Duplicate from drbaph/MiniMax-H3-Turbo-Lora-ComfyUI

Co-authored-by: DRBAPH <drbaph@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: Comfy-Org/MiniMax-H3
+base_model_relation: adapter
+pipeline_tag: text-to-video
+tags:
+  - minimax-h3
+  - lora
+  - adapter
+  - comfyui
+  - pruned
+  - pruned-model
+  - curve-form
+  - text-to-video
+  - text-to-audio
+  - audio-video
+  - video-generation
+  - audio-generation
+  - synchronized-audio
+  - four-step
+  - 4-step
+  - turbo
+  - accelerated-inference
+  - further-trained
+  - checkpoint-500
+  - safetensors
+  - bfloat16
+  - bf16
+  - partial-conversion
+---
+
+# MiniMax-H3 Turbo 4-Step — ComfyUI Pruned-Model LoRAs
+
+This repository contains third-party ComfyUI compatibility conversions of the original **MiniMax-H3 Turbo LoRA — 4-step audio-video generation preview** created by **[larryvrh](https://huggingface.co/larryvrh)**.
+
+It also includes two **further-trained checkpoint-500 variants** in the same pruned-model ComfyUI format.
+
+These LoRAs are intended for the **pruned/curve-form MiniMax-H3 checkpoint used by ComfyUI**.
+
+**also check https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo**
+
+## ComfyUI Test Output
+
+<video
+  src="https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4"
+  controls
+  loop
+  width="100%">
+</video>
+
+[Download the ComfyUI workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
+
+![ComfyUI workflow screenshot](https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/zfVV_yKP-njnOrGinGy8K.png)
+
+## Original Project
+
+The original LoRA weights, training work, four-step distillation method, dual video/audio sampling implementation, documentation and source files were created and released by **larryvrh**:
+
+**Original repository:**  
+[larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
+
+I did **not** train, distill or create the original Turbo LoRA weights. This repository provides modified compatibility versions intended to allow the compatible LoRA adapters to load with ComfyUI's built-in MiniMax-H3 LoRA loader when using the pruned/curve-form model.
+
+Full credit for the original MiniMax-H3 Turbo LoRA and its distillation method belongs to **larryvrh**.
+
+## Included Files
+
+| File | Description |
+|---|---|
+| `minimax_h3_turbo_4step_pruned_comfyui.safetensors` | Initial partial ComfyUI compatibility conversion of the original non-EMA Turbo weights for the pruned/curve-form MiniMax-H3 checkpoint. The original author describes the non-EMA weights as crisper and better at holding fast motion. |
+| `minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors` | Initial partial ComfyUI compatibility conversion of the original EMA Turbo weights for the pruned/curve-form MiniMax-H3 checkpoint. The original author describes the early EMA weights as smoother but softer because the EMA had not fully matured. |
+| `minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors` | Further-trained checkpoint-500 non-EMA variant in the pruned-model ComfyUI format. This continues training beyond the initial preview checkpoint. |
+| `minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors` | Further-trained checkpoint-500 EMA variant in the pruned-model ComfyUI format. This contains the time-averaged weights from the further-trained checkpoint. |
+| `fl_minimax_h3_turbo_lora_example_workflow.json` | First-and-last-frame ComfyUI example workflow using the Turbo LoRA, with optional attention and memory optimizations. |
+
+The EMA and non-EMA files remain separate and contain different tensor values.
+
+The original converted files preserve the initial preview weights, while the `ckpt500` files provide the further-trained variants.
+
+These are partial compatibility versions of the original full-model Turbo LoRAs for use with the pruned/curve-form MiniMax-H3 architecture.
+
+## Which File Should I Use?
+
+For the further-trained weights, start with:
+
+`minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors`
+
+Use the further-trained EMA variant for comparison:
+
+`minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors`
+
+The two files without `ckpt500` preserve the earlier preview versions:
+
+- `minimax_h3_turbo_4step_pruned_comfyui.safetensors`
+- `minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors`
+
+The non-EMA variants generally preserve a sharper response and stronger fast-motion behavior, while the EMA variants are intended to provide smoother time-averaged weights.
+
+## About the Original Turbo LoRA
+
+The original MiniMax-H3 Turbo LoRA is an early preview checkpoint designed to generate joint video and synchronized stereo audio in approximately **4 sampling steps instead of the usual approximately 20 steps**, providing roughly a **5× reduction in sampling wall-clock time**.
+
+The original author clearly states that the initial release is an unfinished preview checkpoint from an in-progress training run:
+
+- it is under-trained;
+- the initial EMA weights have not fully matured;
+- quality is not representative of a completed run;
+- it is intended as an early demonstration of the direction of the project.
+
+The additional `ckpt500` files in this repository are further-trained variants beyond that initial preview checkpoint.
+
+Refer to the original repository for the original author's documentation, generation script, scheduler implementation and future updates:
+
+[larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
+
+## Why This Conversion Was Made
+
+The original Turbo LoRA files use tensor keys such as:
+
+`blocks.0.attn.qkv_proj.lora_A.weight`
+
+ComfyUI's built-in MiniMax-H3 LoRA resolver expects keys under the model namespace:
+
+`diffusion_model.blocks.0.attn.qkv_proj.lora_A.weight`
+
+Without that namespace, ComfyUI reports warnings such as:
+
+`[WARNING] lora key not loaded: blocks.0.attn.out_proj.lora_A.weight`
+
+The following namespace conversion was applied to the retained tensors:
+
+- `blocks.*` → `diffusion_model.blocks.*`
+- `token_refiner.*` → `diffusion_model.token_refiner.*`
+
+The retained tensor values, BF16 dtype, tensor shapes, LoRA rank and A/B orientation were preserved.
+
+## Conversion Details
+
+Each original full-model Turbo LoRA contained:
+
+| Component | Count |
+|---|---:|
+| Source tensors | 518 |
+| Source LoRA A/B pairs | 259 |
+
+Each pruned-model compatibility conversion contains:
+
+| Component | Count |
+|---|---:|
+| Retained tensors | 416 |
+| Retained LoRA A/B pairs | 208 |
+| Pruned AdaLN tensors | 102 |
+| Pruned AdaLN A/B pairs | 51 |
+
+The pruned adapters were:
+
+- 50 AdaLN projection pairs from `blocks.0` through `blocks.49`;
+- 1 AdaLN projection pair from `final_layer.adaln_proj.linear`.
+
+The retained adapters include:
+
+- all main-block attention adapters;
+- all main-block MLP adapters;
+- all token-refiner attention adapters;
+- all token-refiner MLP adapters.
+
+The retained attention, MLP and token-refiner tensors have dimensions compatible with the pruned/curve-form MiniMax-H3 checkpoint.
+
+## Validation
+
+The converted LoRA structure was checked for:
+
+- complete LoRA A/B adapter pairs;
+- no orphan A or B tensors;
+- retained keys using the `diffusion_model.*` namespace;
+- no duplicated `diffusion_model.diffusion_model.*` prefixes;
+- no incompatible `adaln_proj` tensors;
+- preserved BF16 dtype;
+- preserved tensor shapes;
+- preserved LoRA ranks;
+- separate EMA and non-EMA weights;
+- no unresolved retained keys during ComfyUI loader-level validation.
+
+The original source files were not overwritten.
+
+The LoRAs have been tested working in ComfyUI with the following optional acceleration methods:
+
+- **SageAttention**
+- **Sol Attention**
+- **Gradient**
+- **Spectrum**
+
+These acceleration methods are optional and are not included in this repository.
+
+## Important Limitation
+
+These files are **partial ComfyUI compatibility versions for the pruned/curve-form MiniMax-H3 checkpoint**.
+
+The further-trained `ckpt500` variants improve upon the initial compatibility versions, 
+
+## Usage
+
+Place the LoRA files inside:
+
+`ComfyUI/models/loras/`
+
+Use them with the **pruned/curve-form MiniMax-H3 checkpoint for ComfyUI**.
+
+Recommended further-trained version:
+
+`minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors`
+
+Further-trained EMA version:
+
+`minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors`
+
+Suggested ComfyUI settings:
+
+- Video sigma shift: `12`
+- Audio sigma shift: `4-6`
+- Steps tested working: `8–10` / `6-8` (ckpt500)
+- Recommended sampler: `res_multistep`
+- Suggested LoRA strength: `0.8–1.8`
+- A higher LoRA strength can generally be used with fewer sampling steps
+- Use the same prompt, seed, resolution, model checkpoint, sampler and workflow when comparing files
+
+Optional accelerators confirmed working:
+
+- **SageAttention**
+- **Sol Attention**
+- **Gradient**
+- **Spectrum**
+
+Do not assume broken audio is caused by the LoRA before checking the sampler, scheduler and audio sigma-shift configuration.
+
+## Audio and Scheduler Notes
+
+MiniMax-H3 generates video and synchronized audio as separate streams with different scheduling requirements.
+
+The original author's standalone generation implementation uses a dual video/audio scheduling system specifically designed for ultra-low-step generation.
+
+For this ComfyUI pruned-model version, the tested settings are:
+
+- Video sigma shift: `12`
+- Audio sigma shift: `4-6`
+- Steps: `8–10` / `6-8` (ckpt500)
+- Sampler: `res_multistep`
+
+Incorrect audio scheduling may result in:
+
+- blown-out audio;
+- severe distortion;
+- noise-like audio;
+- unstable audio energy;
+- completely broken audio.
+
+For the original full-model settings, model files, resolution guidance, frame-count rules and dual-scheduler implementation, follow the original README:
+
+[larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
+
+## Attribution
+
+Original MiniMax-H3 Turbo LoRA author:
+
+**[larryvrh](https://huggingface.co/larryvrh)**
+
+Original project:
+
+**[MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)**
+
+This repository contains third-party, partial ComfyUI compatibility versions for the pruned/curve-form MiniMax-H3 checkpoint, including further-trained checkpoint-500 variants.
+
+I do not claim authorship of:
+
+- the original Turbo LoRA weights;
+- the original LoRA training;
+- the original distillation method;
+- the original four-step sampling method;
+- the original dual video/audio scheduler;
+- the original `generate.py`;
+- the original documentation;
+- the MiniMax-H3 base model;
+- the pruned/curve-form MiniMax-H3 checkpoint.
+
+Please retain attribution to **larryvrh** and comply with the licences and terms of the original LoRA and MiniMax-H3 base model when using or redistributing these files.

assets/MiniMax_H3_00060-audio.mp4

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+          "name": "positive",
+          "type": "CONDITIONING",
+          "links": [
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+        {
+          "name": "LATENT",
+          "type": "LATENT",
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+        "Node name for S&R": "MiniMaxH3ImageToVideo",
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+        "subject_definitions:\n<Subject 1> is the young male barber in <Picture 2>, preserving his short dark curly hair, neatly shaped beard, black barber shirt, focused expression, and calm professional manner. He works with gentle, sensitive, highly controlled movements and uses one small hand-held spray bottle, thin dainty precision scissors, a soft brush, and a small handheld mirror.\n\n<Subject 2> is the seagull in <Picture 1> and <Picture 2>, preserving its white-and-grey feathers, yellow beak, alert round eyes, and black barber cape. Its hair begins long, wild, tangled, and uneven like <Picture 1>, then gradually becomes the soft, neat, rounded, suave hairstyle shown in <Picture 2>. The seagull remains calm, comfortable, and completely unharmed. During the haircut it occasionally blinks and often keeps its eyes semi-closed as if enjoying the relaxing treatment.\n\n<Subject 3> is the modern dark barbershop from the reference images, featuring black walls, mirrors, professional lighting, barber tools, and a clean cinematic atmosphere.\n\nsummary:\n[reference generation] The target video is an exactly 18-second photorealistic comedic ASMR haircut sequence. <Subject 1> gently approaches <Subject 2>, lightly wets the messy hair using one spray bottle, and then slowly trims only the tips of the longer wet strands using thin dainty precision scissors. A tasteful time-lapse montage shows him moving around the chair and refining different sections little by little. He lightly re-wets the hair once more, uses only a very small subtle dusting of powder, then softly brushes the finished hairstyle until it looks smooth, bouncy, and suave, finally holding a mirror up for the seagull to admire the result.\n\nretention_analysis:\n<Subject 1> (appears throughout after entering): fully_preserved - retain the barber’s identity, hairstyle, beard, black clothing, delicate professional handling, and calm gentle behaviour.\n\n<Subject 2> (appears throughout): fully_preserved - retain the seagull’s identity, feathers, beak, eyes, cape, and natural anatomy while transforming only the hairstyle from wild and overgrown to neat, rounded, bouncy, and suave.\n\n<Subject 3> (appears throughout): fully_preserved - maintain the dark modern barbershop, mirrors, tools, lighting, and realistic depth.\n\ndetailed_description:\nThe target video uses a photorealistic cinematic ASMR style with shallow depth of field, crisp macro detail, natural professional barber movements, gentle comedy, and no dialogue or background music. Do not use electric clippers.\n\n[Shot 1] The video opens on <Subject 2> sitting alone beneath the black barber cape with extremely wild, long, uneven hair sticking out in every direction, matching <Picture 1>. The seagull blinks calmly. <Subject 1> then steps into frame behind the chair holding one small spray bottle and a pair of thin, delicate barber scissors.\n\n[Shot 2] At 00:02.000, cut to a tight close-up as <Subject 1> gently wets the hair using the single spray bottle. He gives two or three soft, separate squirts, each one light and controlled rather than harsh or excessive. Droplets settle into the hair, making it visibly damp and easier to shape. The seagull slowly lowers its eyelids, appearing relaxed.\n\n[Shot 3] At 00:04.000, cut to an ultra-close macro shot of the thin scissor tips. The barber trims only the very ends of the wet longer strands. The pace is slow, sensitive, and precise, like a real careful barber doing finishing work: snip... pause... snip... pause... snip. The blades are slim and dainty, never bulky. The camera stays tightly focused on the scissor tips, fingertips, wet strands, and tiny cut ends falling softly. The sound of the scissors cutting damp hair is crisp, intimate, and relaxing.\n\n[Shot 4] At 00:07.000, begin a smooth time-lapse montage. <Subject 1> moves naturally around both sides and behind the seagull, gently lifting sections, trimming tiny amounts from different areas, checking the shape, and refining the outline little by little. The seagull remains still with its eyes semi-closed, occasionally blinking as if enjoying the pampering. The messy hairstyle gradually becomes more balanced, rounded, and stylish.\n\n[Shot 5] At 00:11.000, during the time-lapse, the barber lightly re-wets the hair again with the same spray bottle using one or two soft squirts, then continues making tiny slow finishing snips. He never removes too much at once. The hairstyle becomes smooth, soft, and refined rather than short or overly cut.\n\n[Shot 6] At 00:13.500, return to normal speed in a close macro angle. <Subject 1> applies only a very small, subtle puff of barber powder, just enough to lightly dust the hair without creating a large cloud. He then gently brushes away any loose strands with a soft barber brush.\n\n[Shot 7] At 00:15.000, a close front angle shows the barber brushing and styling the hair with soft controlled strokes. The hair settles into a clean, rounded, suave shape with a soft bounce. The seagull’s eyes remain partially closed, calm and content.\n\n[Shot 8] At 00:17.000, <Subject 1> holds a small handheld mirror in front of <Subject 2>. The seagull looks at its reflection, opens its eyes, gives one slow satisfied blink, and subtly lifts its head with a proud expression. The barber smiles behind it as the finished hairstyle gives one final soft bouncy settle. End exactly at 00:18.000.\n\noverall_soundscape:\nDetailed close-range relaxing ASMR audio: soft trigger-sound spray bottle squirts from a single bottle, water settling into hair, extremely crisp slow scissor snips, the delicate sound of thin scissors cutting wet hair, faint hair strands falling, gentle barber hand movement, light brushing, a very soft minimal powder puff, feather rustling, cape fabric movement, quiet mirror handling, and subtle low barbershop room tone. Keep the audio intimate, soothing, and highly synchronized.\n\nnon_diegetic_music:\nN/A",
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+    {
+      "id": 146,
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+      "inputs": [
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+          "type": "IMAGE",
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+      ],
+      "outputs": [
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+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
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+      "properties": {
+        "ue_properties": {
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+          "type": "IMAGE",
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+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            261
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.30.0",
+        "Node name for S&R": "ImageScaleToTotalPixels",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "nearest-exact",
+        1,
+        32
+      ]
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+    {
+      "id": 117,
+      "type": "MarkdownNote",
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+        4292.809068762916
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+        680
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Note: Model Links",
+      "properties": {
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
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+        "## Model Links\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 vae/\n│   │   ├── minimax_h3_video_vae_fp16.safetensors\n│   │   └── minimax_h3_audio_vae_fp32.safetensors\n│   ├── 📂 diffusion_models/\n│   │   └── minimax_h3_fl2va_pruned_int8_convrot.safetensors\n│   └── 📂 text_encoders/\n│       └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
+    {
+      "id": 116,
+      "type": "MarkdownNote",
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+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Note: MiniMax H3",
+      "properties": {
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## About this workflow\n\nThis template runs the **Image to Video** task (`MiniMaxH3ImageToVideo` node), which covers both:\n\n- **t2va** (text-to-video), when no images are connected\n- **fl2va** (first/last-frame image-to-video), when `first_frame` and/or `last_frame` are connected\n\n**Key inputs**\n\n- **first_frame / last_frame**: optional keyframes; the model generates the motion between them\n- **prompt**: describe the shots, motion, and the accompanying audio (dialogue, SFX, music) in one block\n- **width / height**: set via Resolution Selector. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
+    {
+      "id": 137,
+      "type": "MiniMaxH3MemoryEfficientSageAttentionPatch",
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+      "mode": 4,
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+          "type": "MODEL",
+          "link": 251
+        }
+      ],
+      "outputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "links": [
+            252
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-kjnodes",
+        "ver": "1289b52fbb6d64a339a4047b9ea74cf7758ccf1e",
+        "Node name for S&R": "MiniMaxH3MemoryEfficientSageAttentionPatch",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {},
+          "version": "7.8"
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+      "widgets_values": []
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+    {
+      "id": 140,
+      "type": "ModelPreviewOverrideKJ",
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+          "type": "MODEL",
+          "link": 254
+        },
+        {
+          "name": "vae",
+          "shape": 7,
+          "type": "VAE",
+          "link": null
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+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            263
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-kjnodes",
+        "ver": "6edfa76599c13905968841b81309784a7dbb7803",
+        "Node name for S&R": "ModelPreviewOverrideKJ",
+        "ue_properties": {
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+          "input_ue_unconnectable": {},
+          "version": "7.8"
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+      "widgets_values": [
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+        80,
+        true,
+        360,
+        8,
+        "taeh3.safetensors",
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+    },
+    {
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+      "type": "ResolutionSelector",
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+      "flags": {},
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+      "mode": 0,
+      "showAdvanced": false,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "width",
+          "type": "INT",
+          "links": [
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+        },
+        {
+          "name": "height",
+          "type": "INT",
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+      "properties": {
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+        "ue_properties": {
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+        {
+          "name": "FLOAT",
+          "type": "FLOAT",
+          "links": [
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+          ]
+        }
+      ],
+      "title": "Float (duration)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.30.0",
+        "Node name for S&R": "PrimitiveFloat",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
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+      "properties": {
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+            "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors",
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+      "properties": {
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+        "ue_properties": {
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+        "models": [
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+            "name": "minimax_h3_video_vae_fp16.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors",
+            "directory": "vae"
+          }
+        ]
+      },
+      "widgets_values": [
+        "minimax_h3_video_vae_fp16.safetensors"
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+    },
+    {
+      "id": 142,
+      "type": "DiffusionModelLoaderKJ",
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+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "extra_state_dict",
+          "shape": 7,
+          "type": "STRING",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            266
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-kjnodes",
+        "ver": "dcfcb5dc9bad14912272cedd351cbb377bd27a22",
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