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Release MiniMax H3 W4A8 runtime and artifacts for Radeon RDNA4

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Pinned upstream checkpoint downloads, Paiton gfx1201 artifacts, one-command ComfyUI launch, continuous 15-second video/audio example and matched stock benchmarks. No model weights are mirrored.

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  1. .dockerignore +6 -0
  2. .gitattributes +6 -0
  3. BENCHMARKS.md +236 -0
  4. Dockerfile +28 -0
  5. Dockerfile.local +17 -0
  6. LICENSE +201 -0
  7. LICENSES/ComfyUI-GPL-3.0.txt +674 -0
  8. LICENSES/MiniMax-H3-Community.txt +84 -0
  9. LICENSES/Triton-MIT.txt +23 -0
  10. LICENSES/comfy-kitchen-Apache-2.0.txt +202 -0
  11. NOTICE +13 -0
  12. README.md +127 -0
  13. SHA256SUMS +67 -0
  14. THIRD_PARTY_NOTICES.md +51 -0
  15. artifacts/README.md +9 -0
  16. artifacts/minimax_h3_projections_gfx1201.manifest.json +150 -0
  17. artifacts/minimax_h3_projections_gfx1201.so +3 -0
  18. assets/comfyui-workflow.png +3 -0
  19. assets/fox-15s-contact-sheet.jpg +3 -0
  20. assets/fox-15s-poster.jpg +3 -0
  21. assets/fox-15s.mp4 +3 -0
  22. assets/generation-performance.png +3 -0
  23. assets/generation-performance.svg +2316 -0
  24. assets/long15-results.json +453 -0
  25. assets/long15-timings.csv +7 -0
  26. benchmark-cases.json +27 -0
  27. benchmark-data/comfyui-media-parity.json +7 -0
  28. benchmark-data/container-turbo4-fused-v4.csv +11 -0
  29. benchmark-data/container-turbo4-fused-v4.json +684 -0
  30. benchmark-data/container-turbo8-fused-v4.csv +11 -0
  31. benchmark-data/container-turbo8-fused-v4.json +724 -0
  32. benchmark-data/container-turbo8.csv +11 -0
  33. benchmark-data/container-turbo8.json +795 -0
  34. benchmark-data/fox-turbo8.csv +7 -0
  35. benchmark-data/fox-turbo8.json +243 -0
  36. benchmark-data/long15-parity.json +76 -0
  37. benchmark-data/paiton-runtime-final-parity.json +6 -0
  38. benchmark-data/quality-turbo4-fused-v4.json +59 -0
  39. benchmark-data/quality-turbo8-fused-v4.json +59 -0
  40. benchmark-data/quality-turbo8.json +90 -0
  41. benchmark-data/stock-runtime-parity-final.json +0 -0
  42. benchmark-data/stock-runtime-parity.json +0 -0
  43. checkpoints.lock.json +105 -0
  44. comfyui/paiton_h3/__init__.py +57 -0
  45. comfyui/paiton_h3/web/start.js +26 -0
  46. comfyui/workflows/base20.api.json +173 -0
  47. comfyui/workflows/turbo4.api.json +195 -0
  48. comfyui/workflows/turbo4.json +1857 -0
  49. comfyui/workflows/turbo8-15s.json +1857 -0
  50. comfyui/workflows/turbo8.api.json +195 -0
.dockerignore ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
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+ outputs
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+ paiton-videos
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+ paiton-h3-data
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+ **/__pycache__
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+ **/*.pyc
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+ .git
.gitattributes CHANGED
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ artifacts/minimax_h3_projections_gfx1201.so filter=lfs diff=lfs merge=lfs -text
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+ assets/comfyui-workflow.png filter=lfs diff=lfs merge=lfs -text
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+ assets/fox-15s-contact-sheet.jpg filter=lfs diff=lfs merge=lfs -text
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+ assets/fox-15s-poster.jpg filter=lfs diff=lfs merge=lfs -text
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+ assets/fox-15s.mp4 filter=lfs diff=lfs merge=lfs -text
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+ assets/generation-performance.png filter=lfs diff=lfs merge=lfs -text
BENCHMARKS.md ADDED
@@ -0,0 +1,236 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Continuous 15-second qualification
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+
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+ | Matched Turbo8, 15.08-second clip | Stock | Paiton |
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+ | --- | ---: | ---: |
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+ | Complete playable MP4 | 399.40 s | **332.85 s** |
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+ | Pipeline before file encoding | 385.60 s | 318.98 s |
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+ | Fixed-length clips per hour | 9.01 | **10.82** |
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+ | Generated video seconds per wall second | 0.0378 | 0.0453 |
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+
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+
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+ 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.
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+
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+ | Component, measured mean seconds | Stock | Paiton |
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+ | --- | ---: | ---: |
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+ | conditioning | 21.718 | 10.821 |
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+ | sampling | 317.987 | 262.296 |
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+ | video decode | 42.521 | 42.473 |
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+ | audio decode | 3.345 | 3.370 |
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+ | encode mux | 13.800 | 13.873 |
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+
21
+ 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.
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+
23
+ | Peak memory across these runs, GiB | Stock | Paiton |
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+ | --- | ---: | ---: |
25
+ | Torch peak allocation | 10.653 | 7.805 |
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+ | Torch peak reservation | 16.418 | 10.197 |
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+ | Sampled driver VRAM | 30.283 | 30.338 |
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+ | Sampled host RSS | 11.616 | 11.457 |
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+ | Process lifetime RSS high-water mark | 12.091 | 11.752 |
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+ | Sampled process swap | 0.488 | 1.239 |
31
+
32
+ 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.
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+
34
+ The 20% end-to-end latency engineering target remains unmet; the 19.99% throughput gain is a different metric.
35
+
36
+ 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.
37
+
38
+ ---
39
+
40
+ # MiniMax H3 qualification — 8 September 2026
41
+
42
+ H3 produces local video and native audio on one 32 GB Radeon AI PRO R9700.
43
+ The final compiled denoiser fuses Turbo residuals, paired SwiGLU and RDNA4
44
+ INT8 attention. The **20% end-to-end latency objective remains unmet**.
45
+ Nothing is published; this is a local review package.
46
+
47
+ ## Matched complete-generation results
48
+
49
+ Both engines use the exact pinned W4A8 FL2VA denoiser, NVFP4-storage/FP16 Qwen3-VL
50
+ intermediate encoder, INT8 video VAE/BF16 compute, FP32 audio VAE and matching
51
+ Turbo adapter. Canvas 864×480, 124 frames, 24 fps, batch one. Euler/simple,
52
+ BasicGuider, no CFG second forward, shifts 6/3, and exactly four/eight NFEs.
53
+ Audio is jointly generated. Smart memory, Dynamic VRAM, two offload streams,
54
+ `--fast-disk`, 2 GB reserve and hardware profile are matched.
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+
56
+ | Preset | Stock seconds | Paiton seconds | Lower latency |
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+ |---|---:|---:|---:|
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+ | Turbo4 | 64.15 s | 54.38 s | 15.24% |
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+ | Turbo8 | 95.83 s | 80.60 s | 15.89% |
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+
61
+ | Preset / prompt / seed | Stock measured seconds | Paiton measured seconds |
62
+ |---|---|---|
63
+ | Turbo4 / barista / 772 | 65.2211, 63.7795 | 54.9004, 54.0661 |
64
+ | Turbo4 / pouring_water / 773 | 63.7140, 63.8874 | 54.3518, 54.1864 |
65
+ | Turbo8 / barista / 772 | 96.3074, 95.9004 | 80.9720, 80.1997 |
66
+ | Turbo8 / pouring_water / 773 | 95.6352, 95.4844 | 80.8519, 80.3818 |
67
+
68
+ | Preset / engine | Warm before encoding, s | Playable clips/hour | Video seconds/wall second | First clip after setup, s | Setup/import/model creation, s |
69
+ |---|---:|---:|---:|---:|---:|
70
+ | Turbo4 / stock | 59.939 | 56.118 | 0.080540 | 109.160 | 18.321 |
71
+ | Turbo4 / paiton | 50.174 | 66.205 | 0.095017 | 103.771 | 16.207 |
72
+ | Turbo8 / stock | 91.738 | 37.566 | 0.053914 | 141.431 | 17.327 |
73
+ | Turbo8 / paiton | 76.479 | 44.664 | 0.064101 | 129.472 | 14.052 |
74
+
75
+ One fox warmup precedes two measured requests each for barista and pouring
76
+ water. Fresh conditioning runs every time. Timing starts before conditioning
77
+ and ends after the playable MP4 is written, including H.264 encoding/AAC mux.
78
+ Diagnostic latent saving is outside the boundary. Downloads, builds, imports
79
+ and model construction are separate. An existing filesystem/runtime cache is
80
+ not a completely cold installation. The GPU ran one workload at a time; no
81
+ power/profile/clock changes occurred. Sample size is small and fixed, without
82
+ a general performance guarantee. Four-step versus eight-step speed is not
83
+ counted as a Paiton gain.
84
+
85
+ ## Reproduce the measured multi-prompt suite
86
+
87
+ After downloading both Turbo profiles, copy the bundled fixed cases into the
88
+ persistent data directory and run each engine sequentially:
89
+
90
+ ```sh
91
+ cp benchmark-cases.json "${PAITON_H3_DATA:-$PWD/paiton-h3-data}/benchmark-cases.json"
92
+ ./launch.sh --stop
93
+ ./run.sh benchmark --preset turbo4 --engine stock --runs 5 \
94
+ --cases /data/benchmark-cases.json --output /outputs/stock4-suite
95
+ ./run.sh benchmark --preset turbo4 --engine paiton --runs 5 \
96
+ --cases /data/benchmark-cases.json --output /outputs/paiton4-suite
97
+ ./run.sh report /outputs/stock4-suite --measured 1 2 3 4
98
+ ./run.sh report /outputs/paiton4-suite --measured 1 2 3 4
99
+ ```
100
+
101
+ Repeat with `--preset turbo8` and different output directories. These five
102
+ cases are fox warmup, barista twice, then pouring water twice; each prompt is
103
+ encoded again. Never overwrite an earlier measurement directory.
104
+
105
+ ## Components, residency and memory
106
+
107
+ | Mean component, seconds | Turbo4 stock | Turbo4 Paiton | Turbo8 stock | Turbo8 Paiton |
108
+ |---|---:|---:|---:|---:|
109
+ | conditioning | 5.2890 | 2.7132 | 4.7460 | 2.6402 |
110
+ | sampling | 34.3590 | 27.1853 | 66.7529 | 53.5448 |
111
+ | video_decode | 17.1231 | 17.1474 | 17.0965 | 17.1059 |
112
+ | audio_decode | 3.1371 | 3.0995 | 3.1109 | 3.1597 |
113
+ | encode_mux | 4.2101 | 4.2018 | 4.0936 | 4.1218 |
114
+
115
+ | Measured peak across both presets, GiB | Stock | Paiton |
116
+ |---|---:|---:|
117
+ | Sampled driver VRAM | 31.110 | 30.534 |
118
+ | Torch allocation | 4.955 | 4.151 |
119
+ | Torch reservation | 7.064 | 4.973 |
120
+ | Sampled process RSS | 9.517 | 9.428 |
121
+ | Process lifetime RSS high-water mark | 9.562 | 9.601 |
122
+ | Sampled process swap | 0.393 | 0.000 |
123
+
124
+ Driver/host telemetry is sampled every 0.5 seconds and can miss short peaks.
125
+ AIMDO weights sit largely outside Torch's allocator. These memory columns are
126
+ not additive. The host has 15.5 GiB usable RAM and a SATA SSD; pinned H2D was
127
+ about 11 GiB/s and direct SSD reads about 553 MB/s. Selected dynamic scheduling
128
+ is feasible on this 16 GB host. Larger host caches caused swapping; no extra
129
+ pinned-memory cache is in the package.
130
+
131
+ The hot denoiser stays resident. Component disk-read counts are retained for
132
+ every phase; loading and transfers are included in those clocks. Loader
133
+ staging/execution overlap, so phase movement is not reported as an invented
134
+ separate additive duration. A representative hot denoiser profile showed one
135
+ 20.2 microsecond HtoD event and flat disk counters; its transfer byte count was
136
+ unavailable. This is not denoiser block streaming on every evaluation. Smaller
137
+ intermediate allocations reduce dynamic eviction and conditioning reloads.
138
+
139
+ | Mean phase disk reads, decimal GB | Turbo4 stock | Turbo4 Paiton | Turbo8 stock | Turbo8 Paiton |
140
+ |---|---:|---:|---:|---:|
141
+ | conditioning | 2.421 | 0.804 | 1.978 | 0.766 |
142
+ | sampling | 2.636 | 2.136 | 2.674 | 2.049 |
143
+ | video_decode | 2.435 | 2.430 | 2.422 | 2.421 |
144
+ | audio_decode | 0.257 | 0.257 | 0.257 | 0.257 |
145
+
146
+ 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.
147
+
148
+ ## Correctness and quality
149
+
150
+ All ten paired clips, including both warmups, have bit-equal video/audio
151
+ latents and byte-identical MP4 files. All decoded files have 124 distinct
152
+ frames, 864×480 and 24 fps. Video lasts 5.1667 s. Generated audio is 165600
153
+ samples at 32000 Hz (5.175 s); AAC decoding returns 165888 samples because of
154
+ padding and the muxed audio duration is about 5.167 s. Do not describe the clip
155
+ as exactly five seconds or its track endings as exactly sample aligned.
156
+
157
+ - Four-step fox: coherent motion/anatomy, natural birds/water confirmed by the
158
+ reviewer. Four-step barista: coherent cup handoff; reviewer confirmed clear
159
+ speech and reasonable lip synchronization. Those listening confirmations
160
+ cover these clips, not all prompts or the separate eight-step adapter.
161
+ - Four-step pouring: two bottles instead of the requested one. Flow/glass are
162
+ coherent, but prompt adherence fails on object count. AAC has two channel
163
+ samples at/above full scale (peak about 1.00053).
164
+ - Eight-step pouring: one bottle with pronounced foam and incomplete final
165
+ placement. AAC has five full-scale/overshoot channel samples (peak about
166
+ 1.02007). The native waveform reaches its decoder clamp. No normalization,
167
+ audio replacement or mixing hides these shared limitations.
168
+ - No exact duplicated frames or nonfinite outputs were found. Contact sheets
169
+ and private comparison reels are retained. Visual inspection covers these
170
+ fixed prompts; a single numerical score is not proof of broad quality.
171
+
172
+ Equality is with the selected lossy quantized stock path, not full-precision
173
+ original H3. The pruned AdaLN fit, W4 weights, encoder quantization, INT8 VAE and
174
+ step-distilled adapters all have their own quality limits. Hosted context
175
+ processing/2K regeneration are absent. Other workloads/settings are unqualified.
176
+
177
+ ## Compiler/runtime validation and evidence
178
+
179
+ Seven ROCm artifact tests pass: complete projection outputs, boundary token
180
+ counts, W4/SwiGLU handling, Turbo residual scales 1/16 and 1, dense attention,
181
+ graph replay and the earlier FLUX projection ABI. Stock quantizers, adapter
182
+ GEMMs, scheduler, RNG consumption, positions, packing and normalization remain
183
+ intact. Four-step clips exercise 600 residual, 200 SwiGLU and 200 attention
184
+ calls; eight-step clips exercise twice those counts. Unsupported cases retain
185
+ native fallback. Both engines execute the packaged ComfyUI four-step graph;
186
+ its decoded media matches the CLI. UI cache reuse is a functional check, not a
187
+ fresh-prompt performance sample.
188
+
189
+ The selected artifact is:
190
+ `minimax_h3_projections_gfx1201.so`, 838384 bytes, SHA-256
191
+ `06c7232319e48b8332e75f7980ee4a6e596dad7d99a2875640858a94f14aca56`.
192
+
193
+ Immutable checkpoint revisions/sizes/SHA-256: [checkpoints.lock.json](checkpoints.lock.json).
194
+ Raw per-run timing, memory, file hashes and case data:
195
+ [Turbo4 JSON](benchmark-data/container-turbo4-fused-v4.json),
196
+ [Turbo4 CSV](benchmark-data/container-turbo4-fused-v4.csv),
197
+ [Turbo8 JSON](benchmark-data/container-turbo8-fused-v4.json),
198
+ [Turbo8 CSV](benchmark-data/container-turbo8-fused-v4.csv).
199
+ Each engine's exact local image identity is in these records. Turbo4 stock
200
+ uses the preceding local image; its stock runner, CLI, checkpoint lock,
201
+ dependency lock and native H3 model/VAE code were SHA-256-verified identical.
202
+ Both images share the immutable base and pinned dependencies. The image change
203
+ adds Paiton's unit-scale adapter entry point. Turbo8 uses the final image for
204
+ both engines.
205
+
206
+ The binary is supplied in the local bundle; no public artifact endpoint exists.
207
+ Compiler rebuilds preserve generated sources, but HIP build identities can
208
+ change ELF hashes. The manifest pins the tested binary rather than promising
209
+ bit-reproducible ELF output. Commands/raw telemetry, retained clips, contact
210
+ sheets and unpublished demos remain local/private.
211
+
212
+ ## Earlier experiments and rejected paths
213
+
214
+ Projection-only Paiton averaged 92.39 s versus 96.43 s stock (4.19%). New
215
+ profiling exposed adapter scaling/addition and attention costs; fusing those
216
+ operations produced the present result. Earlier baseline/reference records
217
+ remain alongside final data and are not current release claims.
218
+
219
+ Attention scheduling/packing and exact residual/SwiGLU fusion improved complete
220
+ clips. Wider tiles, extra pipeline stages, alternate attention barriers and
221
+ video-decoder graph capture lost or did not help. A 4 GiB host cache saved only
222
+ about 1.3 s and caused process swap, so it was rejected. Selective decoder
223
+ projections saved about one second but changed pixels (RMSE .00189); fused
224
+ RMS/RoPE and tile batching also introduced numerical variants for small gains.
225
+ These decoder changes were not promoted.
226
+
227
+ Published group-wise INT4/SVDQuant checkpoints inspected during this round use
228
+ different model/layout/runtime assumptions; CUDA/A100/4090 claims do not
229
+ establish gfx1201 support. A bounded 11.34 GB uncalibrated INT8-donor-to-W4A4
230
+ conversion did run native RDNA4 INT4 WMMA and produced a coherent clip, but
231
+ changed image detail/composition. Its approximately 7 s denoiser evaluations
232
+ were slower than the compiled W4A8 path. This probe is not a release checkpoint
233
+ and does not rule out calibrated group-wise INT4 with residual correction.
234
+ Original weights were preserved; selected release files require no local
235
+ conversion. No larger inference machine, hosted generation or paid resources
236
+ were used.
Dockerfile ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # syntax=docker/dockerfile:1.7
2
+ # Publishable artifact/dependency image. ComfyUI is installed from its
3
+ # pinned upstream source only in the end user's local image (Dockerfile.local).
4
+ FROM ghcr.io/eliovp/paiton-vllm-plugin@sha256:c56baf54aca1ad229829c1de26e8792806608e65ee9d06ee210b79cd49f70bc9
5
+ HEALTHCHECK NONE
6
+ LABEL org.opencontainers.image.title="Paiton MiniMax H3 RDNA4 artifacts and dependencies" \
7
+ dev.paiton.gpu.arch="gfx1201" \
8
+ org.opencontainers.image.source="https://github.com/Eliovp-BV/paiton-vllm-plugin" \
9
+ org.opencontainers.image.version="minimax-h3-rdna4-v1.0.0"
10
+ ENV PYTHONPATH=/opt/h3:/opt/h3-deps:/opt/paiton/venv-site-packages:/opt/paiton/site-packages \
11
+ PAITON_H3_DATA=/data PAITON_COMFY_ROOT=/opt/comfyui \
12
+ HF_HOME=/data/cache HF_HUB_CACHE=/data/cache/hub \
13
+ TRITON_CACHE_DIR=/data/cache/triton TORCHINDUCTOR_CACHE_DIR=/data/cache/inductor \
14
+ XDG_CACHE_HOME=/data/cache/xdg \
15
+ VLLM_USE_PAITON_PLATFORM=0 VLLM_DISABLE_PAITON_PLATFORM=1 \
16
+ MIOPEN_FIND_MODE=FAST HF_HUB_DISABLE_TELEMETRY=1
17
+ COPY requirements.lock.txt /opt/h3/requirements.lock.txt
18
+ COPY paiton_video /opt/h3/paiton_video
19
+ COPY artifacts /opt/h3/artifacts
20
+ RUN test -s /opt/h3/artifacts/minimax_h3_projections_gfx1201.so
21
+ COPY checkpoints.lock.json extra_model_paths.yaml LICENSE NOTICE THIRD_PARTY_NOTICES.md /opt/h3/
22
+ COPY LICENSES /opt/h3/LICENSES
23
+
24
+ RUN python3 -c 'import torch; assert torch.version.hip; print(torch.__version__)'
25
+ RUN python3 -c 'import importlib.util; assert importlib.util.find_spec("comfy") is None; assert importlib.util.find_spec("comfyui_frontend_package") is None'
26
+ WORKDIR /outputs
27
+ ENTRYPOINT ["python3", "-m", "paiton_video"]
28
+ CMD ["--help"]
Dockerfile.local ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # syntax=docker/dockerfile:1.7
2
+ # Built locally by launch.sh. Do not upload this combined image.
3
+ ARG PAITON_H3_BASE_IMAGE=ghcr.io/eliovp/paiton-vllm-plugin:minimax-h3-rdna4-v1.0.0
4
+ FROM ${PAITON_H3_BASE_IMAGE}
5
+ LABEL dev.paiton.distribution="local-assembly-only"
6
+ RUN python3 -m pip install --no-cache-dir --no-deps --target /opt/h3-deps -r /opt/h3/requirements.lock.txt
7
+ RUN git init /opt/comfyui \
8
+ && git -C /opt/comfyui remote add origin https://github.com/Comfy-Org/ComfyUI.git \
9
+ && git -C /opt/comfyui fetch --depth 1 origin efa6c8f804bff78b46a0fd458ebd2e47bba07a30 \
10
+ && git -C /opt/comfyui checkout --detach FETCH_HEAD \
11
+ && test "$(git -C /opt/comfyui rev-parse HEAD)" = efa6c8f804bff78b46a0fd458ebd2e47bba07a30 \
12
+ && rm -rf /opt/comfyui/.git
13
+ RUN git clone --depth 1 --branch v1.51.10 https://github.com/Comfy-Org/ComfyUI_frontend.git /opt/comfyui-frontend-source \
14
+ && test "$(git -C /opt/comfyui-frontend-source rev-parse HEAD)" = e7d1c7fc6823e330fdab524610b0000394cb1dbc \
15
+ && rm -rf /opt/comfyui-frontend-source/.git
16
+ COPY comfyui/paiton_h3 /opt/comfyui/custom_nodes/paiton_h3
17
+ COPY comfyui/workflows /opt/comfyui/custom_nodes/paiton_h3/example_workflows
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LICENSES/MiniMax-H3-Community.txt ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MiniMax H3 COMMUNITY LICENSE AGREEMENT
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+ MiniMax H3 release date/License date: August 2, 2026.
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+ The scope of this License Agreement (this “Agreement”) is expressly limited to the “Applicable Territory” as defined below.
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+ I. Definitions
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+ 5. “Excluded Territories” means the European Union, the United Kingdom, the Republic of Korea and the United States of America.
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+ 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.
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+ 7. “MiniMax H3 Works” means (i) the Materials, (ii) the Model Derivatives, and (iii) all derivatives thereof.
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+ II. Grant of Rights
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+ 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.
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+ 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.
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+ III. Distribution and Redistribution
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+ 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:
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+ 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;
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+ 2. You must cause any modified files to carry prominent notices stating that you have modified such files;
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+ 3. You are encouraged to:
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+ a. display a notice on any product or service developed using MiniMax H3 indicating that the product or service is “Powered by MiniMax H3”;
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+ b. add an AI-generation identifier to files produced using generative AI models including MiniMax H3; and
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+ c. publish at least one technical blog post or a public statement describing your experience using MiniMax H3 Works;
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+ 4. All distributions to Third Parties (other than through Hosted Services) must be accompanied by a “NOTICE” text file containing the following notice:
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+ “MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.”
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+ 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.
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+ IV. Additional Commercial Terms
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+ 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.
37
+ 2. You shall prominently display “MiniMax H3”on the user interface of commercial product or service that uses MiniMax H3 or MiniMax H3 Works.
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+ V. Use Restrictions
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+ 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.
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+ 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.
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+ 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).
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+ 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.
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+ 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.
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+ VI. Intellectual Property
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+ 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.
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+ 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.
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+ 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.
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+ 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.
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+ VII. Disclaimers and Limitations of Liability
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+ VIII. Term and Termination
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+ 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.
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+ 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.
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+ IX. Governing Law and Jurisdiction
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+ 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.
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+ 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.
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+ 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.
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+
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+ Exhibit A — Acceptable Use Policy
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+ MiniMax reserves the right to update this Acceptable Use Policy from time to time.
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+ Last revised: August 2, 2026.
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+ 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:
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+ 1. Use outside the Applicable Territory;
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+ 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;
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+ 3. Use in any manner that may harm yourself or others;
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+ 4. Use to repurpose or distribute the Outputs of MiniMax H3 or any Model Derivatives in order to harm yourself or others;
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+ 5. Use to circumvent or bypass any safety guardrails or safeguards we have implemented;
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+ 6. Use in any manner that exploits or harms, or intends to exploit or harm, minors;
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+ 7. Use to generate or disseminate verifiably false information and/or content for the purpose of harming others or influencing elections;
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+ 8. Use to manufacture or facilitate false online engagement, including fake reviews and other means of false online engagement;
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+ 9. Use to intentionally defame, disparage, or otherwise harass others;
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+ 10. Use to generate and/or disseminate malware (including ransomware) or any other content intended to damage electronic systems;
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+ 11. Use to generate or disseminate personally identifiable information for the purpose of harming others;
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+ 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;
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+ 13. Use to impersonate another person without that person’s consent, authorization, or lawful right to do so;
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+ 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);
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+ 15. Use in any manner that violates or disregards the social, ethical, or moral standards of other countries or regions;
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+ 16. Use to carry out, assist, threaten, incite, plan, advocate for, or encourage violent extremism or terrorism;
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+ 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;
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+ 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;
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+ 19. Use for military purposes;
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+ 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.
LICENSES/Triton-MIT.txt ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ /*
2
+ * Copyright 2018-2020 Philippe Tillet
3
+ * Copyright 2020-2022 OpenAI
4
+ *
5
+ * Permission is hereby granted, free of charge, to any person obtaining
6
+ * a copy of this software and associated documentation files
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+ * (the "Software"), to deal in the Software without restriction,
8
+ * including without limitation the rights to use, copy, modify, merge,
9
+ * publish, distribute, sublicense, and/or sell copies of the Software,
10
+ * and to permit persons to whom the Software is furnished to do so,
11
+ * subject to the following conditions:
12
+ *
13
+ * The above copyright notice and this permission notice shall be
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+ * included in all copies or substantial portions of the Software.
15
+ *
16
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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+ * IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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+ * CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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+ * TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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+ * SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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+ */
LICENSES/comfy-kitchen-Apache-2.0.txt ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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NOTICE ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Paiton MiniMax H3 runtime integration
2
+ Copyright ElioVP
3
+
4
+ The compiled artifact runtime includes AITemplate-derived host support.
5
+ Copyright (c) Meta Platforms, Inc. and affiliates.
6
+ Triton-generated host/device code retains the notice in LICENSES/Triton-MIT.txt.
7
+
8
+ MiniMax H3 is developed by MiniMax. Weights are downloaded separately from
9
+ the immutable upstream checkpoints listed in checkpoints.lock.json.
10
+ This package does not imply endorsement by MiniMax or the quantization authors.
11
+
12
+ MiniMax H3 is licensed under the MiniMax H3 Community License Agreement,
13
+ Copyright © 2026 MiniMax. All Rights Reserved.
README.md ADDED
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1
+ ---
2
+ license: other
3
+ license_name: minimax-h3-community-license-agreement
4
+ license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/42ed227ee7df40d41602854ae760620d6eb651fe/LICENSE
5
+ base_model: MiniMaxAI/MiniMax-H3
6
+ base_model_relation: quantized
7
+ library_name: paiton
8
+ pipeline_tag: text-to-video
9
+ inference: false
10
+ tags:
11
+ - paiton
12
+ - amd
13
+ - rocm
14
+ - rdna4
15
+ - gfx1201
16
+ - compiled-model
17
+ - video-generation
18
+ - audio-video-generation
19
+ - w4a8
20
+ ---
21
+
22
+ # MiniMax H3 W4A8 with Paiton on Radeon AI PRO R9700
23
+
24
+ **Runtime package and compiled artifacts; no model weights are mirrored here.**
25
+ This package executes upstream quantized MiniMax H3 FL2VA with H3 Turbo on one
26
+ 32 GB gfx1201 GPU. Original checkpoints download from their pinned publishers.
27
+ The Paiton runtime bindings use Apache-2.0; H3 and its derivatives retain the
28
+ custom community license above. See the complete third-party notices.
29
+
30
+ <video controls preload="metadata" src="https://huggingface.co/EliovpAI/MiniMax-H3-W4A8-Paiton-RDNA4/resolve/main/assets/fox-15s.mp4" poster="https://huggingface.co/EliovpAI/MiniMax-H3-W4A8-Paiton-RDNA4/resolve/main/assets/fox-15s-poster.jpg"></video>
31
+
32
+ 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.
33
+
34
+ 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.
35
+
36
+ ## Start ComfyUI with one command
37
+
38
+ ```bash
39
+ git clone --depth 1 https://github.com/Eliovp-BV/paiton-vllm-plugin.git && cd paiton-vllm-plugin && ./models/MiniMax-H3/launch.sh
40
+ ```
41
+
42
+ 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.
43
+
44
+ ![Included workflow](assets/comfyui-workflow.png)
45
+
46
+ 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.
47
+
48
+ 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.
49
+
50
+ 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.
51
+
52
+ ## Choose a workflow
53
+
54
+ | Workflow | Output | Purpose |
55
+ | --- | --- | --- |
56
+ | `turbo8-15s.json` | 362 frames, 15.0833 s | Default continuous scene; eight evaluations |
57
+ | `turbo8.json` | 124 frames, 5.1667 s | Shorter eight-step scene |
58
+ | `turbo4.json` | 124 frames, 5.1667 s | Faster four-step alternative with a quality tradeoff |
59
+
60
+ 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.
61
+
62
+ 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.
63
+
64
+ ## Terminal generation
65
+
66
+ Stop the interface before launching a separate GPU pipeline:
67
+
68
+ ```bash
69
+ ./launch.sh --stop
70
+ ./run.sh download --profile turbo8
71
+ ./run.sh generate --engine paiton --preset turbo8 --frames 362 \
72
+ --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.' \
73
+ --seed 771 --output /outputs/fox-15s
74
+ ```
75
+
76
+ 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.
77
+
78
+ ## Reproduce the comparison
79
+
80
+ ```bash
81
+ ./launch.sh --stop
82
+ ./run.sh benchmark --engine stock --preset turbo8 --frames 362 --output /outputs/stock-15s
83
+ ./run.sh benchmark --engine paiton --preset turbo8 --frames 362 --output /outputs/paiton-15s
84
+ ./run.sh report /outputs/paiton-15s
85
+ ./run.sh inspect /outputs/paiton-15s/clip-2.mp4 --output /outputs/paiton-15s/quality
86
+ ```
87
+
88
+ 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.
89
+
90
+ | Matched Turbo8, 15.08-second clip | Stock | Paiton |
91
+ | --- | ---: | ---: |
92
+ | Complete playable MP4 | 399.40 s | **332.85 s** |
93
+ | Pipeline before file encoding | 385.60 s | 318.98 s |
94
+ | Fixed-length clips per hour | 9.01 | **10.82** |
95
+ | Generated video seconds per wall second | 0.0378 | 0.0453 |
96
+
97
+
98
+ The earlier three-prompt qualification also measured the short presets:
99
+
100
+ | Matched preset, 5.17-second clip | Stock | Paiton | Lower latency |
101
+ | --- | ---: | ---: | ---: |
102
+ | Turbo4, four evaluations | 64.15 s | 54.38 s | 15.24% |
103
+ | Turbo8, eight evaluations | 95.83 s | 80.60 s | 15.89% |
104
+
105
+
106
+ Full settings, component times, memory definitions, per-run data and quality limits are in [BENCHMARKS.md](BENCHMARKS.md).
107
+
108
+ ## Requirements and supported scope
109
+
110
+ - Linux x86-64, Docker Engine with Compose, and working `/dev/kfd` and `/dev/dri` access for gfx1201.
111
+ - 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.
112
+ - 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.
113
+ - 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.
114
+
115
+ 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.
116
+
117
+ 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.
118
+
119
+ 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.
120
+
121
+ ## Downloads, artifacts and licenses
122
+
123
+ [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.
124
+
125
+ 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.
126
+
127
+ 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).
SHA256SUMS ADDED
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1
+ 15ab71c25ab4c1424cd31886a83477bffbff4ba2d73e744a57396914ca9ca806 .dockerignore
2
+ 91fbf180a066ef988923e41f522331de4736d07e9d6caec0780362deef7b71a1 BENCHMARKS.md
3
+ 57cf198f0cbad834dbccb6fb3397ee91e2fabc382e8bb438fe2ab09d06f52795 Dockerfile
4
+ d77d5ad217baf52bc39fa8752b3fcaf04027b0f953969c964f4e835fb8edb326 Dockerfile.local
5
+ c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 LICENSE
6
+ 3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986 LICENSES/ComfyUI-GPL-3.0.txt
7
+ bfbcb14b8ae22b2ff0b9eb9a7151d37d9411851a1be651023c7709091e0eec8f LICENSES/MiniMax-H3-Community.txt
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+ 0437f03a89777ae6d8c4d235f1f432236b1b85bfa5e10d8505cea20d97bd8e69 NOTICE
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+ 1253a645b6e2cf768173a051b27e209ac6fb3dd14a5a54dfdd6f6795dcf12af3 README.md
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+ be5560b79e4272c9b024b5fd5e1cbdfe78ee5b1d453f0a9eb28b5884c4c2e9c2 THIRD_PARTY_NOTICES.md
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+ ae59a0e60400b893a507ea7e9c0ff0663331327841e3cc275fd451e38b9979f2 artifacts/minimax_h3_projections_gfx1201.manifest.json
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16
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17
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18
+ 69a20b18cc6f663f53394ffe9a509f486f94d6337b9ec4b2975dfbbe92255b2e assets/fox-15s-poster.jpg
19
+ 3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02 assets/fox-15s.mp4
20
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+ acead936d5f79174d0691a610f0b2bb8a85d75e04c581059d831a9156fc8bfd4 assets/generation-performance.svg
22
+ e1a5f3abdca44d34813ebf6d959f0d79ddf0b648252cec9ec59f387febd9453a assets/long15-results.json
23
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24
+ 32795ab728bb3b0d4c1763ea98c14c4f1122933ca66b1f22158c46d0d55ebbc5 benchmark-cases.json
25
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26
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29
+ 101ace1ee51260672f04aaae6e418989aa64d8c9e1cde184ac580ccd04527408 benchmark-data/container-turbo8-fused-v4.json
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+ 4d29bb0752a5e275d2678a846cd03940280e3ae27214b868c7cb33e6275553b8 benchmark-data/container-turbo8.csv
31
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32
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33
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34
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35
+ 6284c1a9f656c04010564b0157444d021761499f80d02708b671d7012c7ec420 benchmark-data/paiton-runtime-final-parity.json
36
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37
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39
+ 4d89e2f2b12125303c2108bd7c398a4fa07c8fd8d82bcf801410df8c7e7449f5 benchmark-data/stock-runtime-parity-final.json
40
+ 9592966266abcde3dd2a5275a3a677706116b8306b6ff61797e6e2f3cff0a828 benchmark-data/stock-runtime-parity.json
41
+ a79216c07a86a940338930d57b4af05b689db488b5b041632d2460db9acd2a12 checkpoints.lock.json
42
+ fc2a70d10cd0c71bf3deb58ff8a5418e9a69b4a0d3cad9688ac74b74f8943e99 comfyui/paiton_h3/__init__.py
43
+ c614b29a752408ab7972106d5b3dd609d8a540403f0dfeb7c246d9830254aedf comfyui/paiton_h3/web/start.js
44
+ b919bc201c6295870ce34d0b8f457d1113f427bc8e2accadc104e2b35eead311 comfyui/workflows/base20.api.json
45
+ ea2d536b4c0d50e2d2752e122ab3c4616fa70b892bf0881d09f892531128920d comfyui/workflows/turbo4.api.json
46
+ 8f6323b0bbba0881132294d363b4204ba15ef49ecd17279035c408d0752f8c79 comfyui/workflows/turbo4.json
47
+ 0bacc31f5a99d6532c92e2eaf23418d83bb2c9907e444f5f155eeb1f98281d5e comfyui/workflows/turbo8-15s.json
48
+ 19f00a2d5fd0af00304fdb6117ffc7372766436d6d32f91a84453542ab7703da comfyui/workflows/turbo8.api.json
49
+ 8efd28754178fc8133bd60a689d4f234916c08f02ac16a2441fca92d3faca286 comfyui/workflows/turbo8.json
50
+ 42f394c74d8b5302dec4fbec799fac80cf267bee3f62117927a5d94465dd5148 compose.yaml
51
+ 27e39af59135c2ec94edd6d33c8184fc832dda0376c2388d05d444de2bacaeeb extra_model_paths.yaml
52
+ f81a0a43611f7bf549388f5227d85e4ef82bad0c89789cfa144057780fce726a image.sh
53
+ d5901a5369245f8662330f1f4e60183bf25de791742c58a804f8cae5d4a35162 launch.sh
54
+ 74e01ccae099f077e27fdb2bb7dd71be63aec3c4a5e0b9b7b2c04eefb1430f93 paiton-minimax-h3-rdna4-v1.0.0.tar.gz
55
+ 3eb1479a760b21ae8ee583f38c6877b8d41a58633335b11ba34aad8a7e83107e paiton-minimax-h3-rdna4-v1.0.0.tar.gz.sha256
56
+ d51d76441675dd2a376437953b8494c0a5ecfbbf9ab286c8bc1c9cd81f77ca09 paiton_video/__init__.py
57
+ 459e30df38a8dbdfe60125b835bb39c49fce96b0487b19eed5b28b7bc7bc0b0e paiton_video/__main__.py
58
+ 1b807c7ad73db44dc84e96002e0f79bfd9bbcae836770adef17815bf28485c7c paiton_video/download.py
59
+ edb5fc5adb140b628a7aaf89ee365adb40451a8da0c6eb7c6efbc4bc14671454 paiton_video/fusions.py
60
+ f115fcda25e1d18805d46af63989f767ce22f9b340d370be60cbbfd6a2ca1d43 paiton_video/inspect_clip.py
61
+ d3d9cb745d6f7ea7c18916b76091202dcbc259b81b882637ff52f15604a46943 paiton_video/projection.py
62
+ fabf4a929ef892788f042960e1d8a4c66c07bbfec48a945df6044c110311986c paiton_video/qualification.py
63
+ 506127e62cde36721986581c93e06d2f830585546c2b67a0d1a8d70db352d5a1 paiton_video/report_runs.py
64
+ 74c81f434b91b3b1e9329b0b2fc4eb3b736ee545447df0a9b490cec214f6abd3 prompts.json
65
+ 4361448a15677014461a914c90a6bf40cecb7d85330395929eb2b4bfc892d48a release.lock.json
66
+ 1b681ec6df21eeaca636378132681531db9b44cdedc40de5f311b46d4689e75c requirements.lock.txt
67
+ db1916df84251ec2a03594b5ec7ef22b3c7c5575009e309ffd06c195c0636aa7 run.sh
THIRD_PARTY_NOTICES.md ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Third-party notices and local assembly
2
+
3
+ The GHCR candidate contains independently compiled Paiton artifacts, public
4
+ Python bindings and an existing pinned ROCm base. New H3 dependencies,
5
+ including GPL-3.0 AIMDO and codec wheels, are installed only during local assembly. It does not contain ComfyUI core,
6
+ the ComfyUI frontend, model weights or private compiler source. `launch.sh`
7
+ pulls that image and builds a second image locally from pinned upstream
8
+ ComfyUI sources. This locally assembled image is not a publication artifact.
9
+
10
+ | Component | License/source |
11
+ |---|---|
12
+ | H3 base and derivative weights | [MiniMax H3 Community License](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/42ed227ee7df40d41602854ae760620d6eb651fe/LICENSE), retained in LICENSES |
13
+ | 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 |
14
+ | ComfyUI core | [GPL-3.0](https://github.com/Comfy-Org/ComfyUI/tree/efa6c8f804bff78b46a0fd458ebd2e47bba07a30), full source in the local image |
15
+ | ComfyUI frontend | [GPL-3.0](https://github.com/Comfy-Org/ComfyUI_frontend/tree/e7d1c7fc6823e330fdab524610b0000394cb1dbc), matching source/build files in the local image |
16
+ | AIMDO memory manager | [comfy-aimdo 0.5.2](https://github.com/Comfy-Org/comfy-aimdo), installed locally | GPL-3.0 |
17
+ | comfy-kitchen | [Apache-2.0](https://github.com/Comfy-Org/comfy-kitchen/tree/e9ea99cf2f0af1d0c49c04690d4153a91c2b8668) |
18
+ | Paiton Python bindings and launch recipes | Apache-2.0, LICENSE and NOTICE |
19
+ | AITemplate-derived artifact host runtime | Apache-2.0, Meta Platforms notices |
20
+ | Triton-generated code | MIT, retained notice |
21
+ | Torch, ROCm and inherited dependencies | Notices retained in the pinned public base image |
22
+
23
+ H3's community license has territory and commercial-scale restrictions;
24
+ quantization and a Turbo adapter do not remove them. Obtain applicable H3
25
+ rights before downloading or using its derivatives. An adapter's Apache-2.0
26
+ metadata does not relicense the base model. This package does not establish
27
+ general authorization to redistribute converted H3 weights.
28
+
29
+ The Comfy encoder identifies the cybermotaz NVFP4 conversion as its source.
30
+ That [publisher's pinned card](https://huggingface.co/cybermotaz/Qwen3-VL-32B-Instruct/tree/dfcab1395094f56d3c78ba472158284def0fc278)
31
+ labels its terms "Qwen License" and links to a missing LICENSE file, while the
32
+ original Qwen card declares Apache-2.0. This metadata discrepancy is retained
33
+ for the redistribution review; no new license grant from this package is
34
+ implied. The selected Comfy encoder bytes remain pinned and unchanged and are
35
+ downloaded directly from its publisher; this package does not redistribute them.
36
+
37
+ The local engine loads the artifact into a process using GPL-3.0 ComfyUI.
38
+ The source-based local assembly follows the distinction between private use
39
+ and distribution in the [GNU licensing FAQ](https://www.gnu.org/licenses/gpl-faq.en.html#GPLRequireSourcePostedPublic).
40
+ This packaging approach does not grant permission to redistribute the combined
41
+ local image. Redistributors must independently satisfy the licenses of the
42
+ combination; supplying only ComfyUI source does not settle a linked artifact's
43
+ corresponding-source obligations. The independently distributed artifact has
44
+ no ComfyUI code or linkage dependency; it exports tensor kernel entry points.
45
+
46
+ The H3 fusion artifact also contains a modified D128 INT8 attention kernel and
47
+ required fragment helpers derived from comfy-kitchen v0.2.33
48
+ (e9ea99cf2f0af1d0c49c04690d4153a91c2b8668), Copyright (c) 2025 Comfy Org.,
49
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+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
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+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
25
+ },
26
+ {
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+ "video_shape": [
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+ "video_latent_max_abs_diff": 0.0,
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+ "audio_latent_max_abs_diff": 0.0,
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+ "mp4_equal": true,
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+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
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+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
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+ },
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+ {
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+ "run": 2,
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+ "video_shape": [
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+ "audio_latent_max_abs_diff": 0.0,
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+ "mp4_equal": true,
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+ "stock_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02",
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+ "paiton_mp4_sha256": "3a3374755d44718b7889cdbd4c822a58b41e952c08b256e5ede9fa2f7d77aa02"
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+ }
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+ ],
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+ "all_video_latents_equal": true,
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+ "all_audio_latents_equal": true,
75
+ "all_mp4_equal": true
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+ }
benchmark-data/paiton-runtime-final-parity.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "artifact_platform_manifest_unchanged": true,
3
+ "qualified_artifact_platform_manifest": "sha256:56c405453d21fd405ab0bb3f7eb0e0a2d6069ab672d617c319528e210ff2dd19",
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+ "final_artifact_platform_manifest": "sha256:56c405453d21fd405ab0bb3f7eb0e0a2d6069ab672d617c319528e210ff2dd19",
5
+ "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."
6
+ }
benchmark-data/quality-turbo4-fused-v4.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "preset": "turbo4",
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+ "quality_scope": "Three fixed stock clips. Every matched Paiton file is byte-identical. These checks do not establish full-precision quality parity.",
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+ "clips": [
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+ {
6
+ "case": "fox",
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+ "video_frames": 124,
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+ "audio_fraction_at_or_above_one": 0.0
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+ },
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+ {
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+ "case": "barista",
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+ ],
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+ ],
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+ "audio_fraction_at_or_above_one": 0.0
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+ },
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+ {
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+ "video_frames": 124,
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+ ],
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+ ],
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+ "audio_finite": true,
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+ "audio_peak": 1.0005277395248413,
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+ "audio_rms": 0.03604781942728985,
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+ "audio_fraction_at_or_above_one": 6.028163580246913e-06
52
+ }
53
+ ],
54
+ "human_listening": {
55
+ "fox": "Natural ambience confirmed",
56
+ "barista": "Intelligible dialogue and lip synchronization confirmed: Yes perfect"
57
+ },
58
+ "visual_limits": "Two bottles instead of the requested one in pouring"
59
+ }
benchmark-data/quality-turbo8-fused-v4.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "preset": "turbo8",
3
+ "quality_scope": "Three fixed stock clips. Every matched Paiton file is byte-identical. These checks do not establish full-precision quality parity.",
4
+ "clips": [
5
+ {
6
+ "case": "fox",
7
+ "video_frames": 124,
8
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+ ],
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+ "audio_fraction_at_or_above_one": 0.0
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+ },
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+ {
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+ "case": "barista",
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+ "duplicate_frame_pairs": [],
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+ ],
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+ ],
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+ "audio_rms": 0.020930961676824487,
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+ "audio_fraction_at_or_above_one": 0.0
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+ },
37
+ {
38
+ "case": "pour",
39
+ "video_frames": 124,
40
+ "duplicate_frame_pairs": [],
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+ "audio_shape": [
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+ 2,
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+ 165888
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+ ],
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+ "audio_sample_rates": [
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+ 32000
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+ ],
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+ "audio_finite": true,
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+ "audio_peak": 1.0200700759887695,
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+ "audio_rms": 0.034978609300774614,
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+ "audio_fraction_at_or_above_one": 1.5070408950617283e-05
52
+ }
53
+ ],
54
+ "human_listening": {
55
+ "fox": "No dedicated Turbo8 confirmation claimed",
56
+ "barista": "No dedicated Turbo8 confirmation claimed"
57
+ },
58
+ "visual_limits": "Pronounced foam and incomplete bottle placement in pouring"
59
+ }
benchmark-data/quality-turbo8.json ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "barista": {
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+ "duplicate_frame_pairs": [],
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+ ],
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+ ],
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+ "audio_rms": 0.020930961676824487,
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+ "audio_fraction_at_or_above_one": 0.0,
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+ "max_adjacent_mean_abs_difference": 6.859555244445801,
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+ "metadata": {
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+ "tool": "PyAV",
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+ "version": "18.1.0",
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+ "duration_seconds": 5.167,
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+ "format": "mov,mp4,m4a,3gp,3g2,mj2",
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+ "streams": [
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+ {
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+ "type": "video",
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+ "codec": "h264",
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+ "frames": 124,
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+ "time_base": "1/12288",
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+ "duration_seconds": 5.166666666666667,
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+ "width": 864,
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+ "height": 480,
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+ "average_rate": "24",
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+ "pixel_format": "yuv420p"
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+ },
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+ {
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+ "type": "audio",
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+ "codec": "aac",
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+ "frames": 163,
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+ "duration_seconds": 5.167,
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+ "sample_rate": 32000,
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+ "channels": 2
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+ }
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+ ]
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+ }
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+ },
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+ "pouring": {
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+ "video_frames": 124,
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+ "duplicate_frame_pairs": [],
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+ 2,
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+ 165888
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+ ],
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+ "audio_sample_rates": [
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+ 32000
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+ ],
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+ "audio_finite": true,
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+ "audio_peak": 1.0200700759887695,
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+ "audio_rms": 0.034978609300774614,
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+ "audio_fraction_at_or_above_one": 1.5070408950617283e-05,
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+ "max_adjacent_mean_abs_difference": 7.98028564453125,
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+ "metadata": {
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+ "tool": "PyAV",
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+ "version": "18.1.0",
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+ "duration_seconds": 5.167,
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+ "format": "mov,mp4,m4a,3gp,3g2,mj2",
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+ "streams": [
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+ {
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+ "type": "video",
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+ "codec": "h264",
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+ "frames": 124,
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+ "time_base": "1/12288",
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+ "duration_seconds": 5.166666666666667,
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+ "width": 864,
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+ "height": 480,
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+ "average_rate": "24",
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+ "pixel_format": "yuv420p"
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+ },
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+ {
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+ "type": "audio",
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+ "codec": "aac",
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+ "frames": 163,
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+ "time_base": "1/32000",
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+ "duration_seconds": 5.167,
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+ "sample_rate": 32000,
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+ "channels": 2
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+ }
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+ ]
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+ }
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+ }
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+ }
benchmark-data/stock-runtime-parity-final.json ADDED
The diff for this file is too large to render. See raw diff
 
benchmark-data/stock-runtime-parity.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints.lock.json ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "base_model": {
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+ "repository": "MiniMaxAI/MiniMax-H3",
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+ "revision": "42ed227ee7df40d41602854ae760620d6eb651fe",
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+ "license": "MiniMax-H3 Community License"
6
+ },
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+ "files": [
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+ {
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+ "repository": "Comfy-Org/MiniMax-H3",
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+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
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+ "file": "diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
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+ "destination": "diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
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+ "bytes": 20970379616,
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+ "sha256": "e889202c41dafb67b10d67b97f0d8541508036a6090af23425a5c2615d03c47a",
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+ "int8-reference"
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+ ]
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+ },
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+ {
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+ "repository": "Comfy-Org/MiniMax-H3",
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+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
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+ "file": "text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
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+ "destination": "text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
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+ "bytes": 15687142551,
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+ "sha256": "35a88d51044231fe332301d7a62aa81e3f2cba62febeb446e2c1e3e0ef76f2c6",
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+ "profiles": [
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+ "base20",
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+ "turbo8",
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+ "turbo4"
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+ ]
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+ },
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+ {
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+ "repository": "Comfy-Org/MiniMax-H3",
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+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
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+ "file": "vae/minimax_h3_video_vae_fp16.safetensors",
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+ ]
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+ "revision": "a98869194787969724c7425d95d0ed73ce9202af",
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+ "file": "vae/minimax_h3_audio_vae_fp32.safetensors",
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+ "turbo4"
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+ },
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+ {
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+ "repository": "starsfriday/MiniMax-H3-w4a8",
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+ "revision": "2a5ad5871296af3506fda7c5edd571612253cedb",
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+ "file": "minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
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+ "destination": "diffusion_models/minimax_h3_fl2va_pruned_w4a8_mixed.safetensors",
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+ "profiles": [
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+ "base20",
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+ "turbo8",
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+ "turbo4"
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+ ]
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+ },
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+ {
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+ "repository": "Kijai/MiniMax-H3-experimental",
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+ "revision": "f4cac997f880e93cf6940af61ee8d58ef31ff7f3",
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+ "file": "minimax_h3_video_vae_int8_convrot.safetensors",
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+ "destination": "vae/minimax_h3_video_vae_int8_convrot.safetensors",
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+ "bytes": 3171670912,
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+ "sha256": "9bb2d96f218c76babd85e0611b85ca8fb330a90546c01a0005e8a58a59593410",
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+ "profiles": [
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+ "base20",
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+ "turbo8",
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+ "turbo4"
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+ ]
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+ },
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+ {
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+ "repository": "lightx2v/Minimax-h3-Turbo",
84
+ "revision": "2f015e66b37c585cea9dc4ae6f1850ea8788e742",
85
+ "file": "minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors",
86
+ "destination": "loras/minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors",
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+ "bytes": 1956193000,
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+ "sha256": "08cfe946033af7d27719b964b6e0a0e50c32138daabbd6ce4137e23df6bf9980",
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+ "profiles": [
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+ "turbo8"
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+ ]
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+ },
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+ {
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+ "repository": "lightx2v/Minimax-h3-Turbo",
95
+ "revision": "2f015e66b37c585cea9dc4ae6f1850ea8788e742",
96
+ "file": "minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",
97
+ "destination": "loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",
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+ "bytes": 1956192992,
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+ "sha256": "c396a9a06f58399e9df9754b18299818d84a2ddd371724ba48fe4a41221437dc",
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+ "profiles": [
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+ "turbo4"
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+ ]
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+ }
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+ ]
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+ }
comfyui/paiton_h3/__init__.py ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """H3 artifact selection and explicit, separate video/audio VAE precisions."""
2
+ from pathlib import Path
3
+ import torch
4
+ import folder_paths
5
+ import comfy.sd
6
+ import comfy.utils
7
+ from paiton_video import projection
8
+
9
+
10
+ class PaitonH3Optimize:
11
+ @classmethod
12
+ def INPUT_TYPES(cls):
13
+ return {"required":{"model":("MODEL",),"engine":(["paiton","stock"],)}}
14
+ RETURN_TYPES=("MODEL",)
15
+ FUNCTION="apply"
16
+ CATEGORY="Paiton/video"
17
+
18
+ def apply(self,model,engine):
19
+ from comfy.ldm.minimax.model import MiniMaxH3Model
20
+ if not isinstance(model.model.diffusion_model,MiniMaxH3Model):
21
+ raise ValueError("Paiton H3 requires a MiniMax H3 model")
22
+ if engine=="stock":
23
+ return (model,)
24
+ if projection._launch is None:
25
+ artifact=Path(projection.__file__).resolve().parents[1]/"artifacts/minimax_h3_projections_gfx1201.so"
26
+ projection.install_projections(artifact)
27
+ result=model.clone()
28
+ previous=result.model_options.get("model_function_wrapper")
29
+ def wrapper(model_function,arguments):
30
+ with projection.projection_scope():
31
+ if previous is not None:
32
+ return previous(model_function,arguments)
33
+ return model_function(arguments["input"],arguments["timestep"],**arguments["c"])
34
+ result.set_model_unet_function_wrapper(wrapper)
35
+ return (result,)
36
+
37
+
38
+ class PaitonH3VAELoader:
39
+ @classmethod
40
+ def INPUT_TYPES(cls):
41
+ return {"required":{"component":(["video","audio"],)}}
42
+ RETURN_TYPES=("VAE",)
43
+ FUNCTION="load"
44
+ CATEGORY="Paiton/video"
45
+
46
+ def load(self,component):
47
+ name=("minimax_h3_video_vae_int8_convrot.safetensors" if component=="video"
48
+ else "minimax_h3_audio_vae_fp32.safetensors")
49
+ sd,metadata=comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae",name),return_metadata=True)
50
+ return (comfy.sd.VAE(sd=sd,metadata=metadata,
51
+ dtype=torch.bfloat16 if component=="video" else torch.float32),)
52
+
53
+
54
+ NODE_CLASS_MAPPINGS={"PaitonH3Optimize":PaitonH3Optimize,"PaitonH3VAELoader":PaitonH3VAELoader}
55
+ NODE_DISPLAY_NAME_MAPPINGS={"PaitonH3Optimize":"MiniMax H3 Engine","PaitonH3VAELoader":"MiniMax H3 VAE"}
56
+
57
+ WEB_DIRECTORY="./web"
comfyui/paiton_h3/web/start.js ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import { app } from "../../../scripts/app.js";
2
+
3
+ app.registerExtension({
4
+ name: "Paiton.H3.Welcome",
5
+ async afterConfigureGraph() {
6
+ if (!new URLSearchParams(location.search).has("paiton") ||
7
+ localStorage.getItem("paiton.h3.started")) return;
8
+ localStorage.setItem("paiton.h3.started", "1");
9
+ try {
10
+ await app.ui.settings.setSettingValue("Comfy.TutorialCompleted", true);
11
+ const preset = new URLSearchParams(location.search).get("preset") === "turbo4" ? "turbo4" : "turbo8";
12
+ const workflow = preset === "turbo4" ? "turbo4.json" : "turbo8-15s.json";
13
+ const response = await fetch(`/api/workflow_templates/paiton_h3/${workflow}`);
14
+ if (!response.ok) throw new Error("Paiton workflow unavailable");
15
+ await app.loadGraphData(await response.json());
16
+ const prompt = app.graph._nodes.find(node => node.type === "MiniMaxH3ImageToVideo");
17
+ if (prompt) {
18
+ app.canvas.ds.changeScale(0.85);
19
+ app.canvas.centerOnNode(prompt);
20
+ }
21
+ } catch (error) {
22
+ localStorage.removeItem("paiton.h3.started");
23
+ console.error(error);
24
+ }
25
+ },
26
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