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IP-ADAPTER
Image prompt adapter for text-to-image diffusion models
Apache-2.0
ABOUT
Text-to-image models are excellent at following text descriptions but struggle to capture the visual essence of a reference image — style, composition, color palette, or subject identity — through text alone. IP-Adapter adds a lightweight, decoupled cross-attention mechanism that accepts an image prompt alongside the text prompt, enabling pretrained diffusion models to generate images that respect both textual and visual guidance. Unlike full fine-tuning or DreamBooth, IP-Adapter is a single add-on module trained once that works with any base model and preserves the original text conditioning capabilities.
INSTALL
pip install ip-adapterINTEGRATION GUIDE
1. Generate product images in a specific brand style by providing a reference image
2. Create consistent character illustrations across multiple generations using a character reference
3. Transfer the artistic style of one image to new subjects described in text
4. Build a design tool where users drag a reference image to guide the AI's visual output
5. Enable image-conditional generation without retraining or storing multiple model checkpoints
TAGS
image-generationdiffusionstable-diffusionimage-promptadaptertransfer-learningcomputer-vision