jaidaken
f09734b0ee
Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Guide
How to use
Installation:
- Go to
ComfyUI/custom_nodes - Clone this repo, path should be
ComfyUI/custom_nodes/x-flux-comfyui/*, where * is all the files in this repo - Go to
ComfyUI/custom_nodes/x-flux-comfyui/and runpython setup.py - 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.
- Follow installation as described in repo https://github.com/city96/ComfyUI-GGUF
- Use flux1-dev-Q4_0.gguf from repo https://github.com/city96/ComfyUI-GGUF
- 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
- flux-ip-adapter
IP Adapter
Instruction
- Update x-flux-comfy with
git pullor reinstall it. - Download Clip-L
model.safetensorsfrom OpenAI VIT CLIP large, and put it toComfyUI/models/clip_vision/*. - Download our IPAdapter from huggingface, and put it to
ComfyUI/models/xlabs/ipadapters/*. - Use
Flux Load IPAdapterandApply Flux IPAdapternodes, choose right CLIP model and enjoy your genereations. - You can find example workflow in folder workflows in this repo.
Limitations
The IP Adapter is currently in beta. We do not guarantee that you will get a good result right away, it may take more attempts to get a result. But we will make efforts to make this process easier and more efficient over time.