![]() ![]() For the version of SD 1.5, we recommend using community models to generate good images.Īs the image is center cropped in the default image processor of CLIP, IP-Adapter works best for square images. In most cases, setting scale=0.5 can get good results. For multimodal prompts, you can adjust the scale to get the best results.If you lower the scale, more diverse images can be generated, but they may not be as consistent with the image prompt. "best quality", you can also use any negative text prompt). If you only use the image prompt, you can set the scale=1.0 and text_prompt=""(or some generic text prompts, e.g.ip_adapter-plus-face_demo: generation with face image as prompt.ip_adapter-plus_demo: the demo of IP-Adapter with fine-grained features.ip_adapter_multimodal_prompts_demo: generation with multimodal prompts.ip_adapter_controlnet_demo, ip_adapter_t2i-adapter: structural generation with image prompt.ip_adapter_demo: image variations, image-to-image, and inpainting with image prompt.To run the demo, you should also download the following models: □ Add code and models of IP-Adapter with fine-grained features.□ Add an IP-Adapter with face image as prompt.□□□ IP-Adapter is supported in WebUI and ComfyUI (or ComfyUI_IPAdapter_plus).□ Update a new version of IP-Adapter with SDXL_1.0.□ Add text-to-image demo with IP-Adapter and Kandinsky 2.2 Prior.□ Add an updated version of IP-Adapter-Face.IP-Adapter is available in Diffusers thanks to Diffusers Team.□ Add an experimental version of IP-Adapter-FaceID, more information can be found here.□ Add an experimental version of IP-Adapter-FaceID-Plus, more information can be found here.□ Add an experimental version of IP-Adapter-FaceID-PlusV2, more information can be found here. ![]() Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. We present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ![]()
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