dotexec/MiniMax-H3-T2V-NVFP4

MiniMax-H3 T2V (FL2VA) — NVFP4

NVFP4 quantization of the MiniMax-H3 FL2VA/t2va diffusion transformer for ComfyUI. This is the text-to-video variant (prompt → video, with optional first/last-frame conditioning) — the first NVFP4 T2V release of MiniMax-H3 (existing NVFP4 releases covered only Ref2VA).

• Original model: https://huggingface.co/MiniMaxAI/MiniMax-H3
• ComfyUI repackage (bf16 source): https://huggingface.co/Comfy-Org/MiniMax-H3

File

file	size	notes
diffusion_models/minimax_h3_fl2va_nvfp4_mixed.safetensors	24.4 GB	attn/mlp → NVFP4, adaln → FP8 (recommended)

Requirements

• NVIDIA Blackwell GPU (RTX 50-series, RTX PRO 6000, DGX Spark / GB10). On older GPUs the NVFP4 path is emulated — use Comfy-Org's int8_convrot files instead.
• ComfyUI ≥ 0.30.0 with native MiniMax-H3 support (comfy_extras/nodes_minimax_h3.py).

Usage

1. Place the file in ComfyUI/models/diffusion_models/
2. Load the video_minimax_h3_r2v.json workflow (or use MiniMaxH3ImageToVideo with no keyframes for pure T2V)
3. Suggested params: res_multistep sampler, frame length 17n + 5 (e.g. 22, 39, 56, 73), 20 steps, 864×480 test resolution

Quantization profile (mixed)

• 200 attn/mlp layers → NVFP4 (Tensor Core)
• 50 adaln layers → FP8 (E4M3FN) — modulation path kept higher precision
• norms, biases, embedders, heads → BF16
• Converted with comfy-kitchen (TensorCoreNVFP4Layout) — per-layer .comfy_quant metadata, loadable natively by ComfyUI.

Companion files

Also needed (from Comfy-Org/MiniMax-H3):

• text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors (15.7 GB)
• vae/minimax_h3_video_vae_fp16.safetensors (5.2 GB)
• vae/minimax_h3_audio_vae_fp32.safetensors (0.6 GB)

Bonus: uncensored ("Heretic") text encoder — NVFP4

Optional drop-in replacement for the standard MiniMax-H3 text encoder. Built from ethanfel/Qwen3-VL-32B-Ultra-Heretic-MiniMax-H3-ComfyUI-INT8-ConvRot (itself derived from llmfan46/Qwen3-VL-32B-Instruct-ultra-uncensored-heretic, abliterated with ARA edits on attn.o_proj layers 31-40), then converted to NVFP4 with the same .comfy_quant format.

file	size	notes
text_encoders/qwen3vl_32b_minimax_h3_ultra_uncensored_heretic_nvfp4.safetensors	16.5 GB	language layers 0-49 + vision tower, 350 layers NVFP4, rest BF16

Usage: select it in CLIPLoader with type minimax (same as the standard encoder). Source's INT8-only generation-tail (layers 50-63) is not included; the conditioning path is identical to the standard MiniMax-H3 CLIP.

Abliteration reduces refusal behavior — test content for quality/appropriateness.