{
  "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"
  }
}