Comfy-Org has repackaged MiniMax H3-Image as three quantized safetensors files arranged for ComfyUI’s standard model folders. The release preserves the upstream model while reducing its storage and memory demands, removing much of the manual conversion work required by the original multi-file checkpoint.
MiniMax H3-Image is a 33.1 billion-parameter, open-weight diffusion transformer derived from MiniMax’s H3 video architecture. It supports text-to-image generation, reference-conditioned generation, and image editing. MiniMax reports native output around 16 megapixels, including 4096 by 4096 pixels, with up to 16 reference images and a six-step sampling schedule that does not use classifier-free guidance.
The package at a glance
The ComfyUI package contains one safetensors file for each component:
minimax_h3_image_pruned_int8_convrot.safetensorsqwen3vl_32b_minimax_h3_nvfp4_awq.safetensorsminimax_h3_image_vae_fp16.safetensors
Quantization lowers memory use by storing weights at reduced precision. The main transformer uses int8 weights, while the Qwen3-VL encoder uses NVIDIA’s 4-bit NVFP4 format with activation-aware weight quantization. Comfy-Org has not published an exact VRAM requirement, so practical limits will depend on resolution, attention settings, offloading, GPU architecture, and support for the required quantization kernels.