| { |
| "name": "minimax-h3-33b-int8", |
| "upstream": "MiniMaxAI/MiniMax-H3", |
| "components": [ |
| { |
| "target": "diffusion_models", |
| "upstream": "MiniMaxAI/MiniMax-H3 (DiT, first/last-frame -> video + audio)", |
| "method": "hf_download", |
| "source": "Comfy-Org/MiniMax-H3", |
| "variant": "pruned rank-8 AdaLN, INT8 + ConvRot", |
| "license": "MiniMax H3 Community License Agreement (Copyright (c) 2026 MiniMax). Quantized/pruned derivative, not the original file." |
| }, |
| { |
| "target": "text_encoder", |
| "upstream": "MiniMaxAI/MiniMax-H3 (Qwen3-VL-32B text/vision encoder)", |
| "method": "hf_download", |
| "source": "Comfy-Org/MiniMax-H3 (weights) + MiniMaxAI/MiniMax-H3 text_encoder (config, tokenizer, preprocessors)", |
| "variant": "NVFP4 / AWQ", |
| "license": "MiniMax H3 Community License Agreement. Base architecture Qwen3-VL-32B, Apache-2.0 upstream." |
| }, |
| { |
| "target": "vae", |
| "upstream": "MiniMaxAI/MiniMax-H3 (video VAE + 32 kHz stereo audio VAE)", |
| "method": "hf_download", |
| "source": "Comfy-Org/MiniMax-H3", |
| "variant": "video fp16, audio fp32", |
| "license": "MiniMax H3 Community License Agreement. Format conversion of the originals." |
| }, |
| { |
| "target": "loras/minimax_h3_turbo_v4_step600_ema.safetensors", |
| "upstream": "larryvrh/MiniMax-H3-Turbo-Lora", |
| "method": "hf_download", |
| "source": "larryvrh/MiniMax-H3-Turbo-Lora", |
| "variant": "v4 step600 EMA, bf16, rank 64 backbone / rank 16 adaLN", |
| "license": "Apache-2.0." |
| }, |
| { |
| "target": "loras/h3_silu_temb_grid.safetensors", |
| "upstream": "larryvrh/ComfyUI-MiniMax-H3-Turbo", |
| "method": "copy", |
| "source": "github:larryvrh/ComfyUI-MiniMax-H3-Turbo", |
| "variant": "silu(time_embedder(t)) grid [1025, 2688], restores time conditioning dropped by the pruned DiT", |
| "license": "Apache-2.0." |
| } |
| ], |
| "layout": { |
| "convention": "original MiniMaxAI/MiniMax-H3 directory names", |
| "note": "text_encoder is SINGULAR (the ComfyUI repack spells it text_encoders); encoder configs and tokenizer live next to the encoder weights so the folder is self-contained" |
| }, |
| "usage_notes": { |
| "base_steps": 50, |
| "turbo_lora_steps": "4-8 at strength 1.0 (6-8 preferred)", |
| "runtime": "INT8+ConvRot expects a PyTorch build with CUDA 13.0", |
| "host_ram_gb": 64, |
| "vram_gib_768p": "18-30 depending on clip length" |
| } |
| } |
|
|
