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- "widgets_values": [
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- "## MiniMax H3 - single image (ref2va)\n\nRuns the ref2va path with `length = 5` (the minimum block), then keeps **one** frame via *Get Image or Mask Range From Batch* (`num_frames = 1`) and previews it. No audio VAE decode, no video save.\n\n### Models expected\n```\nComfyUI/models/\n diffusion_models/10Eros_Max_h3_TURBO-hybrid_beta3_int8_convrot.safetensors\n text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors\n vae/minimax_h3_video_vae_int8_convrot.safetensors\n vae/minimax_h3_audio_vae_fp32.safetensors\n```\nAudio VAE is still required as an input on the H3 node even though nothing decodes audio.\n\n### Custom node\n*Get Image or Mask Range From Batch* comes from **ComfyUI-KJNodes** (install via Manager). Swap for `ImageFromBatch` (comfy-core, batch_index 0 / length 1) if you'd rather not install it.\n\n### Notes\n- `width/height` must be multiples of 32. 1920x1088 is well above H3's native 768 short edge - drop to ~1344x768 if you get artifacts or OOM.\n- `length` steps in units of 17 (5, 22, 39...). Keep 5 for stills.\n- Steps 8 + `sa_solver` assumes a TURBO/distilled checkpoint. Use ~20 steps on a non-turbo model."
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- "text": "## MiniMax H3 - single image (ref2va)\n\nRuns the ref2va path with `length = 5` (the minimum block), then keeps **one** frame via *Get Image or Mask Range From Batch* (`num_frames = 1`) and previews it. No audio VAE decode, no video save.\n\n### Models expected\n```\nComfyUI/models/\n diffusion_models/10Eros_Max_h3_TURBO-hybrid_beta3_int8_convrot.safetensors\n text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors\n vae/minimax_h3_video_vae_int8_convrot.safetensors\n vae/minimax_h3_audio_vae_fp32.safetensors\n```\nAudio VAE is still required as an input on the H3 node even though nothing decodes audio.\n\n### Custom node\n*Get Image or Mask Range From Batch* comes from **ComfyUI-KJNodes** (install via Manager). Swap for `ImageFromBatch` (comfy-core, batch_index 0 / length 1) if you'd rather not install it.\n\n### Notes\n- `width/height` must be multiples of 32. 1920x1088 is well above H3's native 768 short edge - drop to ~1344x768 if you get artifacts or OOM.\n- `length` steps in units of 17 (5, 22, 39...). Keep 5 for stills.\n- Steps 8 + `sa_solver` assumes a TURBO/distilled checkpoint. Use ~20 steps on a non-turbo model."
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- "bgcolor": "#653",
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- "title": "Read Me"
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- "label": "ref_image_0",
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- "localized_name": "positive",
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- "name": "positive",
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- "type": "CONDITIONING",
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- "localized_name": "LATENT",
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- "Node name for S&R": "MiniMaxH3ReferenceToVideo",
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- "widgets_values": [
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- "use <Picture 1> as the primary subject <Subject 1> discarding the anime face and look of the picture, create a hyper realistic person based on the image with a similar facial structure, skin tone and body proportions, wearing the same outfit.\n\nGenerate A 3 panel shot of <Subject 1> as detailed below:\nwhite background #ffffff, fit <Subject 1>, do not stretch the dimension of the image.\n\nPanel 1 - Medium close up shot\nPanel 2 - Full body front view\nPanel 3 - Full body back view"
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- "value": "use <Picture 1> as the primary subject <Subject 1> discarding the anime face and look of the picture, create a hyper realistic person based on the image with a similar facial structure, skin tone and body proportions, wearing the same outfit.\n\nGenerate A 3 panel shot of <Subject 1> as detailed below:\nwhite background #ffffff, fit <Subject 1>, do not stretch the dimension of the image.\n\nPanel 1 - Medium close up shot\nPanel 2 - Full body front view\nPanel 3 - Full body back view"
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- "title": "Optional Speed Ups",
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- "text": "## Speed Patches \u2014 PK / H3 SLA\n\nChain applies bottom-up on the MODEL. Toggle each group on/off with the bypasser above.\n\n- **1. FP16 Accumulation** (`ModelPatchTorchSettings`): free speed on RTX 30xx+ / most modern GPUs. Safe to leave on.\n- **2. LowVRAM Attention** (`MiniMaxLowVRAMAttention`): splits attention into head chunks. Reduces peak VRAM; tiny cost, sometimes a small speedup. Widget: `head_chunks` (default 4).\n- **3. Chunk FeedForward** (`MiniMaxChunkFeedForward`): splits FF blocks. Reduces peak VRAM at longer sequence lengths. Widgets: `chunks` (2\u20134), `seq_threshold` (4096).\n- **4. H3 SLA Attention** (`H3SLAAttention`): the big one. Sparse Linear Attention \u2014 main speedup. `sparsity_ratio` 0.9 keeps 10% of tokens for very fast, decent-quality; drop to ~0.7 if you see artifacts. `dense_last_steps` controls how many final steps run dense (better quality tail).\n\n### Wiring\n\nFeed the raw `MODEL` from `UNETLoader` into `model`. Take the output `MODEL` to whatever comes next (sampler / patcher).\n\n### Notes\n\n- SLA patches attention \u2014 anything else patching attention should sit *before* it in the chain. That is why H3SLAAttention is last.\n- `protect_audio=True` avoids audio-latent glitches at some speed cost. Leave on unless testing.\n- If the workflow refuses to load, install `comfyui-kjnodes` and `plaguekind-nodes` (H3SLAAttention lives in one of these packs)."
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