Attempt to build sage attention 2.2+ it speeds up MiniMax significantly.
Perfil de ejecución
Descripción de la fuente
Attempt to build sage attention 2.2+ it speeds up MiniMax significantly.
Tested on rtx5070ti.
Diffusion model:
Text encoder:
Fuentes
1 fuenteExtractos de fuentes
1 extractoSource context: 4205 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!
Requisito de VRAM estimado
32+ GB estimados
39,6 GB en archivos de modelos. Total de archivos de modelos + 25 % de sobrecarga de carga + 2 GB de margen de ejecución, redondeado hacia arriba.
Requisitos
5 requisitosminimax_h3_audio_vae_fp32.safetensors
EncontradoVAE · 577 MB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Checkpoint · 19.5 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
minimax_h3_video_vae_fp16.safetensors
EncontradoVAE · 4.85 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Text encoder · 14.6 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Paquete de nodos · Registry