Attempt to build sage attention 2.2+ it speeds up MiniMax significantly.
Runtime profile
Source description
Attempt to build sage attention 2.2+ it speeds up MiniMax significantly.
Tested on rtx5070ti.
Diffusion model:
Text encoder:
Sources
1 sourceSource excerpts
2 excerptsSource context: 4602 downloads · Type Workflows · Base model MiniMax H3
VAEs:
Turbo LoRA:
Ollama LLM (gemma 4 12B it) for prompt helper:
You can add as many references as needed..
DOWN BELOW IS OLD VERSION CONTENT.
DISABLE comfyui_smznodes if you have this extension!!!
(It breaks any LTXV workflow.)
Diffuser model (pick one):
Text encoders (both):
VAEs:
Latent upscaler:
LoRA (distilled LoRA is needed, do not disable):
Enjoy!
Hardware and download-size estimates are not available yet.
Requirements
minimax_h3_audio_vae_fp32.safetensors
File unverifiedVAE · Hugging Face · Comfy-Org/MiniMax-H3 · MiniMax H3
minimax_h3_ref2va_pruned_int8_convrot.safetensors
File unverifiedCheckpoint · Hugging Face · Comfy-Org/MiniMax-H3 · MiniMax H3
Source context: 4205 downloads · Type Workflows · Base model MiniMax H3
minimax_h3_video_vae_fp16.safetensors
File unverifiedVAE · Hugging Face · Comfy-Org/MiniMax-H3 · MiniMax H3
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
File unverifiedText encoder · Hugging Face · Comfy-Org/MiniMax-H3 · MiniMax H3
Node pack · Registry