Flux assets for ComfyUI
This repository contains reference weights arranged for ComfyUI under:
models/
diffusion_models/
vae/
text_encoders/
When used with Hugging Face Inference Endpoints, these files are baked into the endpoint image and available at:
/repository/models/...
Configure ComfyUI (extra_model_paths.yaml) to include the paths above.
Important: Check the original model licenses and terms (Black Forest Labs / Comfy-Org / comfyanonymous repos). Some weights do not permit commercial or production use. This repository is provided strictly for demo/testing purposes; you are responsible for ensuring compliance before any other use.
Contents:
models/diffusion_models/— Flux checkpoint (e.g.,flux1-krea-dev_fp8_scaled.safetensors)models/vae/— VAE (ae.safetensors)models/text_encoders/— CLIP/T5 encoders
If you need a different layout, adjust extra_model_paths.yaml accordingly.
Hugging Face Inference Endpoints
- set the health route to
/. - set COMFY_FLAGS
Docker (explicit flags):
docker run --rm --gpus all -p 8080:80 \
-e COMFY_FLAGS="--normalvram --use-pytorch-cross-attention --cache-lru 64 --reserve-vram 1.5" \
your-image:tag
Recommended COMFY_FLAGS
These presets prioritize stability. They’re meant as safe defaults; you should still set COMFY_FLAGS explicitly for your deployment when you know your workload.
--disable-xformers --use-pytorch-cross-attention --cache-lru 2 --reserve-vram 2.0
Minimal recommended hardware
- Nvidia L4: 8 vCPU, 32 GiB RAM, disk 40 GiB