [
+ "turbo_bf16_residual_1_16_and_unit",
+ "paired_bf16_swiglu",
+ "dense_int8_attention_d128"
+ ],
+ "h3_max_tokens": 49152,
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+ "roles": [
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+ [
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+ [
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+ {
+ "dtype": "float32",
+ "name": "sa",
+ "roles": [
+ "input"
+ ],
+ "shape_values": [
+ [
+ 15456
+ ]
+ ]
+ },
+ {
+ "dtype": "float32",
+ "name": "sw",
+ "roles": [
+ "input"
+ ],
+ "shape_values": [
+ [
+ 28672
+ ]
+ ]
+ },
+ {
+ "dtype": "uint8",
+ "name": "w",
+ "roles": [
+ "input"
+ ],
+ "shape_values": [
+ [
+ 28672
+ ],
+ [
+ 5376
+ ]
+ ]
+ }
+ ]
+ },
+ "manifest_version": 1,
+ "memory_planning": {
+ "activation_blob_bytes": 0,
+ "compiler_owned_constant_bytes": 0,
+ "shared_workspace_bytes": 0,
+ "unique_workspace_bytes": 0
+ },
+ "model": {
+ "repository": "Comfy-Org/MiniMax-H3",
+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
+ "scope": "fl2va_pruned_int8_accumulation_projections",
+ "supported_storage": [
+ "int8_convrot",
+ "asym_w4a8_int8"
+ ]
+ },
+ "parallelism": {
+ "tp_size": 1
+ },
+ "target": {
+ "arch": "gfx1201",
+ "capabilities": [
+ "bf16",
+ "fp16",
+ "fp32",
+ "gfx12",
+ "int8",
+ "ocp_fp8",
+ "wave32",
+ "wmma"
+ ],
+ "family": "rdna4",
+ "fp8_format": "ocp",
+ "matrix_isas": [
+ "wmma"
+ ],
+ "max_lds_bytes": 65536,
+ "wave_size": 32
+ },
+ "toolchain": {
+ "ck_revision": "3df477638d05169dbe73f4d58e3a13ad3ca7b5da",
+ "compiler_revision": "cc106b804b4a8b01f59174bac902616099e2b598",
+ "hipblaslt": "/opt/rocm/core-7.14/lib/libhipblaslt.so.1.4",
+ "hipcc": "HIP version: 7.14.60850-0000000",
+ "packages": {
+ "paiton-vllm-plugin": null,
+ "torch": "2.12.0+rocm7.14.0",
+ "transformers": "5.15.1",
+ "triton": "3.7.1+git0263a6a6.rocm7.14.0",
+ "vllm": null
+ },
+ "python": "3.12.3",
+ "rocblas": "/opt/rocm/core-7.14/lib/librocblas.so.5.5",
+ "rocm_path": "/opt/rocm"
+ }
+}
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diff --git a/assets/long15-timings.csv b/assets/long15-timings.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0963be3d37044be51c853288358e0273bf7ebcc7
--- /dev/null
+++ b/assets/long15-timings.csv
@@ -0,0 +1,7 @@
+engine,run,warmup,seconds,pipeline_before_encoding_seconds,actual_frames,fps,denoiser_evaluations,sampled_driver_peak_bytes,sampled_rss_peak_bytes,sampled_process_swap_peak_bytes
+stock,0,True,423.58530087501276,409.5015952560352,362,24,8,32480808960,11793178624,524005376
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diff --git a/benchmark-cases.json b/benchmark-cases.json
new file mode 100644
index 0000000000000000000000000000000000000000..9c2166bece462381d36b01a2d9822c11a0894bed
--- /dev/null
+++ b/benchmark-cases.json
@@ -0,0 +1,27 @@
+[
+ {
+ "id": "fox",
+ "seed": 771,
+ "prompt": "A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech."
+ },
+ {
+ "id": "barista",
+ "seed": 772,
+ "prompt": "Realistic cinematic medium close-up in a quiet cafe. An adult woman barista in a dark apron gently sets a white cup of coffee on the wooden counter, looks at the customer beside the camera, smiles and says clearly, \"Here is your coffee.\" One continuous shot, natural facial motion, consistent hands and cup. Audio: her natural voice synchronized with her lips, a soft ceramic clink and quiet cafe ambience; no music."
+ },
+ {
+ "id": "barista",
+ "seed": 772,
+ "prompt": "Realistic cinematic medium close-up in a quiet cafe. An adult woman barista in a dark apron gently sets a white cup of coffee on the wooden counter, looks at the customer beside the camera, smiles and says clearly, \"Here is your coffee.\" One continuous shot, natural facial motion, consistent hands and cup. Audio: her natural voice synchronized with her lips, a soft ceramic clink and quiet cafe ambience; no music."
+ },
+ {
+ "id": "pouring_water",
+ "seed": 773,
+ "prompt": "Realistic macro product film. A hand tilts a clear glass bottle and pours sparkling water into a clear drinking glass on a wooden table. A continuous visible stream of water, rising water level and tiny bubbles. Soft window light, a gentle camera push-in, one continuous shot with consistent glass geometry. Audio: close-up water pouring and fizzing, the bottle softly touching the table at the end; no speech or music."
+ },
+ {
+ "id": "pouring_water",
+ "seed": 773,
+ "prompt": "Realistic macro product film. A hand tilts a clear glass bottle and pours sparkling water into a clear drinking glass on a wooden table. A continuous visible stream of water, rising water level and tiny bubbles. Soft window light, a gentle camera push-in, one continuous shot with consistent glass geometry. Audio: close-up water pouring and fizzing, the bottle softly touching the table at the end; no speech or music."
+ }
+]
diff --git a/benchmark-data/comfyui-media-parity.json b/benchmark-data/comfyui-media-parity.json
new file mode 100644
index 0000000000000000000000000000000000000000..55e9a0cec58b1984d9ee3fe9063b5e79d2acc513
--- /dev/null
+++ b/benchmark-data/comfyui-media-parity.json
@@ -0,0 +1,7 @@
+{
+ "video_frames": 362,
+ "decoded_video_equal": true,
+ "decoded_audio_equal": true,
+ "ui_filename": "fox-15s-paiton_00001_.mp4",
+ "audio_decoded_bytes": 3866624
+}
diff --git a/benchmark-data/container-turbo4-fused-v4.csv b/benchmark-data/container-turbo4-fused-v4.csv
new file mode 100644
index 0000000000000000000000000000000000000000..494f859a42cd7026112f428a50c6d00e403e1637
--- /dev/null
+++ b/benchmark-data/container-turbo4-fused-v4.csv
@@ -0,0 +1,11 @@
+engine,run,case,seed,measured,seconds,pipeline_before_encoding_seconds,actual_denoiser_evaluations,mp4_sha256
+stock,0,fox,771,False,109.15953955100849,104.41552537900861,4,e5cee85ef26390625f461339fd3e26da065e0c6332834345a1ebf2daaca9114f
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+paiton,3,pouring_water,773,True,54.35176666203188,49.98045967402868,4,c825e1300c013411302012d3ab714416f5cdd16de90f02c8c0e4aa55be44d037
+paiton,4,pouring_water,773,True,54.18644733901601,49.91906158498023,4,c825e1300c013411302012d3ab714416f5cdd16de90f02c8c0e4aa55be44d037
diff --git a/benchmark-data/container-turbo4-fused-v4.json b/benchmark-data/container-turbo4-fused-v4.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a15c1e89b285aaf8f72082a485188a5c4168213
--- /dev/null
+++ b/benchmark-data/container-turbo4-fused-v4.json
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+{
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diff --git a/benchmark-data/container-turbo8-fused-v4.csv b/benchmark-data/container-turbo8-fused-v4.csv
new file mode 100644
index 0000000000000000000000000000000000000000..911cec5c58ec2df7bfc2b94c51d63ba9ff9e7948
--- /dev/null
+++ b/benchmark-data/container-turbo8-fused-v4.csv
@@ -0,0 +1,11 @@
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diff --git a/benchmark-data/container-turbo8-fused-v4.json b/benchmark-data/container-turbo8-fused-v4.json
new file mode 100644
index 0000000000000000000000000000000000000000..1d42305a55b31dc3de10c626031f8eeca2123ab0
--- /dev/null
+++ b/benchmark-data/container-turbo8-fused-v4.json
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diff --git a/benchmark-data/container-turbo8.csv b/benchmark-data/container-turbo8.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f7c7fb3eea28fb3769f348a82535d9da3630f46c
--- /dev/null
+++ b/benchmark-data/container-turbo8.csv
@@ -0,0 +1,11 @@
+engine,case,run,measured,seconds,pipeline_before_encoding_seconds,actual_denoiser_evaluations,sampled_vram_bytes,sampled_rss_bytes,sampled_swap_bytes
+stock,fox,0,False,146.88341750396648,142.31992648896994,8,32519278592,9411551232,680275968
+stock,barista,1,True,96.5717928300146,92.49673759401776,8,33404227584,8498659328,253333504
+stock,barista,2,True,96.40755371598061,92.34940106800059,8,32699752448,8497471488,253321216
+stock,pouring_water,3,True,96.4094683030271,92.33111152000492,8,32699768832,8498270208,253304832
+stock,pouring_water,4,True,96.32773223798722,92.20826637599384,8,32699764736,8748638208,252657664
+paiton,fox,0,False,134.69670529599534,130.04659306595568,8,32516882432,9192501248,0
+paiton,barista,1,True,92.3031940330402,88.2566597420373,8,32714358784,9634689024,0
+paiton,barista,2,True,92.94325050502084,88.78931022202596,8,32714502144,9181872128,0
+paiton,pouring_water,3,True,92.03727844398236,88.08110509300604,8,32714579968,9306144768,0
+paiton,pouring_water,4,True,92.26923663797788,87.97691611101618,8,32714575872,9169047552,0
diff --git a/benchmark-data/container-turbo8.json b/benchmark-data/container-turbo8.json
new file mode 100644
index 0000000000000000000000000000000000000000..12a24ba301a77958aa16af3b78b7e64561a01311
--- /dev/null
+++ b/benchmark-data/container-turbo8.json
@@ -0,0 +1,795 @@
+{
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+ "stock_mp4_sha256": "0bc685d7cb9f57050b40cb90695eac111c51ff0d093297286598ffc80b369f3d",
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+ "stock_mp4_sha256": "0bc685d7cb9f57050b40cb90695eac111c51ff0d093297286598ffc80b369f3d",
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+ "stock_mp4_sha256": "6887cd19142012e23cb884f7d00860c3c0c011f62752f8e69e416fcba68e30e0",
+ "paiton_mp4_sha256": "6887cd19142012e23cb884f7d00860c3c0c011f62752f8e69e416fcba68e30e0"
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+ {
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+ "stock_mp4_sha256": "6887cd19142012e23cb884f7d00860c3c0c011f62752f8e69e416fcba68e30e0",
+ "paiton_mp4_sha256": "6887cd19142012e23cb884f7d00860c3c0c011f62752f8e69e416fcba68e30e0"
+ }
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+}
diff --git a/benchmark-data/fox-turbo8.csv b/benchmark-data/fox-turbo8.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d534b47b3085251087c63f2017d915d3d7d11aeb
--- /dev/null
+++ b/benchmark-data/fox-turbo8.csv
@@ -0,0 +1,7 @@
+engine,prompt_id,seed,run,warmup,seconds,before_encoding_seconds,frames,fps,evaluations
+stock,fox,771,0,True,138.79645964998053,133.94803803198738,124,24,8
+stock,fox,771,1,False,95.66152773500653,90.90614187699975,124,24,8
+stock,fox,771,2,False,95.48165465099737,90.7411914819968,124,24,8
+paiton,fox,771,0,True,131.10298629599856,126.4249234739691,124,24,8
+paiton,fox,771,1,False,91.72879602800822,87.0126210390008,124,24,8
+paiton,fox,771,2,False,91.89858691801783,87.27220980299171,124,24,8
diff --git a/benchmark-data/fox-turbo8.json b/benchmark-data/fox-turbo8.json
new file mode 100644
index 0000000000000000000000000000000000000000..1fdf5a5f9f6b479479885606ca1c4b79cab6927e
--- /dev/null
+++ b/benchmark-data/fox-turbo8.json
@@ -0,0 +1,243 @@
+{
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+ "canvas": [
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+ 480
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+}
diff --git a/benchmark-data/long15-parity.json b/benchmark-data/long15-parity.json
new file mode 100644
index 0000000000000000000000000000000000000000..637497a27980ac7eae8c857edc3c8d972c0bcd76
--- /dev/null
+++ b/benchmark-data/long15-parity.json
@@ -0,0 +1,76 @@
+{
+ "records": [
+ {
+ "run": 0,
+ "video_latents_equal": true,
+ "audio_latents_equal": true,
+ "video_shape": [
+ 1,
+ 24,
+ 107,
+ 30,
+ 54
+ ],
+ "audio_shape": [
+ 1,
+ 32,
+ 2,
+ 603
+ ],
+ "video_latent_max_abs_diff": 0.0,
+ "audio_latent_max_abs_diff": 0.0,
+ "mp4_equal": true,
+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
+ },
+ {
+ "run": 1,
+ "video_latents_equal": true,
+ "audio_latents_equal": true,
+ "video_shape": [
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+ 24,
+ 107,
+ 30,
+ 54
+ ],
+ "audio_shape": [
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+ 32,
+ 2,
+ 603
+ ],
+ "video_latent_max_abs_diff": 0.0,
+ "audio_latent_max_abs_diff": 0.0,
+ "mp4_equal": true,
+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
+ },
+ {
+ "run": 2,
+ "video_latents_equal": true,
+ "audio_latents_equal": true,
+ "video_shape": [
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+ 107,
+ 30,
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+ "audio_shape": [
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+ 603
+ ],
+ "video_latent_max_abs_diff": 0.0,
+ "audio_latent_max_abs_diff": 0.0,
+ "mp4_equal": true,
+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
+ }
+ ],
+ "all_video_latents_equal": true,
+ "all_audio_latents_equal": true,
+ "all_mp4_equal": true
+}
diff --git a/benchmark-data/paiton-runtime-final-parity.json b/benchmark-data/paiton-runtime-final-parity.json
new file mode 100644
index 0000000000000000000000000000000000000000..ab4b37dbef13557f753ecd6cda95459fce73cf6f
--- /dev/null
+++ b/benchmark-data/paiton-runtime-final-parity.json
@@ -0,0 +1,6 @@
+{
+ "artifact_platform_manifest_unchanged": true,
+ "qualified_artifact_platform_manifest": "sha256:56c405453d21fd405ab0bb3f7eb0e0a2d6069ab672d617c319528e210ff2dd19",
+ "final_artifact_platform_manifest": "sha256:56c405453d21fd405ab0bb3f7eb0e0a2d6069ab672d617c319528e210ff2dd19",
+ "scope": "Identical manifest means identical artifact-image contents, including all Paiton inference code and binaries. Final local image changes only the ComfyUI first-visit viewport; 571 stock files/dependencies and the browser-exported inference graph also match."
+}
diff --git a/benchmark-data/quality-turbo4-fused-v4.json b/benchmark-data/quality-turbo4-fused-v4.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3dd0bf9d308a145fd800d7218014d4c6c389d57
--- /dev/null
+++ b/benchmark-data/quality-turbo4-fused-v4.json
@@ -0,0 +1,59 @@
+{
+ "preset": "turbo4",
+ "quality_scope": "Three fixed stock clips. Every matched Paiton file is byte-identical. These checks do not establish full-precision quality parity.",
+ "clips": [
+ {
+ "case": "fox",
+ "video_frames": 124,
+ "duplicate_frame_pairs": [],
+ "audio_shape": [
+ 2,
+ 165888
+ ],
+ "audio_sample_rates": [
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+ ],
+ "audio_finite": true,
+ "audio_peak": 0.056413937360048294,
+ "audio_rms": 0.010378457300153443,
+ "audio_fraction_at_or_above_one": 0.0
+ },
+ {
+ "case": "barista",
+ "video_frames": 124,
+ "duplicate_frame_pairs": [],
+ "audio_shape": [
+ 2,
+ 165888
+ ],
+ "audio_sample_rates": [
+ 32000
+ ],
+ "audio_finite": true,
+ "audio_peak": 0.37296199798583984,
+ "audio_rms": 0.021237892528660516,
+ "audio_fraction_at_or_above_one": 0.0
+ },
+ {
+ "case": "pour",
+ "video_frames": 124,
+ "duplicate_frame_pairs": [],
+ "audio_shape": [
+ 2,
+ 165888
+ ],
+ "audio_sample_rates": [
+ 32000
+ ],
+ "audio_finite": true,
+ "audio_peak": 1.0005277395248413,
+ "audio_rms": 0.03604781942728985,
+ "audio_fraction_at_or_above_one": 6.028163580246913e-06
+ }
+ ],
+ "human_listening": {
+ "fox": "Natural ambience confirmed",
+ "barista": "Intelligible dialogue and lip synchronization confirmed: Yes perfect"
+ },
+ "visual_limits": "Two bottles instead of the requested one in pouring"
+}
diff --git a/benchmark-data/quality-turbo8-fused-v4.json b/benchmark-data/quality-turbo8-fused-v4.json
new file mode 100644
index 0000000000000000000000000000000000000000..863dfb1b13b79671bb628d9046fbac0fb382162c
--- /dev/null
+++ b/benchmark-data/quality-turbo8-fused-v4.json
@@ -0,0 +1,59 @@
+{
+ "preset": "turbo8",
+ "quality_scope": "Three fixed stock clips. Every matched Paiton file is byte-identical. These checks do not establish full-precision quality parity.",
+ "clips": [
+ {
+ "case": "fox",
+ "video_frames": 124,
+ "duplicate_frame_pairs": [],
+ "audio_shape": [
+ 2,
+ 165888
+ ],
+ "audio_sample_rates": [
+ 32000
+ ],
+ "audio_finite": true,
+ "audio_peak": 0.22606652975082397,
+ "audio_rms": 0.03428542765078902,
+ "audio_fraction_at_or_above_one": 0.0
+ },
+ {
+ "case": "barista",
+ "video_frames": 124,
+ "duplicate_frame_pairs": [],
+ "audio_shape": [
+ 2,
+ 165888
+ ],
+ "audio_sample_rates": [
+ 32000
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+ "barista": "No dedicated Turbo8 confirmation claimed"
+ },
+ "visual_limits": "Pronounced foam and incomplete bottle placement in pouring"
+}
diff --git a/benchmark-data/quality-turbo8.json b/benchmark-data/quality-turbo8.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5ef69bacf8ca7ec45ee061661bca4e96976ce4f
--- /dev/null
+++ b/benchmark-data/quality-turbo8.json
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diff --git a/benchmark-data/stock-runtime-parity-final.json b/benchmark-data/stock-runtime-parity-final.json
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index 0000000000000000000000000000000000000000..ca2a3648fac5777e1fb1268c4c67a6d44ed6227c
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diff --git a/benchmark-data/stock-runtime-parity.json b/benchmark-data/stock-runtime-parity.json
new file mode 100644
index 0000000000000000000000000000000000000000..c28d7e86d2301306673d0d335782695981f0527e
--- /dev/null
+++ b/benchmark-data/stock-runtime-parity.json
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+ "comfy-kitchen/comfy_kitchen/tensor/int8_utils.py": "4776532e7394c56262cc02c48217a20b520d123c2bf9539eaf77cf0ff32ff1b8",
+ "comfy-kitchen/comfy_kitchen/tensor/mxfp8.py": "fbfa46c04bdcbdfc6c70e813b3c7a7188e0921097dc096035b04389c4d661fbe",
+ "comfy-kitchen/comfy_kitchen/tensor/nvfp4.py": "ffbd27ab47a30406bfbaf7febcbea4b57f661289490d4e218c60f82be7546e82",
+ "comfy-kitchen/comfy_kitchen/tensor/svdquant_w4a4.py": "64dc20f8237475912415dcfcbe10c7ec62776c51696c347d02fb025c91cc3767",
+ "comfy-kitchen/comfy_kitchen/tensor/w4a8_int8.py": "7c3673db46a3665eb6c72a6a469b7adf55cdaaaba026b95b55ac6ef05ca17b36",
+ "comfy-aimdo/comfy_aimdo/_version.py": "01ec264ddc77dc415f9f7090821fa49ee66abd52154cbd2874e450ba377cfdee",
+ "comfy-aimdo/comfy_aimdo/aimdo.so": "e89f35e73b47d90829d8c3720b7803148ae56d274fa43eed93793e82909caf54",
+ "comfy-aimdo/comfy_aimdo/aimdo_rocm.so": "1b2a6f826a67b3fbb8f02c88b71852b8108d740cd8fbbe39b796ab385a959dc9",
+ "comfy-aimdo/comfy_aimdo/control.py": "5351645a4b465e3b0e057963a6001d0a6a6e36fee5438c8488bb5e74dc956bcb",
+ "comfy-aimdo/comfy_aimdo/host_buffer.py": "1fa6dad82109f974aeac661d29754bb0cdaa30ed9f4f08b54ef843e5819c3532",
+ "comfy-aimdo/comfy_aimdo/malloc_graph.py": "ffcbff013c47996291888b7d4ad99589f8cf9bee3298844df0382bca5b61a5d5",
+ "comfy-aimdo/comfy_aimdo/model_mmap.py": "477c97442e5edb236d9cf57ef00f94d5c6d53e400b23fa71ebe6b39ee17e7859",
+ "comfy-aimdo/comfy_aimdo/model_vbar.py": "cf205dbd97d854294a57ffe11b7377165a5c8b91449168511ce2f67d959f553b",
+ "comfy-aimdo/comfy_aimdo/torch.py": "0432df3bd7573e79edc82c32e3cddf06efe0202f45d1c5da82815231d5b275e5",
+ "comfy-aimdo/comfy_aimdo/vram_buffer.py": "9a7a6f4ea505e72b0dafb175c118f787330a1b19862241b19139bc5b7b2894d7"
+ },
+ "versions": {
+ "torch": "2.12.0+rocm7.14.0",
+ "triton": "3.7.1+git0263a6a6.rocm7.14.0",
+ "comfy-kitchen": "0.2.33",
+ "comfy-aimdo": "0.5.2",
+ "transformers": "5.15.1",
+ "av": "18.1.0",
+ "imageio-ffmpeg": "0.6.0",
+ "numpy": "2.4.2"
+ }
+ }
+ }
+}
diff --git a/checkpoints.lock.json b/checkpoints.lock.json
new file mode 100644
index 0000000000000000000000000000000000000000..44f3f175d42ecd8496feeb9d8466f84fe988fa06
--- /dev/null
+++ b/checkpoints.lock.json
@@ -0,0 +1,105 @@
+{
+ "base_model": {
+ "repository": "MiniMaxAI/MiniMax-H3",
+ "revision": "42ed227ee7df40d41602854ae760620d6eb651fe",
+ "license": "MiniMax-H3 Community License"
+ },
+ "files": [
+ {
+ "repository": "Comfy-Org/MiniMax-H3",
+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
+ "file": "diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+ "destination": "diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+ "bytes": 20970379616,
+ "sha256": "e889202c41dafb67b10d67b97f0d8541508036a6090af23425a5c2615d03c47a",
+ "profiles": [
+ "int8-reference"
+ ]
+ },
+ {
+ "repository": "Comfy-Org/MiniMax-H3",
+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
+ "file": "text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+ "destination": "text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+ "bytes": 15687142551,
+ "sha256": "35a88d51044231fe332301d7a62aa81e3f2cba62febeb446e2c1e3e0ef76f2c6",
+ "profiles": [
+ "base20",
+ "turbo8",
+ "turbo4"
+ ]
+ },
+ {
+ "repository": "Comfy-Org/MiniMax-H3",
+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
+ "file": "vae/minimax_h3_video_vae_fp16.safetensors",
+ "destination": "vae/minimax_h3_video_vae_fp16.safetensors",
+ "bytes": 5207808496,
+ "sha256": "7c1f131492e7eddacaac9069a61b81bdd39de5cc96561e677c5eab1cdce5e522",
+ "profiles": [
+ "fp16-vae-reference"
+ ]
+ },
+ {
+ "repository": "Comfy-Org/MiniMax-H3",
+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
+ "file": "vae/minimax_h3_audio_vae_fp32.safetensors",
+ "destination": "vae/minimax_h3_audio_vae_fp32.safetensors",
+ "bytes": 605254808,
+ "sha256": "8e505d95dd1561d47abd43d4238fd40d9bb1ae9e147ed0a4cba778d76ae4db48",
+ "profiles": [
+ "base20",
+ "turbo8",
+ "turbo4"
+ ]
+ },
+ {
+ "repository": "starsfriday/MiniMax-H3-w4a8",
+ "revision": "2a5ad5871296af3506fda7c5edd571612253cedb",
+ "file": "minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
+ "destination": "diffusion_models/minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
+ "bytes": 12540858008,
+ "sha256": "29d0a0e4be82dacdc4a5849bf756c2b32d34131f7a18f9aac754e16a2e215eb5",
+ "profiles": [
+ "base20",
+ "turbo8",
+ "turbo4"
+ ]
+ },
+ {
+ "repository": "Kijai/MiniMax-H3-experimental",
+ "revision": "f4cac997f880e93cf6940af61ee8d58ef31ff7f3",
+ "file": "minimax_h3_video_vae_int8_convrot.safetensors",
+ "destination": "vae/minimax_h3_video_vae_int8_convrot.safetensors",
+ "bytes": 3171670912,
+ "sha256": "9bb2d96f218c76babd85e0611b85ca8fb330a90546c01a0005e8a58a59593410",
+ "profiles": [
+ "base20",
+ "turbo8",
+ "turbo4"
+ ]
+ },
+ {
+ "repository": "lightx2v/Minimax-h3-Turbo",
+ "revision": "2f015e66b37c585cea9dc4ae6f1850ea8788e742",
+ "file": "minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors",
+ "destination": "loras/minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors",
+ "bytes": 1956193000,
+ "sha256": "08cfe946033af7d27719b964b6e0a0e50c32138daabbd6ce4137e23df6bf9980",
+ "profiles": [
+ "turbo8"
+ ]
+ },
+ {
+ "repository": "lightx2v/Minimax-h3-Turbo",
+ "revision": "2f015e66b37c585cea9dc4ae6f1850ea8788e742",
+ "file": "minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",
+ "destination": "loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",
+ "bytes": 1956192992,
+ "sha256": "c396a9a06f58399e9df9754b18299818d84a2ddd371724ba48fe4a41221437dc",
+ "profiles": [
+ "turbo4"
+ ]
+ }
+ ]
+}
diff --git a/comfyui/paiton_h3/__init__.py b/comfyui/paiton_h3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ebdd469bb34b82502646f9c7e73c23cc826872a0
--- /dev/null
+++ b/comfyui/paiton_h3/__init__.py
@@ -0,0 +1,57 @@
+"""H3 artifact selection and explicit, separate video/audio VAE precisions."""
+from pathlib import Path
+import torch
+import folder_paths
+import comfy.sd
+import comfy.utils
+from paiton_video import projection
+
+
+class PaitonH3Optimize:
+ @classmethod
+ def INPUT_TYPES(cls):
+ return {"required":{"model":("MODEL",),"engine":(["paiton","stock"],)}}
+ RETURN_TYPES=("MODEL",)
+ FUNCTION="apply"
+ CATEGORY="Paiton/video"
+
+ def apply(self,model,engine):
+ from comfy.ldm.minimax.model import MiniMaxH3Model
+ if not isinstance(model.model.diffusion_model,MiniMaxH3Model):
+ raise ValueError("Paiton H3 requires a MiniMax H3 model")
+ if engine=="stock":
+ return (model,)
+ if projection._launch is None:
+ artifact=Path(projection.__file__).resolve().parents[1]/"artifacts/minimax_h3_projections_gfx1201.so"
+ projection.install_projections(artifact)
+ result=model.clone()
+ previous=result.model_options.get("model_function_wrapper")
+ def wrapper(model_function,arguments):
+ with projection.projection_scope():
+ if previous is not None:
+ return previous(model_function,arguments)
+ return model_function(arguments["input"],arguments["timestep"],**arguments["c"])
+ result.set_model_unet_function_wrapper(wrapper)
+ return (result,)
+
+
+class PaitonH3VAELoader:
+ @classmethod
+ def INPUT_TYPES(cls):
+ return {"required":{"component":(["video","audio"],)}}
+ RETURN_TYPES=("VAE",)
+ FUNCTION="load"
+ CATEGORY="Paiton/video"
+
+ def load(self,component):
+ name=("minimax_h3_video_vae_int8_convrot.safetensors" if component=="video"
+ else "minimax_h3_audio_vae_fp32.safetensors")
+ sd,metadata=comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae",name),return_metadata=True)
+ return (comfy.sd.VAE(sd=sd,metadata=metadata,
+ dtype=torch.bfloat16 if component=="video" else torch.float32),)
+
+
+NODE_CLASS_MAPPINGS={"PaitonH3Optimize":PaitonH3Optimize,"PaitonH3VAELoader":PaitonH3VAELoader}
+NODE_DISPLAY_NAME_MAPPINGS={"PaitonH3Optimize":"MiniMax H3 Engine","PaitonH3VAELoader":"MiniMax H3 VAE"}
+
+WEB_DIRECTORY="./web"
diff --git a/comfyui/paiton_h3/web/start.js b/comfyui/paiton_h3/web/start.js
new file mode 100644
index 0000000000000000000000000000000000000000..02ef5ededdb734de38e2260758ae0afa295d6fd5
--- /dev/null
+++ b/comfyui/paiton_h3/web/start.js
@@ -0,0 +1,26 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+ name: "Paiton.H3.Welcome",
+ async afterConfigureGraph() {
+ if (!new URLSearchParams(location.search).has("paiton") ||
+ localStorage.getItem("paiton.h3.started")) return;
+ localStorage.setItem("paiton.h3.started", "1");
+ try {
+ await app.ui.settings.setSettingValue("Comfy.TutorialCompleted", true);
+ const preset = new URLSearchParams(location.search).get("preset") === "turbo4" ? "turbo4" : "turbo8";
+ const workflow = preset === "turbo4" ? "turbo4.json" : "turbo8-15s.json";
+ const response = await fetch(`/api/workflow_templates/paiton_h3/${workflow}`);
+ if (!response.ok) throw new Error("Paiton workflow unavailable");
+ await app.loadGraphData(await response.json());
+ const prompt = app.graph._nodes.find(node => node.type === "MiniMaxH3ImageToVideo");
+ if (prompt) {
+ app.canvas.ds.changeScale(0.85);
+ app.canvas.centerOnNode(prompt);
+ }
+ } catch (error) {
+ localStorage.removeItem("paiton.h3.started");
+ console.error(error);
+ }
+ },
+});
diff --git a/comfyui/workflows/base20.api.json b/comfyui/workflows/base20.api.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bd6febce0b72f6cb2f332c71e1873510e876682
--- /dev/null
+++ b/comfyui/workflows/base20.api.json
@@ -0,0 +1,173 @@
+{
+ "1": {
+ "class_type": "UNETLoader",
+ "inputs": {
+ "unet_name": "minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
+ "weight_dtype": "default"
+ }
+ },
+ "2": {
+ "class_type": "CLIPLoader",
+ "inputs": {
+ "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+ "type": "minimax",
+ "device": "default"
+ }
+ },
+ "3": {
+ "class_type": "PaitonH3VAELoader",
+ "inputs": {
+ "component": "video"
+ }
+ },
+ "4": {
+ "class_type": "PaitonH3VAELoader",
+ "inputs": {
+ "component": "audio"
+ }
+ },
+ "5": {
+ "class_type": "MiniMaxH3ImageToVideo",
+ "inputs": {
+ "clip": [
+ "2",
+ 0
+ ],
+ "vae": [
+ "3",
+ 0
+ ],
+ "prompt": "A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech.",
+ "width": 864,
+ "height": 480,
+ "length": 124
+ }
+ },
+ "8": {
+ "class_type": "PaitonH3Optimize",
+ "inputs": {
+ "model": [
+ "1",
+ 0
+ ],
+ "engine": "paiton"
+ }
+ },
+ "9": {
+ "class_type": "BasicGuider",
+ "inputs": {
+ "model": [
+ "8",
+ 0
+ ],
+ "conditioning": [
+ "5",
+ 0
+ ]
+ }
+ },
+ "10": {
+ "class_type": "KSamplerSelect",
+ "inputs": {
+ "sampler_name": "res_multistep"
+ }
+ },
+ "11": {
+ "class_type": "BasicScheduler",
+ "inputs": {
+ "model": [
+ "8",
+ 0
+ ],
+ "scheduler": "simple",
+ "steps": 20,
+ "denoise": 1.0
+ }
+ },
+ "12": {
+ "class_type": "RandomNoise",
+ "inputs": {
+ "noise_seed": 771
+ }
+ },
+ "13": {
+ "class_type": "SamplerCustomAdvanced",
+ "inputs": {
+ "noise": [
+ "12",
+ 0
+ ],
+ "guider": [
+ "9",
+ 0
+ ],
+ "sampler": [
+ "10",
+ 0
+ ],
+ "sigmas": [
+ "11",
+ 0
+ ],
+ "latent_image": [
+ "5",
+ 1
+ ]
+ }
+ },
+ "14": {
+ "class_type": "VAEDecode",
+ "inputs": {
+ "samples": [
+ "13",
+ 0
+ ],
+ "vae": [
+ "3",
+ 0
+ ]
+ }
+ },
+ "15": {
+ "class_type": "VAEDecodeAudio",
+ "inputs": {
+ "samples": [
+ "13",
+ 0
+ ],
+ "vae": [
+ "4",
+ 0
+ ]
+ }
+ },
+ "16": {
+ "class_type": "CreateVideo",
+ "inputs": {
+ "images": [
+ "14",
+ 0
+ ],
+ "fps": 24,
+ "audio": [
+ "15",
+ 0
+ ],
+ "bit_depth": 8,
+ "color_space": "sRGB"
+ }
+ },
+ "17": {
+ "class_type": "SaveVideo",
+ "inputs": {
+ "video": [
+ "16",
+ 0
+ ],
+ "filename_prefix": "MiniMax-H3/base20",
+ "format": "mp4",
+ "format.codec": "h264",
+ "format.codec.encoding": "auto"
+ }
+ }
+}
diff --git a/comfyui/workflows/turbo4.api.json b/comfyui/workflows/turbo4.api.json
new file mode 100644
index 0000000000000000000000000000000000000000..b02173d404f3fa86f65ed52c0f5a341f4ac412cb
--- /dev/null
+++ b/comfyui/workflows/turbo4.api.json
@@ -0,0 +1,195 @@
+{
+ "1": {
+ "class_type": "UNETLoader",
+ "inputs": {
+ "unet_name": "minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
+ "weight_dtype": "default"
+ }
+ },
+ "2": {
+ "class_type": "CLIPLoader",
+ "inputs": {
+ "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+ "type": "minimax",
+ "device": "default"
+ }
+ },
+ "3": {
+ "class_type": "PaitonH3VAELoader",
+ "inputs": {
+ "component": "video"
+ }
+ },
+ "4": {
+ "class_type": "PaitonH3VAELoader",
+ "inputs": {
+ "component": "audio"
+ }
+ },
+ "5": {
+ "class_type": "MiniMaxH3ImageToVideo",
+ "inputs": {
+ "clip": [
+ "2",
+ 0
+ ],
+ "vae": [
+ "3",
+ 0
+ ],
+ "prompt": "A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech.",
+ "width": 864,
+ "height": 480,
+ "length": 124
+ }
+ },
+ "8": {
+ "class_type": "PaitonH3Optimize",
+ "inputs": {
+ "model": [
+ "7",
+ 0
+ ],
+ "engine": "paiton"
+ }
+ },
+ "9": {
+ "class_type": "BasicGuider",
+ "inputs": {
+ "model": [
+ "8",
+ 0
+ ],
+ "conditioning": [
+ "5",
+ 0
+ ]
+ }
+ },
+ "10": {
+ "class_type": "KSamplerSelect",
+ "inputs": {
+ "sampler_name": "euler"
+ }
+ },
+ "11": {
+ "class_type": "BasicScheduler",
+ "inputs": {
+ "model": [
+ "8",
+ 0
+ ],
+ "scheduler": "simple",
+ "steps": 4,
+ "denoise": 1.0
+ }
+ },
+ "12": {
+ "class_type": "RandomNoise",
+ "inputs": {
+ "noise_seed": 771
+ }
+ },
+ "13": {
+ "class_type": "SamplerCustomAdvanced",
+ "inputs": {
+ "noise": [
+ "12",
+ 0
+ ],
+ "guider": [
+ "9",
+ 0
+ ],
+ "sampler": [
+ "10",
+ 0
+ ],
+ "sigmas": [
+ "11",
+ 0
+ ],
+ "latent_image": [
+ "5",
+ 1
+ ]
+ }
+ },
+ "14": {
+ "class_type": "VAEDecode",
+ "inputs": {
+ "samples": [
+ "13",
+ 0
+ ],
+ "vae": [
+ "3",
+ 0
+ ]
+ }
+ },
+ "15": {
+ "class_type": "VAEDecodeAudio",
+ "inputs": {
+ "samples": [
+ "13",
+ 0
+ ],
+ "vae": [
+ "4",
+ 0
+ ]
+ }
+ },
+ "16": {
+ "class_type": "CreateVideo",
+ "inputs": {
+ "images": [
+ "14",
+ 0
+ ],
+ "fps": 24,
+ "audio": [
+ "15",
+ 0
+ ],
+ "bit_depth": 8,
+ "color_space": "sRGB"
+ }
+ },
+ "17": {
+ "class_type": "SaveVideo",
+ "inputs": {
+ "video": [
+ "16",
+ 0
+ ],
+ "filename_prefix": "MiniMax-H3/turbo4",
+ "format": "mp4",
+ "format.codec": "h264",
+ "format.codec.encoding": "auto"
+ }
+ },
+ "6": {
+ "class_type": "LoraLoaderBypassModelOnly",
+ "inputs": {
+ "model": [
+ "1",
+ 0
+ ],
+ "lora_name": "minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",
+ "strength_model": 1.0
+ }
+ },
+ "7": {
+ "class_type": "MiniMaxH3SigmaShift",
+ "inputs": {
+ "model": [
+ "6",
+ 0
+ ],
+ "shift_video": 6.0,
+ "shift_audio": 3.0
+ }
+ }
+}
diff --git a/comfyui/workflows/turbo4.json b/comfyui/workflows/turbo4.json
new file mode 100644
index 0000000000000000000000000000000000000000..42c201508f9d2e2cbabf7d42f87f6c483e7bbb73
--- /dev/null
+++ b/comfyui/workflows/turbo4.json
@@ -0,0 +1,1857 @@
+{
+ "id": "151b7f15-616c-4829-b709-2c767b8c58fb",
+ "revision": 0,
+ "last_node_id": 17,
+ "last_link_id": 40,
+ "nodes": [
+ {
+ "id": 1,
+ "type": "UNETLoader",
+ "pos": [
+ 40,
+ 80
+ ],
+ "size": [
+ 420,
+ 82
+ ],
+ "flags": {},
+ "order": 0,
+ "mode": 0,
+ "showAdvanced": null,
+ "inputs": [
+ {
+ "color_off": null,
+ "color_on": null,
+ "dir": null,
+ "label": null,
+ "localized_name": "unet_name",
+ "locked": null,
+ "name": "unet_name",
+ "nameLocked": null,
+ "removable": null,
+ "shape": null,
+ "type": "COMBO",
+ "widget": {
+ "name": "unet_name"
+ },
+ "link": null
+ },
+ {
+ "color_off": null,
+ "color_on": null,
+ "dir": null,
+ "label": null,
+ "localized_name": "weight_dtype",
+ "locked": null,
+ "name": "weight_dtype",
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+ "nameLocked": null,
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+ }
+ ],
+ "outputs": [
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+ "color_on": null,
+ "dir": null,
+ "label": null,
+ "localized_name": "IMAGE",
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+ ]
+ }
+ ],
+ "properties": {
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+ }
+ },
+ {
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+ "type": "VAEDecodeAudio",
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+ ],
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+ }
+ ],
+ "properties": {
+ "Node name for S&R": "VAEDecodeAudio"
+ }
+ },
+ {
+ "id": 16,
+ "type": "CreateVideo",
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+ ],
+ "size": [
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+ "flags": {},
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+ "shape": 7,
+ "type": "COMBO",
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+ }
+ ],
+ "outputs": [
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+ "color_off": null,
+ "color_on": null,
+ "dir": null,
+ "label": null,
+ "localized_name": "VIDEO",
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+ "Node name for S&R": "CreateVideo"
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+ "sRGB"
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+ "widgets_values_named": {
+ "fps": 24,
+ "bit_depth": 8,
+ "color_space": "sRGB"
+ }
+ },
+ {
+ "id": 17,
+ "type": "SaveVideo",
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+ "name": "format.codec.encoding"
+ },
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+ },
+ {
+ "color_off": null,
+ "color_on": null,
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+ "type": "COMFY_DYNAMICCOMBO_V3",
+ "widget": {
+ "name": "codec"
+ },
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+ }
+ ],
+ "outputs": [
+ {
+ "color_off": null,
+ "color_on": null,
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+ "label": null,
+ "localized_name": "video",
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+ }
+ ],
+ "properties": {},
+ "widgets_values": [
+ "MiniMax-H3/turbo8",
+ "mp4",
+ "h264",
+ "auto",
+ {
+ "codec": "h264"
+ }
+ ],
+ "widgets_values_named": {
+ "filename_prefix": "MiniMax-H3/turbo8",
+ "format": "mp4",
+ "format.codec": "h264",
+ "format.codec.encoding": "auto",
+ "codec": {
+ "codec": "h264"
+ }
+ }
+ }
+ ],
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+}
diff --git a/compose.yaml b/compose.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17ba4ee8803f060351086e61603e4611a772fda9
--- /dev/null
+++ b/compose.yaml
@@ -0,0 +1,27 @@
+name: paiton-h3
+services:
+ comfyui:
+ image: ${PAITON_H3_IMAGE:-paiton-minimax-h3:local-v1.0.0}
+ devices: [/dev/kfd, /dev/dri]
+ group_add: ["${PAITON_RENDER_GID:?Use launch.sh}"]
+ user: "${PAITON_UID:?Use launch.sh}:${PAITON_GID:?Use launch.sh}"
+ shm_size: 2gb
+ init: true
+ environment:
+ HF_HUB_OFFLINE: "1"
+ ports: ["127.0.0.1:${PAITON_H3_PORT:-8190}:8188"]
+ volumes:
+ - ${PAITON_H3_DATA:?Use launch.sh}:/data
+ - ${PAITON_H3_OUTPUTS:?Use launch.sh}:/outputs
+ working_dir: /opt/comfyui
+ entrypoint: [python3, main.py]
+ command: [--base-directory, /data, --user-directory, /data/user, --output-directory, /outputs,
+ --extra-model-paths-config, /opt/h3/extra_model_paths.yaml,
+ --listen, 0.0.0.0, --port, "8188", --disable-api-nodes, --use-ck-attention,
+ --bf16-vae, --fast-disk, --reserve-vram, "2", --cache-ram, "2", --preview-method, none]
+ healthcheck:
+ test: [CMD, python3, -c, "from urllib.request import urlopen; urlopen('http://127.0.0.1:8188/system_stats',timeout=3).close()"]
+ interval: 30s
+ timeout: 5s
+ start_period: 45s
+ retries: 3
diff --git a/extra_model_paths.yaml b/extra_model_paths.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a377b48024d36508aed388ba9853070dedc3b1a7
--- /dev/null
+++ b/extra_model_paths.yaml
@@ -0,0 +1,3 @@
+paiton_h3_runtime:
+ base_path: /opt/comfyui
+ custom_nodes: custom_nodes
diff --git a/image.sh b/image.sh
new file mode 100644
index 0000000000000000000000000000000000000000..a9d90f25182d24e252c701ece660d2acea8301e9
--- /dev/null
+++ b/image.sh
@@ -0,0 +1,16 @@
+#!/usr/bin/env bash
+# Shared local image preparation. Sourced by run.sh and launch.sh.
+prepare_h3_image() {
+ export PAITON_H3_BASE_IMAGE="${PAITON_H3_BASE_IMAGE:-ghcr.io/eliovp/paiton-vllm-plugin:minimax-h3-rdna4-v1.0.0}"
+ export PAITON_H3_IMAGE="${PAITON_H3_IMAGE:-paiton-minimax-h3:local-v1.0.0}"
+ if [[ "${PAITON_H3_BUILD:-0}" == 1 ]]; then
+ docker build --provenance=false -t "$PAITON_H3_BASE_IMAGE" -f "$package_dir/Dockerfile" "$package_dir"
+ elif ! docker image inspect "$PAITON_H3_BASE_IMAGE" >/dev/null 2>&1; then
+ docker pull "$PAITON_H3_BASE_IMAGE"
+ fi
+ if [[ "${PAITON_H3_BUILD:-0}" == 1 ]] || ! docker image inspect "$PAITON_H3_IMAGE" >/dev/null 2>&1; then
+ printf 'Preparing the local ComfyUI image from pinned upstream source (first launch only).\n'
+ docker build --provenance=false --build-arg "PAITON_H3_BASE_IMAGE=$PAITON_H3_BASE_IMAGE" \
+ -t "$PAITON_H3_IMAGE" -f "$package_dir/Dockerfile.local" "$package_dir"
+ fi
+}
diff --git a/launch.sh b/launch.sh
new file mode 100644
index 0000000000000000000000000000000000000000..aec68e5407e56a71d6356bf9b13d3c2bc15e2800
--- /dev/null
+++ b/launch.sh
@@ -0,0 +1,42 @@
+#!/usr/bin/env bash
+set -euo pipefail
+package_dir="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+case "${1:-start}" in
+ --help|-h) printf 'Usage: %s [--build|--stop|--logs]\n' "$0"; exit 0 ;;
+ start|--build|--stop|--logs) ;;
+ *) printf 'Unknown option: %s\n' "$1" >&2; exit 2 ;;
+esac
+command -v docker >/dev/null || { printf 'Install Docker with the Compose plugin first.\n' >&2; exit 1; }
+docker info >/dev/null 2>&1 || { printf 'Docker is unavailable for this user.\n' >&2; exit 1; }
+docker compose version >/dev/null
+[[ -e /dev/kfd && -d /dev/dri ]] || { printf 'ROCm GPU devices are required.\n' >&2; exit 1; }
+export PAITON_H3_DATA="${PAITON_H3_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/paiton/minimax-h3}"
+export PAITON_H3_OUTPUTS="${PAITON_H3_OUTPUTS:-$HOME/paiton-videos}"
+mkdir -p "$PAITON_H3_DATA/user" "$PAITON_H3_DATA/custom_nodes" "$PAITON_H3_OUTPUTS"
+export PAITON_H3_DATA="$(realpath "$PAITON_H3_DATA")"
+export PAITON_H3_OUTPUTS="$(realpath "$PAITON_H3_OUTPUTS")"
+export PAITON_RENDER_GID="$(stat -c '%g' /dev/kfd)"
+export PAITON_UID="$(id -u)" PAITON_GID="$(id -g)"
+compose=(docker compose -f "$package_dir/compose.yaml")
+case "${1:-start}" in
+ --stop) exec "${compose[@]}" down ;;
+ --logs) exec "${compose[@]}" logs --follow ;;
+ --build) export PAITON_H3_BUILD=1 ;;
+esac
+source "$package_dir/image.sh"
+prepare_h3_image
+unset PAITON_H3_BUILD
+"$package_dir/run.sh" download --profile "${PAITON_H3_PRESET:-turbo8}"
+"${compose[@]}" up -d --no-build
+printf 'Waiting for ComfyUI...\n'
+for ((attempt=0; attempt<90; attempt++)); do
+ if "${compose[@]}" exec -T comfyui python3 -c 'from urllib.request import urlopen; urlopen("http://127.0.0.1:8188/system_stats",timeout=2).close()' >/dev/null 2>&1; then
+ printf 'Open http://127.0.0.1:%s/?paiton=1&preset=%s\n' "${PAITON_H3_PORT:-8190}" "${PAITON_H3_PRESET:-turbo8}"
+ printf 'The included workflow opens on first visit. Edit the prompt and click Run.\n'
+ printf 'Videos: %s\nLogs: %s --logs\nStop: %s --stop\n' "$PAITON_H3_OUTPUTS" "$0" "$0"
+ exit 0
+ fi
+ sleep 1
+done
+printf 'ComfyUI did not become ready. Check %s --logs\n' "$0" >&2
+exit 1
diff --git a/paiton-minimax-h3-rdna4-v1.0.0.tar.gz b/paiton-minimax-h3-rdna4-v1.0.0.tar.gz
new file mode 100644
index 0000000000000000000000000000000000000000..f299d44b0182f495dbd505515e7241ebd95991aa
--- /dev/null
+++ b/paiton-minimax-h3-rdna4-v1.0.0.tar.gz
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74e01ccae099f077e27fdb2bb7dd71be63aec3c4a5e0b9b7b2c04eefb1430f93
+size 6801103
diff --git a/paiton-minimax-h3-rdna4-v1.0.0.tar.gz.sha256 b/paiton-minimax-h3-rdna4-v1.0.0.tar.gz.sha256
new file mode 100644
index 0000000000000000000000000000000000000000..eb9e079447e8b32b14b724da748f2b3c23e07683
--- /dev/null
+++ b/paiton-minimax-h3-rdna4-v1.0.0.tar.gz.sha256
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3eb1479a760b21ae8ee583f38c6877b8d41a58633335b11ba34aad8a7e83107e
+size 104
diff --git a/paiton_video/__init__.py b/paiton_video/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..65a916b2c712bce69168fe6409c095d80b3163e6
--- /dev/null
+++ b/paiton_video/__init__.py
@@ -0,0 +1 @@
+"""Runtime adapters for the qualified MiniMax H3 RDNA4 artifacts."""
diff --git a/paiton_video/__main__.py b/paiton_video/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..249d2660e049c78720c6087050d812bc744620d1
--- /dev/null
+++ b/paiton_video/__main__.py
@@ -0,0 +1,37 @@
+"""Local H3 generation and reproducible qualification commands."""
+import argparse
+from pathlib import Path
+import runpy
+import sys
+
+
+def main():
+ parser=argparse.ArgumentParser(description=__doc__)
+ parser.add_argument("command",choices=["download","generate","benchmark","inspect","report"])
+ parser.add_argument("--engine",choices=["stock","paiton"],default="paiton")
+ parser.add_argument("--preset",choices=["base20","turbo8","turbo4"],default="turbo8")
+ args,extra=parser.parse_known_args()
+ if args.command in ("download","inspect","report"):
+ module={"download":"download","inspect":"inspect_clip","report":"report_runs"}[args.command]
+ sys.argv=[module,*extra]
+ runpy.run_module("paiton_video."+module,run_name="__main__")
+ return
+ package=Path(__file__).resolve().parents[1]
+ defaults=["--attention","ck","--fast-disk","--smart-memory",
+ "--denoiser","minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
+ "--video-vae","minimax_h3_video_vae_int8_convrot.safetensors",
+ "--runs","3" if args.command=="benchmark" else "1"]
+ if args.preset in ("turbo8","turbo4"):
+ steps=args.preset.removeprefix("turbo")
+ defaults += ["--lora",f"minimax_h3_fl2v_turbo_{steps}step_v1.0_768p_comfyui_bf16.safetensors",
+ "--lora-mode","bypass","--sampler","euler","--steps",steps,
+ "--shift-video","6","--shift-audio","3"]
+ if args.engine=="paiton":
+ defaults += ["--paiton-runtime",str(package),"--paiton-projections",
+ str(package/"artifacts/minimax_h3_projections_gfx1201.so")]
+ sys.argv=["qualification",*defaults,*extra]
+ runpy.run_module("paiton_video.qualification",run_name="__main__")
+
+
+if __name__=="__main__":
+ main()
diff --git a/paiton_video/download.py b/paiton_video/download.py
new file mode 100644
index 0000000000000000000000000000000000000000..50e3b646e58b7e44e505ef2248ea780de7830859
--- /dev/null
+++ b/paiton_video/download.py
@@ -0,0 +1,55 @@
+"""Fetch immutable upstream checkpoints and verify their full SHA-256 digests."""
+import argparse
+import hashlib
+import json
+import os
+from pathlib import Path
+import shutil
+import time
+import tempfile
+
+from huggingface_hub import hf_hub_download
+
+parser=argparse.ArgumentParser(description=__doc__)
+parser.add_argument("--profile",choices=["base20","turbo8","turbo4","all"],default="turbo8")
+parser.add_argument("--verify-only",action="store_true")
+parser.add_argument("--rehash",action="store_true")
+args=parser.parse_args()
+root=Path(os.environ.get("PAITON_H3_DATA","/data")).resolve()
+lock=json.loads((Path(__file__).resolve().parents[1]/"checkpoints.lock.json").read_text())
+verified=root/"cache/verified"
+verified.mkdir(parents=True,exist_ok=True)
+for item in lock["files"]:
+ if args.profile!="all" and args.profile not in item["profiles"]:
+ continue
+ target=root/"models"/item["destination"]
+ if not target.exists():
+ if args.verify_only:
+ raise FileNotFoundError(target.name)
+ cached=Path(hf_hub_download(item["repository"],item["file"],revision=item["revision"],
+ cache_dir=root/"cache/hub")).resolve()
+ target.parent.mkdir(parents=True,exist_ok=True)
+ # Each attempt owns its temporary path; an interrupted previous
+ # download must not make the next launch copy onto a cache hard link.
+ with tempfile.TemporaryDirectory(prefix=".h3-download-",dir=target.parent) as directory:
+ temporary=Path(directory)/target.name
+ try:
+ os.link(cached,temporary)
+ except OSError:
+ shutil.copyfile(cached,temporary)
+ temporary.replace(target)
+ stat=target.stat()
+ if stat.st_size!=item["bytes"]:
+ raise ValueError(f"Unexpected size: {target.name}; original file preserved")
+ identity={"size":stat.st_size,"mtime_ns":stat.st_mtime_ns,"sha256":item["sha256"]}
+ stamp=verified/(item["sha256"]+".json")
+ if not args.rehash and stamp.exists() and json.loads(stamp.read_text())==identity:
+ print(f"Verified cache: {target.name}",flush=True)
+ continue
+ started=time.monotonic()
+ with target.open("rb") as stream:
+ digest=hashlib.file_digest(stream,"sha256").hexdigest()
+ if digest!=item["sha256"]:
+ raise ValueError(f"SHA-256 mismatch: {target.name}; original file preserved")
+ stamp.write_text(json.dumps(identity)+"\n")
+ print(f"SHA-256 verified: {target.name} ({time.monotonic()-started:.1f}s)",flush=True)
diff --git a/paiton_video/fusions.py b/paiton_video/fusions.py
new file mode 100644
index 0000000000000000000000000000000000000000..7b2c4e153d9b151da6d8bd5555adf6dd595c0de3
--- /dev/null
+++ b/paiton_video/fusions.py
@@ -0,0 +1,216 @@
+"""Compiled H3 Turbo residuals, paired SwiGLU and dense INT8 attention.
+
+The adapter GEMMs and stock quantizers are retained. Every fused epilogue
+materializes the same BF16 rounding boundaries as the pinned runtime.
+"""
+import ctypes
+import sys
+import threading
+
+import torch
+
+max_tokens = 32768
+_launch = None
+_unit_launch = None
+_attention = None
+_pack = None
+_lut = None
+_state = threading.local()
+calls = {"residual": 0, "swiglu": 0, "attention": 0}
+
+
+@torch.library.custom_op("paiton_video::h3_projection_residual", mutates_args=())
+def compiled_residual(a: torch.Tensor, w: torch.Tensor, sa: torch.Tensor,
+ sw: torch.Tensor, residual: torch.Tensor,
+ lut: torch.Tensor, swiglu: bool, residual_scale: float = 0.0625) -> torch.Tensor:
+ from .projection import PROFILES
+ if _launch is None:
+ raise RuntimeError("Load an H3 fusion artifact before inference")
+ if a.ndim != 2 or w.ndim != 2:
+ raise ValueError("Expected A[M,K] and W[N,K]")
+ m, k = a.shape
+ n = w.shape[0]
+ if not 1 <= m <= max_tokens or w.shape[1] != k or (n, k) not in PROFILES:
+ raise ValueError("Unsupported H3 projection shape")
+ if swiglu and (n, k) != (28672, 5376):
+ raise ValueError("Paired SwiGLU requires the main H3 FC1 projection")
+ if sa.shape != (m,) or sw.shape != (n,) or residual.shape != (m, n) or lut.shape != (65536,):
+ raise ValueError("Invalid scale, residual or SiLU table shape")
+ for t, dtype in ((a, torch.int8), (w, torch.int8), (sa, torch.float32),
+ (sw, torch.float32), (residual, torch.bfloat16), (lut, torch.bfloat16)):
+ if t.dtype != dtype or not t.is_cuda or not t.is_contiguous() or t.device != a.device or t.data_ptr() % 16:
+ raise ValueError("Fusion operands must be aligned, contiguous and on one GPU")
+ if residual_scale not in (0.0625, 1.0) or (residual_scale == 1.0 and _unit_launch is None):
+ raise ValueError("Unsupported compiled H3 residual scale")
+ launch = _unit_launch if residual_scale == 1.0 else _launch
+ size = n*k + (((m+127)//128)*128*k if n > 5376 else 0)
+ workspace = torch.empty(size, device=a.device, dtype=torch.uint8)
+ out = torch.empty((m, n//2 if swiglu else n), device=a.device, dtype=torch.bfloat16)
+ status = launch(*(t.data_ptr() for t in (a, w, sa, sw, residual, lut, out, workspace)),
+ size, m, n, k, int(swiglu), torch.cuda.current_stream(a.device).cuda_stream)
+ if status:
+ raise RuntimeError(f"H3 fused projection failed with HIP status {status}")
+ return out
+
+
+@compiled_residual.register_fake
+def _fake(a, w, sa, sw, residual, lut, swiglu, residual_scale=0.0625):
+ return torch.empty((a.shape[0], w.shape[0]//2 if swiglu else w.shape[0]),
+ device=a.device, dtype=torch.bfloat16)
+
+
+def attend(q, k, v, qs, ks, vs):
+ """Consume the unchanged stock quantizer's D128/B1/H56 buffers."""
+ if _attention is None:
+ raise RuntimeError("H3 attention artifact is not initialized")
+ if q.ndim != 4 or q.shape[:2] != (1, 56) or q.shape[-1] != 128 or q.shape != k.shape:
+ raise ValueError("H3 attention requires B1/H56/D128 self-attention")
+ t, heads = q.shape[2], q.shape[1]
+ qp, kp = qs.shape[-1], v.shape[-1]
+ if not 1 <= t <= max_tokens or v.shape != (heads*128, kp) or qp < t or qp % 128 or kp < t or kp % 64:
+ raise ValueError("Invalid H3 attention padding")
+ if qs.shape != (1, heads, qp) or ks.shape != (1, heads, kp//16) or vs.shape != (heads*128,):
+ raise ValueError("Invalid H3 attention scale shapes")
+ for value, dtype in ((q, torch.int8), (k, torch.int8), (v, torch.int8),
+ (qs, torch.float32), (ks, torch.float32), (vs, torch.float32)):
+ if value.dtype != dtype or not value.is_cuda or value.device != q.device or not value.is_contiguous():
+ raise ValueError("Attention operands must be contiguous and on one GPU")
+ pk = torch.empty((heads, kp, 128), device=q.device, dtype=torch.int8)
+ pv = torch.empty_like(pk)
+ out = torch.empty(q.shape, device=q.device, dtype=torch.bfloat16)
+ stream = torch.cuda.current_stream(q.device).cuda_stream
+ for status in (_pack(k.data_ptr(), pk.data_ptr(), t, 128, kp, heads, stream),
+ _pack(v.data_ptr(), pv.data_ptr(), 128, kp, 128, heads, stream)):
+ if status:
+ raise RuntimeError(f"H3 attention packing failed with HIP status {status}")
+ status = _attention(*(x.data_ptr() for x in (q, pk, pv, out, qs, ks, vs)), t, heads, qp, kp, stream)
+ if status:
+ raise RuntimeError(f"H3 attention failed with HIP status {status}")
+ calls["attention"] += 1
+ return out
+
+
+def initialize(p):
+ global _launch, _unit_launch, _attention, _pack, _lut, max_tokens
+ max_tokens = p.max_tokens
+ version = p._library.PaitonH3FusionGetAbiVersion
+ version.restype = ctypes.c_uint
+ if version() != 1:
+ raise RuntimeError("Unsupported H3 fusion ABI")
+ _launch = p._library.PaitonH3ProjectionResidualRun
+ _launch.argtypes = [ctypes.c_void_p]*8 + [ctypes.c_size_t] + [ctypes.c_int]*4 + [ctypes.c_void_p]
+ _launch.restype = ctypes.c_int
+ if hasattr(p._library, "PaitonH3ProjectionResidualUnitRun"):
+ _unit_launch = p._library.PaitonH3ProjectionResidualUnitRun
+ _unit_launch.argtypes = _launch.argtypes
+ _unit_launch.restype = ctypes.c_int
+ _attention = p._library.PaitonH3AttentionRun
+ _attention.argtypes = [ctypes.c_void_p]*7 + [ctypes.c_int]*4 + [ctypes.c_void_p]
+ _attention.restype = ctypes.c_int
+ _pack = p._library.PaitonH3AttentionPack
+ _pack.argtypes = [ctypes.c_void_p]*2 + [ctypes.c_int]*4 + [ctypes.c_void_p]
+ _pack.restype = ctypes.c_int
+ # BF16 has only 65,536 bit patterns. This table preserves stock SiLU's
+ # BF16 result instead of approximating its exponential in another kernel.
+ with torch.inference_mode():
+ bits = torch.arange(65536, device="cuda", dtype=torch.int32).to(torch.int16)
+ _lut = torch.nn.functional.silu(bits.view(torch.bfloat16))
+ if "comfy.ops" in sys.modules:
+ _install_comfy(p)
+
+
+def _install_comfy(p):
+ from comfy_kitchen.backends import hip
+ from comfy.ldm.minimax.model import MLP
+ from comfy.weight_adapter.lora import LoRAAdapter
+ import comfy.ops
+
+ original_projection = p.compiled_projection
+ original_w4 = hip.w4a8_int8_linear
+ original_mlp = MLP.forward
+ original_attention = hip.sage_int8_attend
+
+ def project(a, w, sa, sw):
+ residual = getattr(_state, "residual", None)
+ if residual is None:
+ return original_projection(a, w, sa, sw)
+ use_act = getattr(_state, "swiglu_request", False) and w.shape == (28672, 5376)
+ out = compiled_residual(a, w, sa, sw, residual.reshape(a.shape[0], w.shape[0]), _lut, use_act, _state.residual_scale)
+ _state.consumed = True
+ if use_act:
+ _state.swiglu_done = True
+ calls["swiglu" if use_act else "residual"] += 1
+ return out
+
+ def bypass(self, original_forward, x, *args, **kwargs):
+ values = self.weights
+ eligible = (getattr(p._local, "enabled", False) and type(self) is LoRAAdapter
+ and not getattr(self, "is_conv", False) and len(values) == 6
+ and all(t is None for t in values[3:]) and x.dtype == torch.bfloat16
+ and x.is_cuda and x.ndim >= 2 and x.shape[-1] > 0 and x.is_contiguous()
+ and 1 <= x.numel()//x.shape[-1] <= max_tokens and values[0].ndim == values[1].ndim == 2
+ and (values[0].shape[0], values[1].shape[1]) in p.PROFILES)
+ scale = ((values[2]/values[1].shape[0] if values[2] is not None else 1.0)
+ * getattr(self, "multiplier", 1.0)) if eligible else None
+ if not isinstance(scale, (float, int)) or scale not in (0.0625, 1.0) or (scale == 1.0 and _unit_launch is None):
+ base = original_forward(x, *args, **kwargs)
+ return self.g(base + self.h(x, base))
+ up, down = (v.to(dtype=x.dtype) for v in values[:2])
+ delta = torch.nn.functional.linear(torch.nn.functional.linear(x, down), up)
+ previous, consumed = getattr(_state, "residual", None), getattr(_state, "consumed", False)
+ previous_scale = getattr(_state, "residual_scale", 0.0625)
+ _state.residual, _state.consumed, _state.residual_scale = delta, False, scale
+ try:
+ out = original_forward(x, *args, **kwargs)
+ if not _state.consumed:
+ out = out + delta*scale
+ finally:
+ _state.residual, _state.consumed, _state.residual_scale = previous, consumed, previous_scale
+ return self.g(out)
+
+ def w4(x, qdata, s_rel, s_channel, codebook=None, correction=None, bias=None,
+ group_size=16, convrot_groupsize=256, out_dtype=torch.bfloat16):
+ active = (getattr(_state, "swiglu_request", False) and getattr(_state, "residual", None) is not None
+ and qdata.shape == (28672, 2688) and correction is None and bias is None
+ and group_size == 16 and convrot_groupsize == 256 and x.dtype == torch.bfloat16
+ and out_dtype == torch.bfloat16)
+ if not active:
+ return original_w4(x, qdata, s_rel, s_channel, codebook, correction, bias,
+ group_size, convrot_groupsize, out_dtype)
+ hip.validate_w4a8_operands(qdata, s_rel, s_channel, codebook, correction, group_size, convrot_groupsize)
+ m = x.numel()//x.shape[-1]
+ a, sa = hip._rotate_quant_int8(x.reshape(m, x.shape[-1]).contiguous(), 256)
+ weight = hip._dequant_int4_grouped_to_int8(qdata, s_rel, codebook, group_size)
+ sw = s_channel.to(device=x.device, dtype=torch.float32).reshape(-1).contiguous()
+ out = project(a, weight, sa.reshape(-1).contiguous(), sw)
+ p.calls += 1
+ return out.reshape(*x.shape[:-1], 14336)
+
+ def mlp(self, x):
+ if not getattr(p._local, "enabled", False) or self.fc1.out_features != 28672:
+ return original_mlp(self, x)
+ previous, done = getattr(_state, "swiglu_request", False), getattr(_state, "swiglu_done", False)
+ _state.swiglu_request, _state.swiglu_done = True, False
+ try:
+ h = self.fc1(x)
+ consumed = _state.swiglu_done
+ finally:
+ _state.swiglu_request, _state.swiglu_done = previous, done
+ return self.fc2(h) if consumed else comfy.ops.linear_input_act(self.fc2, h, "swiglu")
+
+ def attention(q, k, v, qs, ks, vs, *, attention_scale, attn_mask, output_dtype, cta_k=64):
+ active = (getattr(p._local, "enabled", False) and q.ndim == 4 and q.shape[:2] == (1, 56)
+ and q.shape[-1] == 128 and q.shape == k.shape and 1024 <= q.shape[2] <= max_tokens
+ and attention_scale == 128**-.5 and attn_mask is None
+ and output_dtype == torch.bfloat16 and cta_k == 64
+ and all(t.is_cuda and t.is_contiguous() and t.device == q.device for t in (q,k,v,qs,ks,vs)))
+ if active:
+ return attend(q, k, v, qs, ks, vs)
+ return original_attention(q, k, v, qs, ks, vs, attention_scale=attention_scale,
+ attn_mask=attn_mask, output_dtype=output_dtype, cta_k=cta_k)
+
+ p.compiled_projection = project
+ LoRAAdapter.bypass_forward = bypass
+ hip.w4a8_int8_linear = w4
+ MLP.forward = mlp
+ hip.sage_int8_attend = attention
diff --git a/paiton_video/inspect_clip.py b/paiton_video/inspect_clip.py
new file mode 100644
index 0000000000000000000000000000000000000000..38eed735d30c6c775aeca87547da8a5728dfc171
--- /dev/null
+++ b/paiton_video/inspect_clip.py
@@ -0,0 +1,60 @@
+"""Retain decoded-file metadata, contact sheets and simple corruption checks."""
+import argparse
+import hashlib
+import json
+from pathlib import Path
+import subprocess
+import shutil
+import av
+import imageio_ffmpeg
+import numpy as np
+from PIL import Image, ImageDraw
+
+p=argparse.ArgumentParser()
+p.add_argument('clip',type=Path)
+p.add_argument('--output',type=Path,required=True)
+a=p.parse_args();a.output.mkdir(parents=True,exist_ok=True)
+if shutil.which('ffprobe'):
+ meta=json.loads(subprocess.check_output(['ffprobe','-v','error','-count_frames','-show_streams','-show_format','-of','json',str(a.clip)]))
+else:
+ with av.open(str(a.clip)) as c:
+ meta={'tool':'PyAV','version':av.__version__,'duration_seconds':c.duration/av.time_base,'format':c.format.name,'streams':[]}
+ for s in c.streams:
+ item={'type':s.type,'codec':s.codec_context.name,'frames':s.frames,'time_base':str(s.time_base),'duration_seconds':float(s.duration*s.time_base) if s.duration is not None else None}
+ if s.type=='video':item.update(width=s.width,height=s.height,average_rate=str(s.average_rate),pixel_format=s.codec_context.format.name)
+ elif s.type=='audio':item.update(sample_rate=s.codec_context.sample_rate,channels=s.codec_context.channels)
+ meta['streams'].append(item)
+(a.output/'media-metadata.json').write_text(json.dumps(meta,indent=2)+'\n')
+frame_stats=[];seen={};duplicate=[];previous=None;thumbs=[];times=[]
+with av.open(str(a.clip)) as container:
+ for index,frame in enumerate(container.decode(video=0)):
+ arr=frame.to_ndarray(format='rgb24');digest=hashlib.sha256(arr).hexdigest()
+ if digest in seen:duplicate.append([seen[digest],index])
+ seen[digest]=index
+ small=np.asarray(Image.fromarray(arr).resize((216,120)))
+ stat={'index':index,'time':float(frame.time),'mean':float(arr.mean()),'std':float(arr.std()),'sha256':digest}
+ if previous is not None:stat['adjacent_mean_abs_difference']=float(np.abs(small.astype(np.float32)-previous).mean())
+ previous=small.astype(np.float32)
+ frame_stats.append(stat)
+ if index%5==0:
+ thumbs.append(Image.fromarray(small));times.append(frame.time)
+ if index in (0,24,48,72,96,123):Image.fromarray(arr).save(a.output/f'frame-{index:03}.png')
+rows=(len(thumbs)+4)//5
+sheet=Image.new('RGB',(5*224,rows*146),(23,25,29));draw=ImageDraw.Draw(sheet)
+for index,(thumb,stamp) in enumerate(zip(thumbs,times)):
+ x=(index%5)*224+4;y=(index//5)*146+4
+ sheet.paste(thumb,(x,y));draw.text((x,y+123),f'{stamp:.2f} s',fill='white')
+sheet.save(a.output/'contact-sheet.jpg',quality=92)
+wave=[];rates=[]
+with av.open(str(a.clip)) as container:
+ if container.streams.audio:
+ for frame in container.decode(audio=0):wave.append(frame.to_ndarray());rates.append(frame.sample_rate)
+audio=np.concatenate(wave,axis=-1) if wave else np.zeros((0,0),dtype=np.float32)
+metrics={'video_frames':len(frame_stats),'duplicate_frame_pairs':duplicate,'audio_shape':list(audio.shape),'audio_sample_rates':sorted(set(rates)),
+ 'audio_finite':bool(np.isfinite(audio).all()),'audio_peak':float(np.abs(audio).max()) if audio.size else None,
+ 'audio_rms':float(np.sqrt(np.mean(audio.astype(np.float64)**2))) if audio.size else None,
+ 'audio_fraction_at_or_above_one':float((np.abs(audio)>=1).mean()) if audio.size else None,
+ 'frames':frame_stats}
+(a.output/'quality-metrics.json').write_text(json.dumps(metrics,indent=2)+'\n')
+if wave:subprocess.run([imageio_ffmpeg.get_ffmpeg_exe(),'-nostdin','-v','error','-y','-i',str(a.clip),'-vn','-c:a','pcm_s16le',str(a.output/'audio.wav')],check=True)
+print(json.dumps({k:v for k,v in metrics.items() if k!='frames'},indent=2))
diff --git a/paiton_video/projection.py b/paiton_video/projection.py
new file mode 100644
index 0000000000000000000000000000000000000000..ace874e6b69ce0239f229602299741129fa00361
--- /dev/null
+++ b/paiton_video/projection.py
@@ -0,0 +1,147 @@
+"""H3 projection artifact binding; preserve stock ConvRot quantization."""
+from contextlib import contextmanager
+import ctypes
+import hashlib
+import json
+import os
+from pathlib import Path
+import threading
+
+import torch
+
+PROFILES = {(21504,5376), (28672,5376), (5376,7168), (5376,14336)}
+max_tokens = 32768
+_library = None
+_launch = None
+_packed_launch = None
+_local = threading.local()
+_original = None
+calls = 0
+
+
+@torch.library.custom_op("paiton_video::h3_projection", mutates_args=())
+def compiled_projection(a: torch.Tensor, w: torch.Tensor, sa: torch.Tensor, sw: torch.Tensor) -> torch.Tensor:
+ if _launch is None:
+ raise RuntimeError("Load the H3 projection artifact before inference")
+ if a.ndim != 2 or w.ndim != 2:
+ raise ValueError("Expected A[M,K] and W[N,K]")
+ m,k=a.shape
+ n,wk=w.shape
+ if not 1 <= m <= max_tokens or wk != k or (n,k) not in PROFILES:
+ raise ValueError("Unsupported H3 projection shape")
+ for t,dtype in ((a,torch.int8),(w,torch.int8),(sa,torch.float32),(sw,torch.float32)):
+ if t.dtype != dtype or not t.is_cuda or not t.is_contiguous() or t.device != a.device or t.data_ptr() % 16:
+ raise ValueError("H3 projections require aligned contiguous tensors on one GPU")
+ if sa.shape != (m,) or sw.shape != (n,):
+ raise ValueError("Expected one FP32 scale per input/output row")
+ out=torch.empty((m,n),device=a.device,dtype=torch.bfloat16)
+ stream=torch.cuda.current_stream(a.device).cuda_stream
+ if _packed_launch is not None and m >= 128:
+ workspace_bytes=n*k+(((m+127)//128)*128*k if n > 5376 else 0)
+ workspace=torch.empty(workspace_bytes,device=a.device,dtype=torch.uint8)
+ status=_packed_launch(*(t.data_ptr() for t in (a,w,sa,sw,out)),
+ workspace.data_ptr(),workspace_bytes,m,n,k,stream)
+ else:
+ status=_launch(*(t.data_ptr() for t in (a,w,sa,sw,out)),m,n,k,stream)
+ if status:
+ raise RuntimeError(f"H3 projection failed with HIP status {status}")
+ return out
+
+
+@compiled_projection.register_fake
+def _fake(a,w,sa,sw):
+ return torch.empty((a.shape[0],w.shape[0]),device=a.device,dtype=torch.bfloat16)
+
+
+def install_projections(artifact, packed=True):
+ global _library,_launch,_packed_launch,_original,max_tokens
+ if _launch is not None:
+ raise RuntimeError("H3 projections are already installed")
+ if torch.cuda.get_device_properties(0).gcnArchName.split(":")[0] != "gfx1201":
+ raise RuntimeError("This H3 artifact requires gfx1201")
+ artifact=Path(artifact).resolve()
+ manifest=json.loads(artifact.with_suffix(".manifest.json").read_text())
+ if manifest.get("h3_projection_abi_version") != 1:
+ raise RuntimeError("H3 projection ABI v1 is required")
+ if manifest.get("target",{}).get("arch") != "gfx1201":
+ raise RuntimeError("Artifact target must be gfx1201")
+ with artifact.open("rb") as binary:
+ digest=hashlib.file_digest(binary,"sha256").hexdigest()
+ if digest != manifest.get("artifact",{}).get("sha256"):
+ raise RuntimeError("H3 projection artifact SHA-256 mismatch")
+ mode=os.RTLD_NOW | os.RTLD_LOCAL | getattr(os,"RTLD_DEEPBIND",0)
+ _library=ctypes.CDLL(str(artifact),mode=mode)
+ version=_library.PaitonH3ProjectionGetAbiVersion
+ version.restype=ctypes.c_uint
+ if version() != 1:
+ raise RuntimeError("H3 projection binary ABI mismatch")
+ _launch=_library.PaitonH3ProjectionRun
+ _launch.argtypes=[ctypes.c_void_p]*5+[ctypes.c_int]*3+[ctypes.c_void_p]
+ _launch.restype=ctypes.c_int
+ if packed and hasattr(_library,"PaitonH3PackedProjectionRun"):
+ _packed_launch=_library.PaitonH3PackedProjectionRun
+ _packed_launch.argtypes=[ctypes.c_void_p]*6+[ctypes.c_size_t]+[ctypes.c_int]*3+[ctypes.c_void_p]
+ _packed_launch.restype=ctypes.c_int
+ if _packed_launch is not None and hasattr(_library, "PaitonH3GetMaxTokens"):
+ limit = _library.PaitonH3GetMaxTokens
+ limit.restype = ctypes.c_uint
+ max_tokens = limit()
+ if max_tokens != manifest.get("h3_max_tokens") or not 32768 <= max_tokens <= 49152:
+ raise RuntimeError("H3 artifact token limit mismatch")
+ from comfy_kitchen.backends import hip
+ _original=hip.int8_linear
+ def linear(x,weight,weight_scale,bias=None,out_dtype=torch.bfloat16,convrot=False,convrot_groupsize=256,input_act=None):
+ global calls
+ m=x.numel()//x.shape[-1]
+ eligible=(getattr(_local,"enabled",False) and convrot and convrot_groupsize==256
+ and out_dtype==torch.bfloat16 and x.dtype==torch.bfloat16 and bias is None
+ and weight.ndim==2 and tuple(weight.shape) in PROFILES and 1<=m<=max_tokens
+ and input_act in (None,"swiglu") and weight_scale.numel()==weight.shape[0])
+ if not eligible:
+ return _original(x,weight,weight_scale,bias,out_dtype,convrot,convrot_groupsize,input_act)
+ # The pinned HIP quantizer includes the same optional SwiGLU, rotation,
+ # reduction and rounding as stock. Only its following GEMM is replaced.
+ weight=hip._aligned(weight.to(device=x.device).contiguous())
+ sw=weight_scale.to(device=x.device,dtype=torch.float32).reshape(-1)
+ q,sa=hip._rotate_quant_int8(x.reshape(m,x.shape[-1]).contiguous(),convrot_groupsize,input_act)
+ result=compiled_projection(q,weight,sa.reshape(-1).contiguous(),sw)
+ calls+=1
+ return result.reshape(*x.shape[:-1],weight.shape[0])
+ hip.int8_linear=linear
+ original_w4a8=hip.w4a8_int8_linear
+ def w4a8_linear(x,qdata,s_rel,s_channel,codebook=None,correction=None,bias=None,group_size=16,convrot_groupsize=256,out_dtype=torch.bfloat16):
+ global calls
+ m=x.numel()//x.shape[-1]
+ shape=(qdata.shape[0],qdata.shape[1]*2) if qdata.ndim==2 else None
+ eligible=(getattr(_local,"enabled",False) and shape in PROFILES and 1<=m<=max_tokens
+ and x.dtype==torch.bfloat16 and out_dtype==torch.bfloat16
+ and correction is None and bias is None and group_size==16 and convrot_groupsize==256)
+ if not eligible:
+ return original_w4a8(x,qdata,s_rel,s_channel,codebook,correction,bias,group_size,convrot_groupsize,out_dtype)
+ hip.validate_w4a8_operands(qdata,s_rel,s_channel,codebook,correction,group_size,convrot_groupsize)
+ if x.shape[-1] != shape[1]:
+ raise ValueError("W4A8 input and weight dimensions differ")
+ # Same stock codebook/FP8-scale decode to the same INT8 grid. The
+ # workspace lasts one projection; no permanent INT8 weight expansion.
+ q,sa=hip._rotate_quant_int8(x.reshape(m,shape[1]).contiguous(),convrot_groupsize)
+ weight=hip._dequant_int4_grouped_to_int8(qdata,s_rel,codebook,group_size)
+ sw=s_channel.to(device=x.device,dtype=torch.float32).reshape(-1).contiguous()
+ result=compiled_projection(q,weight,sa.reshape(-1).contiguous(),sw)
+ calls+=1
+ return result.reshape(*x.shape[:-1],shape[0])
+ hip.w4a8_int8_linear=w4a8_linear
+ if hasattr(_library,"PaitonH3FusionGetAbiVersion"):
+ from . import fusions
+ import sys
+ fusions.initialize(sys.modules[__name__])
+
+
+@contextmanager
+def projection_scope():
+ """Enable only around this thread's H3 denoiser; all other calls use stock."""
+ previous=getattr(_local,"enabled",False)
+ _local.enabled=True
+ try:
+ yield
+ finally:
+ _local.enabled=previous
diff --git a/paiton_video/qualification.py b/paiton_video/qualification.py
new file mode 100644
index 0000000000000000000000000000000000000000..b4596f5497b2fa42e13cfc8a9e26a523d4dd81dc
--- /dev/null
+++ b/paiton_video/qualification.py
@@ -0,0 +1,244 @@
+"""Run the stock Comfy H3 nodes directly, with phase and device telemetry.
+
+No cached conditioning is reused between runs. Model loading is reported
+separately, and component movement during subsequent runs stays in the clock.
+"""
+import argparse
+import gc
+import json
+import os
+from pathlib import Path
+import resource
+import sys
+import threading
+import time
+
+ROOT = Path(os.environ.get("PAITON_H3_DATA", "/data")).resolve()
+COMFY_ROOT = Path(os.environ.get("PAITON_COMFY_ROOT", "/opt/comfyui")).resolve()
+p = argparse.ArgumentParser()
+p.add_argument('--output', type=Path, required=True)
+p.add_argument('--cases',type=Path)
+p.add_argument('--prompt', default='A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech.')
+p.add_argument('--seed', type=int, default=771)
+p.add_argument('--runs', type=int, default=1)
+p.add_argument('--width', type=int, default=864)
+p.add_argument('--height', type=int, default=480)
+p.add_argument('--frames', type=int, default=124)
+p.add_argument('--steps', type=int, default=20)
+p.add_argument('--setup-only', action='store_true')
+p.add_argument('--encoder-only', action='store_true')
+p.add_argument('--disable-dynamic-vram', action='store_true')
+p.add_argument('--tiled-vae', action='store_true')
+p.add_argument('--enable-triton-backend', action='store_true')
+p.add_argument('--attention',choices=['sdpa','ck'],default='sdpa')
+p.add_argument('--fast-disk',action='store_true')
+p.add_argument('--profile-step',type=int,default=-1)
+p.add_argument('--smart-memory',action='store_true')
+p.add_argument('--denoiser',default='minimax_h3_fl2va_pruned_int8_convrot.safetensors')
+p.add_argument('--video-vae',default='minimax_h3_video_vae_fp16.safetensors')
+p.add_argument('--lora')
+p.add_argument('--lora-mode',choices=['bypass','merge'],default='bypass')
+p.add_argument('--sampler',default='res_multistep')
+p.add_argument('--shift-video',type=float)
+p.add_argument('--shift-audio',type=float,default=3.0)
+p.add_argument('--paiton-runtime',type=Path)
+p.add_argument('--paiton-projections',type=Path)
+cfg = p.parse_args()
+cfg.output.mkdir(parents=True, exist_ok=True)
+(cfg.output/'command.json').write_text(json.dumps({'argv':sys.argv,'settings':{k:str(v) if isinstance(v,Path) else v for k,v in vars(cfg).items()}},indent=2))
+os.environ.setdefault('TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL', '1')
+os.environ.setdefault('MIOPEN_FIND_MODE', 'FAST')
+os.environ.setdefault('HF_HUB_DISABLE_TELEMETRY', '1')
+sys.path.insert(0, str(COMFY_ROOT))
+sys.argv = ['main.py', '--base-directory', str(ROOT), '--disable-all-custom-nodes', '--disable-api-nodes', '--use-pytorch-cross-attention' if cfg.attention=='sdpa' else '--use-ck-attention', '--bf16-vae', '--reserve-vram', '2', '--disable-smart-memory', '--cache-none', '--preview-method', 'none']
+if cfg.disable_dynamic_vram:
+ sys.argv.append('--disable-dynamic-vram')
+if cfg.enable_triton_backend:
+ sys.argv.append('--enable-triton-backend')
+if cfg.fast_disk:
+ sys.argv.append('--fast-disk')
+if cfg.smart_memory:
+ sys.argv.remove('--disable-smart-memory')
+startup = time.perf_counter()
+import main as comfy_main
+import torch
+import nodes
+import comfy.model_management as mm
+import comfy.memory_management as memory
+from comfy_extras import nodes_minimax_h3 as h3
+from comfy_extras import nodes_custom_sampler as sampler_nodes
+from comfy_extras import nodes_video, nodes_audio
+from comfy_api.latest import Types
+if cfg.paiton_projections:
+ if cfg.paiton_runtime is None:
+ raise ValueError('--paiton-runtime is required with an artifact')
+ sys.path.insert(0,str(cfg.paiton_runtime))
+ from paiton_video import projection as paiton_projection
+ paiton_projection.install_projections(cfg.paiton_projections)
+
+events_file = (cfg.output/'events.jsonl').open('a',buffering=1)
+telemetry_file = (cfg.output/'telemetry.jsonl').open('a',buffering=1)
+state = {'phase':'setup', 'run':-1}
+stop = threading.Event()
+
+def system_snapshot():
+ status = {}
+ for line in Path('/proc/self/status').read_text().splitlines():
+ if line.split(':')[0] in ('VmRSS','VmHWM','RssAnon','RssFile','VmSwap','VmLck'):
+ key,value=line.split(':',1); status[key+'_bytes']=int(value.split()[0])*1024
+ for line in Path('/proc/self/io').read_text().splitlines():
+ key,value=line.split(':',1)
+ if key in ('read_bytes','write_bytes'):status[key]=int(value)
+ for line in Path('/proc/meminfo').read_text().splitlines():
+ key,value=line.split(':',1)
+ if key in ('MemAvailable','SwapFree'):status[key+'_bytes']=int(value.split()[0])*1024
+ dev=next((card/'device' for card in Path('/sys/class/drm').glob('card[0-9]*') if (card/'device/mem_info_vram_total').exists() and int((card/'device/mem_info_vram_total').read_text()) >= 30*1024**3), Path('/sys/class/drm/card0/device'))
+ for name in ('mem_info_vram_used','gpu_busy_percent','mem_busy_percent','power_dpm_force_performance_level','pp_dpm_sclk','pp_dpm_mclk'):
+ try:status[name]=(dev/name).read_text().strip()
+ except OSError:pass
+ for hw in (dev/'hwmon').glob('hwmon*'):
+ for name in ('temp1_input','temp2_input','temp3_input','power1_average','freq1_input','freq2_input'):
+ try:status[name]=int((hw/name).read_text())
+ except OSError:pass
+ return status
+
+def emit(event, **kwargs):
+ row={'event':event,'time':time.time(),'monotonic':time.perf_counter(),**state,**kwargs}
+ events_file.write(json.dumps(row)+'\n')
+ print(json.dumps(row),flush=True)
+
+def monitor():
+ low_memory_samples=0
+ while not stop.is_set():
+ snapshot=system_snapshot()
+ telemetry_file.write(json.dumps({'time':time.time(),**state,**snapshot})+'\n')
+ low_memory_samples = low_memory_samples+1 if snapshot['MemAvailable_bytes']<400*1024**2 and snapshot['SwapFree_bytes']<512*1024**2 else 0
+ if low_memory_samples>=4:
+ # Stop only this qualification process before exhausting the host.
+ os.kill(os.getpid(),2)
+ return
+ stop.wait(0.5)
+
+monitor_thread=threading.Thread(target=monitor,daemon=True)
+monitor_thread.start()
+
+def phase(name, fn):
+ state['phase']=name
+ torch.cuda.synchronize()
+ start=time.perf_counter()
+ before=system_snapshot()
+ torch.cuda.reset_peak_memory_stats()
+ emit('phase_start')
+ value=fn()
+ torch.cuda.synchronize()
+ after=system_snapshot()
+ emit('phase_end',seconds=time.perf_counter()-start,
+ gpu_allocated=torch.cuda.memory_allocated(),gpu_reserved=torch.cuda.memory_reserved(),
+ gpu_peak_allocated=torch.cuda.max_memory_allocated(),gpu_peak_reserved=torch.cuda.max_memory_reserved(),
+ aimdo_vram=comfy_main.comfy_aimdo.control.get_total_vram_usage() if memory.aimdo_enabled else None,
+ read_bytes=after['read_bytes']-before['read_bytes'],host=after)
+ return value
+
+try:
+ emit('setup_complete',seconds=time.perf_counter()-startup,torch=torch.__version__,hip=torch.version.hip,dynamic_vram=memory.aimdo_enabled)
+ if cfg.setup_only:
+ sys.exit(0)
+ with torch.inference_mode():
+ clip=phase('load_encoder',lambda:nodes.CLIPLoader().load_clip('qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors','minimax','default')[0])
+ video_vae=None
+ if not cfg.encoder_only:
+ def load_video_vae():
+ sd,metadata=comfy_main.comfy.utils.load_torch_file(str(ROOT/'models/vae'/cfg.video_vae),return_metadata=True)
+ return comfy_main.comfy.sd.VAE(sd=sd,metadata=metadata,dtype=torch.bfloat16)
+ video_vae=phase('load_video_vae',load_video_vae)
+ # Comfy's global --bf16-vae flag overrides even the audio VAE's
+ # FP32-only dtype list. Use the stock VAE constructor's explicit
+ # dtype argument to retain the required audio precision.
+ audio_vae=phase('load_audio_vae',lambda:comfy_main.comfy.sd.VAE(
+ sd=comfy_main.comfy.utils.load_torch_file(str(ROOT/'models/vae/minimax_h3_audio_vae_fp32.safetensors')),
+ dtype=torch.float32))
+ model=phase('load_denoiser',lambda:nodes.UNETLoader().load_unet(cfg.denoiser,'default')[0])
+ if cfg.lora:
+ from comfy_extras.nodes_lora_debug import LoraLoaderBypassModelOnly
+ lora_loader=LoraLoaderBypassModelOnly if cfg.lora_mode=='bypass' else nodes.LoraLoaderModelOnly
+ model=phase('load_lora',lambda:lora_loader().load_lora_model_only(model,cfg.lora,1.0)[0])
+ if cfg.shift_video is not None:
+ model=h3.MiniMaxH3SigmaShift.execute(model,cfg.shift_video,cfg.shift_audio)[0]
+ # The pinned official template uses res_multistep + simple, 20 steps.
+ sampler=sampler_nodes.KSamplerSelect.execute(cfg.sampler)[0]
+ sigmas=sampler_nodes.BasicScheduler.execute(model,'simple',cfg.steps,1.0)[0]
+ emit('schedule',video_sigmas=sigmas.tolist(),sampler=cfg.sampler,steps=cfg.steps,
+ model_sampling_class=type(model.get_model_object('model_sampling')).__name__)
+ original_forward=model.model.diffusion_model.forward
+ evals=[]
+ def observe_forward(*args,**kwargs):
+ profile=None
+ if state['run']==0 and len(evals)==cfg.profile_step:
+ profile=torch.profiler.profile(activities=[torch.profiler.ProfilerActivity.CPU,torch.profiler.ProfilerActivity.CUDA],record_shapes=True)
+ profile.__enter__()
+ start=torch.cuda.Event(enable_timing=True)
+ end=torch.cuda.Event(enable_timing=True)
+ start.record()
+ if cfg.paiton_projections:
+ with paiton_projection.projection_scope():
+ value=original_forward(*args,**kwargs)
+ else:
+ value=original_forward(*args,**kwargs)
+ end.record()
+ evals.append((start,end))
+ if profile is not None:
+ profile.__exit__(None,None,None)
+ profile.export_chrome_trace(str(cfg.output/'denoiser-trace.json'))
+ (cfg.output/'denoiser-profile.txt').write_text(profile.key_averages(group_by_input_shape=True).table(sort_by='self_device_time_total',row_limit=70))
+ return value
+ model.model.diffusion_model.forward=observe_forward
+ cases=json.loads(cfg.cases.read_text()) if cfg.cases else None
+ for run in range(cfg.runs):
+ if cases:
+ case=cases[run % len(cases)]
+ cfg.prompt=case['prompt'];cfg.seed=case['seed']
+ state['case']=case['id']
+ state['run']=run
+ emit('prompt_start',prompt=cfg.prompt,seed=cfg.seed)
+ start=time.perf_counter()
+ cond,latent=phase('conditioning',lambda:h3.MiniMaxH3ImageToVideo.execute(clip,video_vae,cfg.prompt,cfg.width,cfg.height,cfg.frames))
+ emit('conditioning_shape',shape=list(cond[0][0].shape),finite=bool(torch.isfinite(cond[0][0]).all()))
+ if cfg.encoder_only:
+ torch.save({'conditioning':cond,'prompt':cfg.prompt},cfg.output/f'conditioning-{run}.pt')
+ continue
+ evals.clear()
+ guider=sampler_nodes.BasicGuider.execute(model,cond)[0]
+ noise=sampler_nodes.RandomNoise.execute(cfg.seed)[0]
+ samples=phase('sampling',lambda:sampler_nodes.SamplerCustomAdvanced.execute(noise,guider,sampler,sigmas,latent)[0])
+ emit('denoiser_evaluations',count=len(evals),gpu_ms=[a.elapsed_time(b) for a,b in evals])
+ if cfg.paiton_projections:
+ emit('paiton_projection_calls',count=paiton_projection.calls)
+ from paiton_video import fusions
+ emit('paiton_fusion_calls',counts=dict(fusions.calls))
+ if cfg.tiled_vae:
+ images=phase('video_decode',lambda:nodes.VAEDecodeTiled().decode(video_vae,samples,512,64,64,8)[0])
+ else:
+ images=phase('video_decode',lambda:nodes.VAEDecode().decode(video_vae,samples)[0])
+ audio=phase('audio_decode',lambda:nodes_audio.VAEDecodeAudio.execute(audio_vae,samples)[0])
+ before_encoding=time.perf_counter()-start
+ video=nodes_video.CreateVideo.execute(images,24,audio,8)[0]
+ path=cfg.output/f'clip-{run}.mp4'
+ phase('encode_mux',lambda:video.save_to(str(path),format=Types.VideoContainer('mp4'),codec=Types.VideoCodec('h264'),metadata={'prompt':cfg.prompt,'seed':cfg.seed,'denoiser':cfg.denoiser,'video_vae':cfg.video_vae,'lora':cfg.lora,'lora_mode':cfg.lora_mode,'sampler':cfg.sampler,'steps':cfg.steps,'shift_video':cfg.shift_video or 12,'shift_audio':cfg.shift_audio,'checkpoint_lock':json.loads((Path(__file__).resolve().parents[1]/'checkpoints.lock.json').read_text())}))
+ seconds=time.perf_counter()-start
+ emit('clip_complete',prompt=cfg.prompt,seed=cfg.seed,seconds=seconds,pipeline_before_encoding_seconds=before_encoding,
+ actual_frames=images.shape[0],width=images.shape[2],height=images.shape[1],fps=24,
+ audio_shape=list(audio['waveform'].shape),audio_sample_rate=audio['sample_rate'],
+ audio_finite=bool(torch.isfinite(audio['waveform']).all()),audio_abs_peak=float(audio['waveform'].abs().max()),
+ image_finite=bool(torch.isfinite(images).all()),path=str(path),
+ clips_per_hour=3600/seconds,video_seconds_per_wall_second=images.shape[0]/24/seconds)
+ torch.save({'video':samples['samples'].tensors[0].cpu(),'audio':samples['samples'].tensors[1].cpu()},cfg.output/f'latents-{run}.pt')
+ del images,audio,video,samples,cond,latent,guider,noise
+ gc.collect()
+except BaseException as exc:
+ if not isinstance(exc,SystemExit):emit('failure',type=type(exc).__name__,message=str(exc))
+ raise
+finally:
+ stop.set()
+ monitor_thread.join(timeout=2)
+ telemetry_file.close()
+ events_file.close()
diff --git a/paiton_video/report_runs.py b/paiton_video/report_runs.py
new file mode 100644
index 0000000000000000000000000000000000000000..5daeb2b2f7c89a4ae10e979ff7d1841d6b45d81d
--- /dev/null
+++ b/paiton_video/report_runs.py
@@ -0,0 +1,26 @@
+"""Summarize raw full-pipeline measurements without excluding component movement."""
+import argparse,json,statistics
+from pathlib import Path
+p=argparse.ArgumentParser();p.add_argument('directory',type=Path);p.add_argument('--measured',type=int,nargs='+',default=[1,2]);a=p.parse_args()
+e=[json.loads(x) for x in (a.directory/'events.jsonl').read_text().splitlines()]
+t=[json.loads(x) for x in (a.directory/'telemetry.jsonl').read_text().splitlines()]
+result={'measured_run_indices':a.measured,'runs':[],'startup_events':[x for x in e if x['event']=='setup_complete' or (x['event']=='phase_end' and x['run']==-1)]}
+for c in [x for x in e if x['event']=='clip_complete']:
+ run=c['run'];samples=[x for x in t if x['run']==run];phases=[x for x in e if x['event']=='phase_end' and x['run']==run]
+ ev=next(x for x in e if x['event']=='denoiser_evaluations' and x['run']==run)
+ row={**c,'measured':run in a.measured,'component_seconds':{x['phase']:x['seconds'] for x in phases},'component_disk_read_bytes':{x['phase']:x['read_bytes'] for x in phases},'actual_denoiser_evaluations':ev['count'],'nfe_gpu_ms':ev['gpu_ms']}
+ row['sampled_peak']={k:max(int(x.get(k,0)) for x in samples) for k in ('VmRSS_bytes','RssAnon_bytes','VmSwap_bytes','mem_info_vram_used','temp1_input','temp2_input','temp3_input','power1_average')}
+ row['sampled_host_available_min_bytes']=min(x['MemAvailable_bytes'] for x in samples)
+ row['torch_peak_allocated_bytes']=max(x['gpu_peak_allocated'] for x in phases)
+ row['torch_peak_reserved_bytes']=max(x['gpu_peak_reserved'] for x in phases)
+ row['process_lifetime_high_water_mark_bytes']=max(x['host']['VmHWM_bytes'] for x in phases)
+ row['aimdo_phase_end_max_bytes']=max(x.get('aimdo_vram') or 0 for x in phases)
+ result['runs'].append(row)
+measured=[x for x in result['runs'] if x['measured']]
+if measured:
+ result['mean_seconds']=statistics.mean(x['seconds'] for x in measured)
+ result['mean_pipeline_before_encoding_seconds']=statistics.mean(x['pipeline_before_encoding_seconds'] for x in measured)
+ result['mean_clips_per_hour']=3600/result['mean_seconds']
+ result['mean_video_seconds_per_wall_second']=measured[0]['actual_frames']/measured[0]['fps']/result['mean_seconds']
+(a.directory/'summary.json').write_text(json.dumps(result,indent=2)+'\n')
+print(json.dumps({k:v for k,v in result.items() if k not in ('runs','startup_events')},indent=2))
diff --git a/prompts.json b/prompts.json
new file mode 100644
index 0000000000000000000000000000000000000000..979767c74c1f53428b0d643371a578c1928cd3d0
--- /dev/null
+++ b/prompts.json
@@ -0,0 +1,17 @@
+[
+ {
+ "id": "fox",
+ "seed": 771,
+ "prompt": "A small red fox trots through a sunlit woodland clearing, pauses beside a shallow stream, and looks toward the camera. Natural realistic fur, continuous gentle camera movement, coherent anatomy. Audio: birds chirping, leaves rustling and quiet flowing water; no music and no speech."
+ },
+ {
+ "id": "barista",
+ "seed": 772,
+ "prompt": "Realistic cinematic medium close-up in a quiet cafe. An adult woman barista in a dark apron gently sets a white cup of coffee on the wooden counter, looks at the customer beside the camera, smiles and says clearly, \"Here is your coffee.\" One continuous shot, natural facial motion, consistent hands and cup. Audio: her natural voice synchronized with her lips, a soft ceramic clink and quiet cafe ambience; no music."
+ },
+ {
+ "id": "pouring_water",
+ "seed": 773,
+ "prompt": "Realistic macro product film. A hand tilts a clear glass bottle and pours sparkling water into a clear drinking glass on a wooden table. A continuous visible stream of water, rising water level and tiny bubbles. Soft window light, a gentle camera push-in, one continuous shot with consistent glass geometry. Audio: close-up water pouring and fizzing, the bottle softly touching the table at the end; no speech or music."
+ }
+]
diff --git a/release.lock.json b/release.lock.json
new file mode 100644
index 0000000000000000000000000000000000000000..434d3431396c067795cc96b5b25fd162139c0531
--- /dev/null
+++ b/release.lock.json
@@ -0,0 +1,26 @@
+{
+ "version": "1.0.0",
+ "artifact_image": {
+ "tag": "ghcr.io/eliovp/paiton-vllm-plugin:minimax-h3-rdna4-v1.0.0",
+ "local_manifest_digest": "sha256:56c405453d21fd405ab0bb3f7eb0e0a2d6069ab672d617c319528e210ff2dd19",
+ "bytes": 5149902916
+ },
+ "artifact": {
+ "filename": "minimax_h3_projections_gfx1201.so",
+ "sha256": "8138dda01ce0fa5923b733e0242121e9f605a405aa85d5212e0160f5b28df657",
+ "size_bytes": 842528
+ },
+ "max_packed_tokens": 49152,
+ "qualified_images": {
+ "paiton-minimax-h3:fused-v4-review": "sha256:1108f4f0815d3bee725f9ee375899befc3fefcb03a0446a17621da93b725206f",
+ "paiton-minimax-h3:local-v1.0.0": "sha256:b130c15e177c6112240da09e7e77d7cea761b2d4e19e5f683f7ef6ac22f58362"
+ },
+ "final_local_image": "sha256:b28ba6d86dca60b64670407445f9a3cc60a23517d6142a7aeb1309db43408e39",
+ "inference_files_identical_to_qualification": true,
+ "compared_stock_files": 571,
+ "after_benchmark_change": "ComfyUI first-visit canvas centers the prompt; graph values and inference code unchanged. Container provenance metadata omitted.",
+ "gpu_tests": {
+ "count": 9,
+ "result": "passed"
+ }
+}
diff --git a/requirements.lock.txt b/requirements.lock.txt
new file mode 100644
index 0000000000000000000000000000000000000000..201543ab0556db2f3e7b4d48d4e7a75885e85d26
--- /dev/null
+++ b/requirements.lock.txt
@@ -0,0 +1,78 @@
+# ROCm Torch/Triton are supplied by the pinned base image.
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.3
+aiosignal==1.4.0
+alembic==1.19.2
+annotated-doc==0.0.4
+annotated-types==0.8.0
+anyio==4.12.1
+attrs==23.2.0
+av==18.1.0
+blake3==1.0.9
+certifi==2023.11.17
+charset-normalizer==3.4.5
+click==8.5.0
+comfy-aimdo==0.5.2
+comfy-angle==0.1.1
+comfy-kitchen==0.2.33
+comfyui-embedded-docs==0.5.11
+comfyui-frontend-package==1.51.10
+comfyui-workflow-templates==0.11.55
+comfyui-workflow-templates-core==0.3.333
+comfyui-workflow-templates-json==0.1.68
+comfyui-workflow-templates-media-api==0.3.84
+comfyui-workflow-templates-media-assets-01==0.1.39
+comfyui-workflow-templates-media-image==0.3.160
+comfyui-workflow-templates-media-other==0.3.229
+comfyui-workflow-templates-media-video==0.3.101
+einops==0.8.2
+filelock==3.20.3
+frozenlist==1.8.0
+fsspec==2026.2.0
+greenlet==3.5.5
+h11==0.16.0
+hf-xet==1.6.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==1.30.0
+idna==3.6
+imageio-ffmpeg==0.6.0
+kornia==0.8.3
+kornia-rs==0.1.14
+mako==1.4.1
+markdown-it-py==3.0.0
+markupsafe==2.1.5
+mdurl==0.1.2
+multidict==6.7.1
+numpy==2.4.2
+packaging==26.3
+pillow==12.1.0
+propcache==0.4.1
+psutil==7.2.2
+pydantic==2.13.5
+pydantic-core==2.46.5
+pydantic-settings==2.15.0
+pygments==2.17.2
+pyopengl==3.1.10
+python-dotenv==1.2.3
+pyyaml==6.0.1
+regex==2026.2.28
+requests==2.32.5
+rich==13.7.1
+safetensors==0.8.0
+scipy==1.18.1
+sentencepiece==0.2.2
+shellingham==1.5.4
+simpleeval==1.0.7
+spandrel==0.4.2
+sqlalchemy==2.0.52
+tokenizers==0.22.2
+torchsde==0.2.6
+tqdm==4.67.3
+trampoline==0.1.2
+transformers==5.15.1
+typer==0.24.1
+typing-extensions==4.15.0
+typing-inspection==0.4.4
+urllib3==2.0.7
+yarl==1.23.0
diff --git a/run.sh b/run.sh
new file mode 100644
index 0000000000000000000000000000000000000000..dec880a80ab9c7eaa37154ef634a884c351a3bab
--- /dev/null
+++ b/run.sh
@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+set -euo pipefail
+package_dir="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+source "$package_dir/image.sh"
+prepare_h3_image
+image="$PAITON_H3_IMAGE"
+data_dir="${PAITON_H3_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/paiton/minimax-h3}"
+outputs="${PAITON_H3_OUTPUTS:-$HOME/paiton-videos}"
+mkdir -p "$data_dir" "$outputs"
+data_dir="$(realpath "$data_dir")"
+outputs="$(realpath "$outputs")"
+[[ -e /dev/kfd ]] || { printf 'ROCm /dev/kfd is required.\n' >&2; exit 1; }
+exec docker run --rm --init --device /dev/kfd --device /dev/dri \
+ --group-add "$(stat -c '%g' /dev/kfd)" --user "$(id -u):$(id -g)" \
+ --shm-size 2g -v "$data_dir:/data" -v "$outputs:/outputs" "$image" "$@"