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minimax-h3-movie.json

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+{"id":"mmh3-movie-ref2va-turbo-01","revision":0,"last_node_id":165,"last_link_id":320,"nodes":[{"id":116,"type":"MarkdownNote","pos":[-2500,80],"size":[520,1270],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"Note: How this movie graph works","properties":{"Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## MiniMax H3 — local movie (Ref2VA + turbo)\n\nThis graph generates a **scene** (5–15s, 24 fps, native stereo audio) from:\n- character stills\n- a background still\n- spoken voice takes\n- BGM\n\nH3 does **not** composite a full feature in one pass. One run is one scene. Save the last frame, feed it back as an extra picture, and stitch scenes later.\n\n### Wire order (tags must match)\nImages become `<Picture 1>` … in connection order.\nStandalone audio becomes `<Audio 1>` … in connection order.\n\n| Socket | Tag | Job |\n|---|---|---|\n| Character A | `<Picture 1>` | identity of speaker S1 |\n| Character B | `<Picture 2>` | identity of speaker S2 |\n| Background | `<Picture 3>` | set / location |\n| Voice A | `<Audio 1>` | timbre for S1 (do **not** copy the take) |\n| Voice B | `<Audio 2>` | timbre for S2 |\n| BGM | `<Audio 3>` | score *style* (reference, not 1:1 copy unless you say `fully_copy`) |\n\nReplace the three stills and the three audio files, then edit the prompt. Keep the `<Picture N>` / `<Audio N>` tags.\n\n### Length / canvas\n- Duration snaps to H3's **17k+5** frame grid at 24 fps (10s → 243 frames).\n- Native movie canvas: **1344×768** (`0.98` MP, 16:9). Drop megapixels to `0.4` (864×480) for previews.\n- `ref_image_size = max` keeps character identity stronger (slower). Use `match` if VRAM is tight.\n\n### Chaining scenes\n1. Run this graph.\n2. `last_frame` is written under `output/minimax_h3_movie/`.\n3. Load that frame as an extra picture on the next run and write `the shot begins from <Picture 4>`.\n4. Concatenate the MP4s (Merge Videos / any NLE).\n\n\n### Latent upscale (two-pass)\nThis graph now follows the [LBH-123-AI R2V template](https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler/tree/main/workflow_templates):\n\n1. Sample the scene at **low res** (default 0.4 MP / 864×480).\n2. Split the AV latent. Upscale **video only** with **Minimax H3 Latent Upscaler (3D)**.\n3. Re-pack audio (unchanged) + upscaled video.\n4. **3-step euler refine** at the target size (`ManualSigmas` `0.9035, 0.6316, 0.3158, 0.0000`).\n5. Decode and save.\n\nFirst-pass megapixels are the Resolution Selector. Target size is **target_megapixels** (default **0.98** = 1344×768). Set it to `2.0` for ~1920×1088. This saves time, not VRAM — the refine still runs at the target resolution.\n"],"widgets_values_named":{"text":"## MiniMax H3 — local movie (Ref2VA + turbo)\n\nThis graph generates a **scene** (5–15s, 24 fps, native stereo audio) from:\n- character stills\n- a background still\n- spoken voice takes\n- BGM\n\nH3 does **not** composite a full feature in one pass. One run is one scene. Save the last frame, feed it back as an extra picture, and stitch scenes later.\n\n### Wire order (tags must match)\nImages become `<Picture 1>` … in connection order.\nStandalone audio becomes `<Audio 1>` … in connection order.\n\n| Socket | Tag | Job |\n|---|---|---|\n| Character A | `<Picture 1>` | identity of speaker S1 |\n| Character B | `<Picture 2>` | identity of speaker S2 |\n| Background | `<Picture 3>` | set / location |\n| Voice A | `<Audio 1>` | timbre for S1 (do **not** copy the take) |\n| Voice B | `<Audio 2>` | timbre for S2 |\n| BGM | `<Audio 3>` | score *style* (reference, not 1:1 copy unless you say `fully_copy`) |\n\nReplace the three stills and the three audio files, then edit the prompt. Keep the `<Picture N>` / `<Audio N>` tags.\n\n### Length / canvas\n- Duration snaps to H3's **17k+5** frame grid at 24 fps (10s → 243 frames).\n- Native movie canvas: **1344×768** (`0.98` MP, 16:9). Drop megapixels to `0.4` (864×480) for previews.\n- `ref_image_size = max` keeps character identity stronger (slower). Use `match` if VRAM is tight.\n\n### Chaining scenes\n1. Run this graph.\n2. `last_frame` is written under `output/minimax_h3_movie/`.\n3. Load that frame as an extra picture on the next run and write `the shot begins from <Picture 4>`.\n4. Concatenate the MP4s (Merge Videos / any NLE).\n\n\n### Latent upscale (two-pass)\nThis graph now follows the [LBH-123-AI R2V template](https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler/tree/main/workflow_templates):\n\n1. Sample the scene at **low res** (default 0.4 MP / 864×480).\n2. Split the AV latent. Upscale **video only** with **Minimax H3 Latent Upscaler (3D)**.\n3. Re-pack audio (unchanged) + upscaled video.\n4. **3-step euler refine** at the target size (`ManualSigmas` `0.9035, 0.6316, 0.3158, 0.0000`).\n5. Decode and save.\n\nFirst-pass megapixels are the Resolution Selector. Target size is **target_megapixels** (default **0.98** = 1344×768). Set it to `2.0` for ~1920×1088. This saves time, not VRAM — the refine still runs at the target resolution.\n"},"color":"#222","bgcolor":"#000"},{"id":117,"type":"MarkdownNote","pos":[-2500,1040],"size":[520,780],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"Note: Models on this machine","properties":{"Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## Models on this machine\n\n**Diffusion (Ref2VA, required for image/audio refs)**\n`unet/minimax/h3/ref2va-pruned-int8.safetensors`\n\nDo **not** use the FL2VA unet here. FL2VA is t2v / first-last-frame only.\n\n**Text encoder**\n`clip/qwen/3/vl-32B-nvfp4-awq.safetensors` — CLIPLoader type must be `minimax`\n\n**VAEs**\n- video: `vae/minimax/h3/video-int8.safetensors`\n- audio: `vae/minimax/h3/audio-fp32.safetensors`\n\n**Turbo LoRA (this graph, on by default)**\n`loras/minimax/h3/ref2v-lightx2v-4-steps.safetensors`\nOfficial LightX2V **Ref2VA 4-step** distill. Strength **1.0**.\n\nSwap only if you know why:\n- `minimax/h3/drbaph-ref2v-4steps.safetensors` — pruned conversion of the same 4-step Ref2V line (smaller file)\n- `minimax/h3/larryvrh-4step-4.0.safetensors` — Larry v4, trained for **FL2VA**, not this unet\n- Alibaba PAI Acc 8-step PDD — higher turbo quality, but needs extra PDD nodes this install does not have\n\n**SageAttention**\n`PathchSageAttentionKJ` is on (`auto`). Bypass it if sageattention is not installed.\n\n\n**Latent upscaler**\n`latent_upscale_models/minimax_h3_latent_upscaler_3d_bf16.safetensors`\n(same weights as `latent_upscale_models/minimax/h3/bf16.safetensors`; the node only scans the folder root.)\n"],"widgets_values_named":{"text":"## Models on this machine\n\n**Diffusion (Ref2VA, required for image/audio refs)**\n`unet/minimax/h3/ref2va-pruned-int8.safetensors`\n\nDo **not** use the FL2VA unet here. FL2VA is t2v / first-last-frame only.\n\n**Text encoder**\n`clip/qwen/3/vl-32B-nvfp4-awq.safetensors` — CLIPLoader type must be `minimax`\n\n**VAEs**\n- video: `vae/minimax/h3/video-int8.safetensors`\n- audio: `vae/minimax/h3/audio-fp32.safetensors`\n\n**Turbo LoRA (this graph, on by default)**\n`loras/minimax/h3/ref2v-lightx2v-4-steps.safetensors`\nOfficial LightX2V **Ref2VA 4-step** distill. Strength **1.0**.\n\nSwap only if you know why:\n- `minimax/h3/drbaph-ref2v-4steps.safetensors` — pruned conversion of the same 4-step Ref2V line (smaller file)\n- `minimax/h3/larryvrh-4step-4.0.safetensors` — Larry v4, trained for **FL2VA**, not this unet\n- Alibaba PAI Acc 8-step PDD — higher turbo quality, but needs extra PDD nodes this install does not have\n\n**SageAttention**\n`PathchSageAttentionKJ` is on (`auto`). Bypass it if sageattention is not installed.\n\n\n**Latent upscaler**\n`latent_upscale_models/minimax_h3_latent_upscaler_3d_bf16.safetensors`\n(same weights as `latent_upscale_models/minimax/h3/bf16.safetensors`; the node only scans the folder root.)\n"},"color":"#222","bgcolor":"#000"},{"id":118,"type":"MarkdownNote","pos":[-1960,80],"size":[440,700],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"Note: Turbo sampler / scheduler","properties":{"Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## Sampler / scheduler (locked to the LoRA)\n\nTurbo LoRAs are **guidance-free**. CFG stays 1.0 (`BasicGuider`). Do not use DPM / UniPC / res_multistep on the turbo path.\n\n| Mode | LoRA | Sampler | Scheduler | Steps | Shift V/A |\n|---|---|---|---|---|---|\n| **Turbo (default)** | LightX2V Ref2VA 4-step @ 1.0 | **euler** | **simple** | **4** | 12 / 3 |\n| Quality | off | res_multistep | beta | 20 | 12 / 3 |\n\nToggle **Turbo LoRA** (the boolean) to switch all three: model, sampler, and sigmas.\n\n### Why these numbers\n- LightX2V Ref2VA 4-step is the official Comfy R2V turbo LoRA and the only dedicated Ref2V distill on disk.\n- Euler + simple is the trained 4-NFE recipe (LightX2V, Larry, Acc all agree: **euler**).\n- `res_multistep` is the 20-step base recipe. It is the quality path, not turbo.\n- Video shift 12 / audio shift 3 are H3 defaults. Raise audio shift toward 5–6 only if dialogue is muddy.\n\n4 steps is the speed setting. If faces smear, keep this LoRA and try **6–8** steps on the turbo scheduler (still euler + simple) before turning turbo off.\n\n\n### Two-pass counts\n- Pass 1 (turbo): **4** euler/simple at the first-pass canvas\n- Upscale: 3D latent upscaler, `minimax_h3_latent_upscaler_3d_bf16.safetensors`\n- Pass 2 (refine): **3** euler steps, fixed sigmas from the official R2V template\n\nTotal turbo NFE is 7, but pass 1 is cheap because it runs at 0.4 MP.\n"],"widgets_values_named":{"text":"## Sampler / scheduler (locked to the LoRA)\n\nTurbo LoRAs are **guidance-free**. CFG stays 1.0 (`BasicGuider`). Do not use DPM / UniPC / res_multistep on the turbo path.\n\n| Mode | LoRA | Sampler | Scheduler | Steps | Shift V/A |\n|---|---|---|---|---|---|\n| **Turbo (default)** | LightX2V Ref2VA 4-step @ 1.0 | **euler** | **simple** | **4** | 12 / 3 |\n| Quality | off | res_multistep | beta | 20 | 12 / 3 |\n\nToggle **Turbo LoRA** (the boolean) to switch all three: model, sampler, and sigmas.\n\n### Why these numbers\n- LightX2V Ref2VA 4-step is the official Comfy R2V turbo LoRA and the only dedicated Ref2V distill on disk.\n- Euler + simple is the trained 4-NFE recipe (LightX2V, Larry, Acc all agree: **euler**).\n- `res_multistep` is the 20-step base recipe. It is the quality path, not turbo.\n- Video shift 12 / audio shift 3 are H3 defaults. Raise audio shift toward 5–6 only if dialogue is muddy.\n\n4 steps is the speed setting. If faces smear, keep this LoRA and try **6–8** steps on the turbo scheduler (still euler + simple) before turning turbo off.\n\n\n### Two-pass counts\n- Pass 1 (turbo): **4** euler/simple at the first-pass canvas\n- Upscale: 3D latent upscaler, `minimax_h3_latent_upscaler_3d_bf16.safetensors`\n- Pass 2 (refine): **3** euler steps, fixed sigmas from the official R2V template\n\nTotal turbo NFE is 7, but pass 1 is cheap because it runs at 0.4 MP.\n"},"color":"#222","bgcolor":"#000"},{"id":140,"type":"MarkdownNote","pos":[-1960,820],"size":[440,280],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[],"title":"Note: Size","properties":{"Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["| megapixels | 16:9 | notes |\n|---|---|---|\n| 0.4 | 864×480 | fast preview |\n| 0.7 | 1152×640 | mid |\n| **0.98** | **1344×768** | native 768p movie |\n"],"widgets_values_named":{"text":"| megapixels | 16:9 | notes |\n|---|---|---|\n| 0.4 | 864×480 | fast preview |\n| 0.7 | 1152×640 | mid |\n| **0.98** | **1344×768** | native 768p movie |\n"},"color":"#222","bgcolor":"#000"},{"id":127,"type":"UNETLoader","pos":[-1490,80],"size":[640,90],"flags":{},"order":4,"mode":0,"inputs":[{"localized_name":"unet_name","name":"unet_name","type":"COMBO","widget":{"name":"unet_name"},"link":null},{"localized_name":"weight_dtype","name":"weight_dtype","type":"COMBO","widget":{"name":"weight_dtype"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[285,287]}],"title":"Load Diffusion Model (Ref2VA)","properties":{"cnr_id":"comfy-core","ver":"0.33.3","Node name for 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