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
1 excerptSource 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!
Estimated VRAM requirement
32+ GB estimated
39.6 GB of model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
5 requirementsVAE · 577 MB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Checkpoint · 19.5 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
VAE · 4.85 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Text encoder · 14.6 GB · SAFETENSORS · Hugging Face · Comfy-Org/MiniMax-H3
Node pack · Registry