How to use

Installation:

1. Go to ComfyUI/custom_nodes
2. Clone this repo, path should be ComfyUI/custom_nodes/x-flux-comfyui/*, where * is all the files in this repo
3. Go to ComfyUI/custom_nodes/x-flux-comfyui/ and run python setup.py
4. Run ComfyUI after installing and enjoy!

After the first launch, the ComfyUI/models/xlabs/loras and ComfyUI/models/xlabs/controlnets folders will be created automatically.
So, to use lora or controlnet just put models in these folders.
After that, you may need to click "Refresh" in the user-friendly interface to use the models.
For controlnet you need install https://github.com/Fannovel16/comfyui_controlnet_aux

Low memory mode

You can launch Flux utilizing 12GB VRAM memory usage.

1. Follow installation as described in repo https://github.com/city96/ComfyUI-GGUF
2. Use flux1-dev-Q4_0.gguf from repo https://github.com/city96/ComfyUI-GGUF
   
3. Launch ComfyUI with parameters:

python3 main.py --lowvram --preview-method auto --use-split-cross-attention

In our workflows, replace "Load Diffusion Model" node with "Unet Loader (GGUF)"

Models

We trained Canny ControlNet, Depth ControlNet, HED ControlNet and LoRA checkpoints for FLUX.1 [dev]
You can download them on HuggingFace:

• flux-controlnet-collections
• flux-controlnet-canny
• flux-RealismLora
• flux-lora-collections
• flux-furry-lora