This repository provides a IP Adapter checkpoint for FLUX.1 dev model by Black Forest Labs See our github for comfy ui workflows. 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! Please, see our ComfyUI custom nodes installation guide Examples See examples of our models results below. Also, some generation results with input images are provided in "Files and versions" Inference To try our models, you have 2 options: 1. Use main.py from our official repo 2. Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows) Instruction for ComfyUI 1. Go to ComfyUI/custom nodes 2. Clone x flux comfyui, 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. Update x flux comfy with git pull or reinstall it. 5. Download Clip L model.safetensors from OpenAI VIT CLIP large, and put it to ComfyUI/models/clip vision/…
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