Alissonerdx/Minimax-H3-ComfyUI
MiniMax H3 LoRAs for ComfyUI
Experimental LoRAs for MiniMax H3, packaged for ComfyUI and tested mainly with the `ref2va` weights.
These are research models, not finished tools. Results vary substantially with the source clip, resolution, prompt and reference images.
Models
Latent Upscaler experiment
`h3_upscaler_lms_v0.1` is an experimental latent-upscaler checkpoint trained for 2,000 steps with the same sharpness dataset used for the LMS LoRA. It was initialized from the LBH-123-AI/Minimax_h3_latent_Upscaler project and its `minimax_h3_latent_upscaler_3d_fp16.safetensors` checkpoint.
See the Latent Upscaler experiment guide for the two available paths, scope and limitations.
Common setup
Place LoRAs in ComfyUI/models/loras/. The included workflows list their required models and custom nodes inside the graph. Keep the output aspect ratio matched to the source clip and use an H3-supported frame count (17n + 5: 5, 22, 39, 56, 73, 90, 107, 124, ...).
The LMS, Style Transfer, VFX Edit and Head Swap models use an aligned source-video guide through MiniMaxH3AddGuide at frame_idx = 0. This is different from a native image/video reference: the guide shares the generated video's spatial and temporal grid.
License and credits
Base model credit to MiniMaxAI, ComfyUI-ready weights to Comfy-Org, and guide-latent training support to ostris/ai-toolkit and ComfyUI-AIToolkit-MiniMaxH3.
