Banner Picture 1 Greek Picture 1 This repository provides a IP-Adapter checkpoint for
FLUX.1-dev model by Black Forest Labs
See our github for comfy ui workflows.
Flow Example Picture 1 Models
IP-Adapter is trained on 512x512 resolution for 50k steps and 1024x1024 for 25k steps resolution and works for both 512x512 and 1024x1024 resolution. Model is training, we release new checkpoints regularly, stay updated.
We release v1 version - which can be used directly in ComfyUI!
Examples
See examples of our models results below.
Inference
To try our models, you have 2 options:
Use main.py from our official repo
Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows)
Instruction for ComfyUI
Go to ComfyUI/custom_nodes
Clone x-flux-comfyui , 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 run python setup.py
Update x-flux-comfy with git pull or reinstall it.
Download Clip-L model.safetensors from OpenAI VIT CLIP large , and put it to ComfyUI/models/clip_vision/*.
Download our IPAdapter from huggingface , and put it to ComfyUI/models/xlabs/ipadapters/*.
Use Flux Load IPAdapter and Apply Flux IPAdapter nodes, choose right CLIP model and enjoy your genereations.
You can find example workflow in folder workflows in this repo.
If you get bad results, try to set true_gs=2
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.
Example Picture 2 Example Picture 1 License
Our weights fall under the
FLUX.1 [dev] Non-Commercial License
