Add Better Motion LTX/Minimax H3

.gitattributes

@@ -125,3 +125,11 @@ oiia-spinning-cat/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -tex
 oiia-spinning-cat/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
 oiia-spinning-cat/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
 oiia-spinning-cat/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/01_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/02_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/05_poster.jpg filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/07_poster.jpg filter=lfs diff=lfs merge=lfs -text
+better-motion-ltx-minimax-h3/example_images/07_video.mp4 filter=lfs diff=lfs merge=lfs -text

better-motion-ltx-minimax-h3/example_images/01_video.mp4

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better-motion-ltx-minimax-h3/example_images/02_video.mp4

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better-motion-ltx-minimax-h3/example_images/03_video.mp4

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better-motion-ltx-minimax-h3/example_images/05_video.mp4

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better-motion-ltx-minimax-h3/example_images/06_video.mp4

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better-motion-ltx-minimax-h3/example_images/07_video.mp4

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better-motion-ltx-minimax-h3/example_images/SKIPPED.txt

@@ -0,0 +1,2 @@
+1 preview(s) were skipped for exceeding the 60 MB per-file ceiling
+set by media.max_file_mb in config/collection.yaml.

better-motion-ltx-minimax-h3/info.txt

@@ -0,0 +1,247 @@
+═══════════════════════════════════════════════════════════════════════════════
+  BETTER MOTION LTX/MINIMAX H3
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   Text-to-Video (T2V), Image-to-Video (I2V)
+  Checkpoint        ltx-2.3-22b-dev (full / base)
+  Category          Motion quality
+  Author            AdaptiveVision
+  Source            https://civitai.com/models/2734359
+  Provenance        CivitAI · model 2734359 · version 3087364
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              mvmt_lora_v2_600.safetensors
+  Version           v2.0-LTX23
+  Size              643.0 MB
+  Format            SafeTensor / unknown precision
+  SHA256            3cd5aeeff4e079510527650af4c45c1ec8a51495996de34c8d155fe35b6ed6a5
+  Published         2026-07-01
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  No trigger word. The LoRA applies as soon as it is loaded —
+  strength is the only way to dial the effect up or down.
+
+───────────────────────────────────────────────────────────────────────────────
+  RECOMMENDED SETTINGS
+───────────────────────────────────────────────────────────────────────────────
+  Taken verbatim from the author's description:
+
+  LoRA strength       0.4–0.8
+  Sampler steps       15–30
+  Resolution          720x1280
+
+───────────────────────────────────────────────────────────────────────────────
+  ADOPTION & POPULARITY
+───────────────────────────────────────────────────────────────────────────────
+  Downloads               8,322
+  Rating                  100% positive (379/379)
+  Comments                24
+  Published               66 days ago
+  Download rate           50.3/day since release
+
+  Adoption rank           #3 of 150 in this collection  (Top tier)
+  Momentum rank           #2 of 150 by download rate  (Hot)
+
+  Adoption tier is the percentile of total downloads within this collection;
+  momentum is the percentile of downloads-per-day since release. Momentum is
+  ranked rather than measured against a fixed rate, because this base model
+  is itself new and every LoRA looks fast on an absolute scale. Both numbers
+  are CivitAI's, read on the scrape date at the foot of this file.
+
+───────────────────────────────────────────────────────────────────────────────
+  CHAINING / STACKING
+───────────────────────────────────────────────────────────────────────────────
+  Stacks with others      not stated
+
+  The author gave no chaining guidance. The rules below are the
+  general LTX-2.3 ones, not anything specific to this LoRA.
+
+  General LTX-2.3 rules that apply here (see REFERENCE.txt):
+
+  • Stacking an acceleration LoRA with a task LoRA is officially
+    sanctioned: the ID-LoRA template chains LoraLoaderModelOnly(ltx_2.3_22b
+    _distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16, 0.5) into
+    LoraLoaderModelOnly(ltx-2.3-id-lora-talkvid-3k, 1.0) on the dev
+    checkpoint.
+  • The Python CLI exposes `--lora <path> [strength]` as a repeatable flag
+    with default strength 1.0, so multiple adapters at once is a supported
+    configuration, not a hack.
+  • Load the acceleration/distilled LoRA on the dev checkpoint only. The
+    two-stage pipelines require it for the full model but explicitly do not
+    use it for DistilledPipeline, ICLoraPipeline or DubItPipeline, which
+    already run distilled weights.
+  • Do not stack two distillation LoRAs (e.g. the official rank-384 /
+    rank-111 one plus a community DMD LoRA). The DaSiWa DMD LoRA already
+    blends 75-80% of the official distilled delta into its audio-output
+    route and is described by its author as recreating the distilled model
+    on top of stock dev, i.e. a replacement.
+  • IC-LoRAs are not chained like ordinary LoRAs: each carries a
+    reference_downscale_factor in its safetensors metadata and needs a node
+    that reads it (GetICLoRAParameters -> LTXVAddGuide in core, or
+    LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide in ComfyUI-LTXVideo).
+    Without one the factor silently defaults to 1.
+  • Two IC-LoRA reference guides can be driven from a single IC-LoRA: the
+    CrossView Warp author wires both a depth-warp video and the original
+    video into separate reference guides and sets latent_downscale_factor =
+    1 on both.
+  • DubItPipeline accepts exactly one Dub-It IC-LoRA (`--lora` exactly
+    once) and applies it in both stages — that path is single-adapter by
+    design.
+  • Community convention on strengths when stacking: the IC-LoRA Dual-
+    Character author recommends 0.6-1.0 for a content LoRA used alone,
+    dropped to 0.3-0.5 when combined with others.
+  • Some LoRA pairs are designed to be blended against each other — the LTX
+    2.3 Crisp Enhance / Soft Enhance pair is described by its author as
+    "can be used together and balanced at different strengths".
+  • The gemma-3-12b-it-abliterated LoRA is not a video LoRA and does not
+    belong in the DiT chain — it patches the Gemma text encoder through a
+    model+clip LoraLoader, as the official templates wire it.
+  • The full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors
+    is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is
+    what LoRAs are trained against, and what four of the six official
+    ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either
+    real guidance (Lightricks' own single-stage workflow sets LTXVScheduler
+    to 15 steps with MultimodalGuider) or the distill
+
+───────────────────────────────────────────────────────────────────────────────
+  PROS
+───────────────────────────────────────────────────────────────────────────────
+  + Widely adopted — 8,322 downloads. [source: CivitAI stats]
+  + Positively received — 379 thumbs-up with no down-votes. [source:
+    CivitAI stats]
+  + Author documents use across several modes (T2V, I2V). [source:
+    description]
+  + Author published concrete recommended settings. [source: description]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  - Prone to prompt bleeding; author advises short prompts or single words.
+    [source: description]
+  - No trigger word — the LoRA is always on once loaded, so strength is the
+    only control. [source: model metadata]
+  - Large at 643 MB — slower to load and heavier to stack. [source: file
+    size]
+
+───────────────────────────────────────────────────────────────────────────────
+  COMPATIBILITY WARNING
+───────────────────────────────────────────────────────────────────────────────
+  Within LTX-2.3, dev vs distilled is low risk: they are the same
+  architecture and the distillation itself is published as a LoRA that the
+  model card calls "applicable to the full model", so ordinary content LoRAs
+  load on both. Expect style/strength drift rather than breakage; the
+  distilled LoRA is meant to be applied to a dev checkpoint, not stacked on
+  an already-distilled one (the Python pipelines that start from a distilled
+  checkpoint — DistilledPipeline, ICLoraPipeline, DubItPipeline — explicitly
+  do not take --distilled-lora). The genuine risk is cross-version and cross-
+  format, and it is silent rather than a hard error: the LTX-2 repo README
+  states flatly that files "are not interchangeable between the two models,
+  and a LoRA only works with the model it was trained on", and a wrong-
+  version LoRA surfaces only as a stream of "lora key not loaded:
+  diffusion_model...." console warnings while generation proceeds as if no
+  LoRA were attached. The same silent no-op hits correctly-versioned LoRAs
+  saved in a non-ComfyUI key layout: SimpleTuner issue #2349 shows keys like
+  diffusion_model.connectors.audio_connector.transformer_blocks.N.attn1.to_q
+  going unloaded, where the LTX-2 trainer's own layout is attn1/attn2 for
+  video, audio_attn1/audio_attn2 for audio and audio_to_video_attn /
+  video_to_audio_attn for cross-modal. Community finetunes (Sulphur 2, JoyAI-
+  Echo merges) load stock LTX-2.3 LoRAs but shift the result. And an IC-LoRA
+  loaded without a metadata-reading node loses its reference scale: ComfyUI's
+  GetICLoRAParameters reads reference_downscale_factor out of the LoRA's
+  safetensors metadata and silently falls back to 1 when it is absent, so a
+  ref0.5 IC-LoRA wired straight into LTXVAddGuide without it feeds the
+  reference at the wrong latent scale.
+
+───────────────────────────────────────────────────────────────────────────────
+  AUTHOR'S DESCRIPTION
+───────────────────────────────────────────────────────────────────────────────
+  Better motion for LTX/Minimax H3 Smoother human motion and body movement
+  Trained on T2V but supports also I2V 720x1280 resolution with 15-30 steps
+  Weight 0.4-0.8 is recommended ⚠️ Avoid prompt bleeding using shorter
+  sentences or words
+
+───────────────────────────────────────────────────────────────────────────────
+  VERSION NOTES
+───────────────────────────────────────────────────────────────────────────────
+  - Better body movement and rotation
+
+───────────────────────────────────────────────────────────────────────────────
+  EXAMPLE MEDIA
+───────────────────────────────────────────────────────────────────────────────
+  6 preview(s) in ./example_images/ — community results for
+  this LoRA. Videos keep a matching _poster.jpg still frame.
+
+  No prompts are recorded below: CivitAI's public API flags these posts as
+  having generation metadata but does not return it, so the prompts cannot be
+  scraped. Open the model page to read them.
+
+  01_video.mp4  (video, 736x1280)
+      still: 01_poster.jpg
+  02_video.mp4  (video, 736x1280)
+      still: 02_poster.jpg
+  03_video.mp4  (video, 736x1280)
+      still: 03_poster.jpg
+  05_video.mp4  (video, 768x1152)
+      still: 05_poster.jpg
+  06_video.mp4  (video, 1408x768)
+      still: 06_poster.jpg
+  07_video.mp4  (video, 768x1216)
+      still: 07_poster.jpg
+
+───────────────────────────────────────────────────────────────────────────────
+  HOW TO USE (COMFYUI)
+───────────────────────────────────────────────────────────────────────────────
+  1. Update ComfyUI. LTX-2.3 is supported in ComfyUI core
+  (comfy_extras/nodes_lt.py provides EmptyLTXVLatentVideo, LTXVAddGuide,
+  GetICLoRAParameters, LTXVConditioning, LTXVScheduler,
+  LTXVConcatAVLatent/LTXVSeparateAVLatent, LTXVReferenceAudio and more) and
+  the six official templates need no custom nodes; install the Lightricks
+  "ComfyUI-LTXVideo" custom node pack only if you want IC-LoRA loaders, low-
+  VRAM loaders, HDR decode, audio-only nodes or Q8 nodes.
+  2. Put the base checkpoint in ComfyUI/models/checkpoints/ —
+  ltx-2.3-22b-dev-fp8.safetensors (29.15 GB) or ltx-2.3-22b-distilled-
+  fp8.safetensors (29.53 GB) from Lightricks/LTX-2.3-fp8, or the bf16
+  originals (46.15 GB) from Lightricks/LTX-2.3. It is a single file that also
+  carries the video VAE, the audio VAE and the text projection.
+  3. Put gemma_3_12B_it_fp4_mixed.safetensors in
+  ComfyUI/models/text_encoders/ (from Comfy-Org/ltx-2). The Python package
+  instead wants the full google/gemma-3-12b-it-qat-q4_0-unquantized folder.
+  4. Put ltx-2.3-spatial-upscaler-x2-1.1.safetensors in
+  ComfyUI/models/latent_upscale_models/ (needed by every two-stage template),
+  and moge_2_vitl_normal_fp16.safetensors (Comfy-Org/MoGe) in
+  ComfyUI/models/geometry_estimation/ if you use the IC-LoRA depth path.
+  5. Put every LoRA .safetensors in ComfyUI/models/loras/. Subfolders are
+  fine — Lightricks' own workflows reference
+  "ltxv/ltx2/ltx-2.3-22b-distilled-lora-384-1.1.safetensors".
+  6. Load a normal content/style LoRA with LoraLoaderModelOnly, wired between
+  CheckpointLoaderSimple's MODEL output and the guider/sampler. In the stock
+  templates you chain it after the distilled-LoRA loader. Use the full
+  LoraLoader (model + clip) only for the gemma-3-12b-it-abliterated LoRA,
+  which patches the Gemma text encoder rather than the video model.
+  7. On a dev checkpoint, also load the acceleration LoRA
+  (ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors
+  at 0.5) unless you intend to run the slow guided path.
+  8. For an IC-LoRA, the LoRA loader alone is not enough: either use
+  LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide (ComfyUI-LTXVideo), or —
+  as the official ic_lora template does — feed the LoRA-loaded model through
+  core's GetICLoRAParameters into LTXVAddGuide, so the
+  reference_downscale_factor stored in the file's safetensors metadata is
+  read instead of defaulting to 1.
+  9. Template Library > Video > any LTX-2.3 workflow gives you correct wiring
+  to start from; workflow JSONs are at Comfy-Org/workflow_templates/templates
+  /video_ltx2_3_{t2v,i2v,ia2v,flf2v,ic_lora,id_lora}.json and
+  Lightricks/ComfyUI-LTXVideo/example_workflows/2.3/.
+
+───────────────────────────────────────────────────────────────────────────────
+  Scraped by lorakit on 2026-09-04 23:13 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

better-motion-ltx-minimax-h3/metadata.json

@@ -0,0 +1,151 @@
+{
+  "name": "Better Motion LTX/Minimax H3",
+  "slug": "better-motion-ltx-minimax-h3",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2734359,
+  "version_id": 3087364,
+  "version_name": "v2.0-LTX23",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2734359",
+  "repo_id": null,
+  "file_path": null,
+  "author": "AdaptiveVision",
+  "category": {
+    "key": "motion",
+    "label": "Motion quality"
+  },
+  "modalities": [
+    "t2v",
+    "i2v"
+  ],
+  "primary_modality": "t2v",
+  "checkpoint_family": "dev",
+  "trigger_words": [],
+  "recommended_settings": {
+    "LoRA strength": "0.4–0.8",
+    "Sampler steps": "15–30",
+    "Resolution": "720x1280"
+  },
+  "chaining": {
+    "author": {
+      "stacks": "not stated",
+      "notes": "",
+      "avoid": [],
+      "requires": [],
+      "order": "",
+      "strength": "",
+      "stated": false
+    },
+    "general_rules": [
+      "Stacking an acceleration LoRA with a task LoRA is officially sanctioned: the ID-LoRA template chains LoraLoaderModelOnly(ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16, 0.5) into LoraLoaderModelOnly(ltx-2.3-id-lora-talkvid-3k, 1.0) on the dev checkpoint.",
+      "The Python CLI exposes `--lora <path> [strength]` as a repeatable flag with default strength 1.0, so multiple adapters at once is a supported configuration, not a hack.",
+      "Load the acceleration/distilled LoRA on the dev checkpoint only. The two-stage pipelines require it for the full model but explicitly do not use it for DistilledPipeline, ICLoraPipeline or DubItPipeline, which already run distilled weights.",
+      "Do not stack two distillation LoRAs (e.g. the official rank-384 / rank-111 one plus a community DMD LoRA). The DaSiWa DMD LoRA already blends 75-80% of the official distilled delta into its audio-output route and is described by its author as recreating the distilled model on top of stock dev, i.e. a replacement.",
+      "IC-LoRAs are not chained like ordinary LoRAs: each carries a reference_downscale_factor in its safetensors metadata and needs a node that reads it (GetICLoRAParameters -> LTXVAddGuide in core, or LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide in ComfyUI-LTXVideo). Without one the factor silently defaults to 1.",
+      "Two IC-LoRA reference guides can be driven from a single IC-LoRA: the CrossView Warp author wires both a depth-warp video and the original video into separate reference guides and sets latent_downscale_factor = 1 on both.",
+      "DubItPipeline accepts exactly one Dub-It IC-LoRA (`--lora` exactly once) and applies it in both stages — that path is single-adapter by design.",
+      "Community convention on strengths when stacking: the IC-LoRA Dual-Character author recommends 0.6-1.0 for a content LoRA used alone, dropped to 0.3-0.5 when combined with others.",
+      "Some LoRA pairs are designed to be blended against each other — the LTX 2.3 Crisp Enhance / Soft Enhance pair is described by its author as \"can be used together and balanced at different strengths\".",
+      "The gemma-3-12b-it-abliterated LoRA is not a video LoRA and does not belong in the DiT chain — it patches the Gemma text encoder through a model+clip LoraLoader, as the official templates wire it.",
+      "The full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is what LoRAs are trained against, and what four of the six official ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either real guidance (Lightricks' own single-stage workflow sets LTXVScheduler to 15 steps with MultimodalGuider) or the distill"
+    ]
+  },
+  "pros": [
+    "Widely adopted — 8,322 downloads. [source: CivitAI stats]",
+    "Positively received — 379 thumbs-up with no down-votes. [source: CivitAI stats]",
+    "Author documents use across several modes (T2V, I2V). [source: description]",
+    "Author published concrete recommended settings. [source: description]"
+  ],
+  "cons": [
+    "Prone to prompt bleeding; author advises short prompts or single words. [source: description]",
+    "No trigger word — the LoRA is always on once loaded, so strength is the only control. [source: model metadata]",
+    "Large at 643 MB — slower to load and heavier to stack. [source: file size]"
+  ],
+  "file": {
+    "name": "mvmt_lora_v2_600.safetensors",
+    "size_bytes": 674249616,
+    "size_mb": 643.01,
+    "sha256": "3cd5aeeff4e079510527650af4c45c1ec8a51495996de34c8d155fe35b6ed6a5"
+  },
+  "stats": {
+    "downloads": 8322,
+    "thumbs_up": 379,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 8322,
+    "thumbs_up": 379,
+    "thumbs_down": 0,
+    "comments": 24,
+    "approval": "100% positive (379/379)",
+    "age_days": 65.7,
+    "downloads_per_day": 50.33,
+    "rank_by_downloads": 3,
+    "rank_by_momentum": 2,
+    "of_total": 150,
+    "adoption_tier": "Top tier",
+    "momentum": "Hot"
+  },
+  "selection_score": 12870.0,
+  "selection_reasons": [
+    "8,322 downloads",
+    "379 thumbs-up",
+    "covers i2v"
+  ],
+  "example_media": [
+    {
+      "file": "01_video.mp4",
+      "type": "video",
+      "resolution": "736x1280",
+      "prompt": "",
+      "poster": "01_poster.jpg"
+    },
+    {
+      "file": "02_video.mp4",
+      "type": "video",
+      "resolution": "736x1280",
+      "prompt": "",
+      "poster": "02_poster.jpg"
+    },
+    {
+      "file": "03_video.mp4",
+      "type": "video",
+      "resolution": "736x1280",
+      "prompt": "",
+      "poster": "03_poster.jpg"
+    },
+    {
+      "file": "05_video.mp4",
+      "type": "video",
+      "resolution": "768x1152",
+      "prompt": "",
+      "poster": "05_poster.jpg"
+    },
+    {
+      "file": "06_video.mp4",
+      "type": "video",
+      "resolution": "1408x768",
+      "prompt": "",
+      "poster": "06_poster.jpg"
+    },
+    {
+      "file": "07_video.mp4",
+      "type": "video",
+      "resolution": "768x1216",
+      "prompt": "",
+      "poster": "07_poster.jpg"
+    }
+  ],
+  "tags": [
+    "concept",
+    "i2v",
+    "t2v",
+    "lora",
+    "minimax",
+    "h3",
+    "ltx"
+  ],
+  "scraped_at": "2026-09-04T23:13:39+00:00",
+  "path": "ltxv-2.3/better-motion-ltx-minimax-h3"
+}

better-motion-ltx-minimax-h3/mvmt_lora_v2_600.safetensors

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+size 674249616