IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
IP-Adapter lets diffusion models take an image as a prompt, transferring style or subject without retraining the base model.
From the README
- [2024/01/19] 🔥 Add IP-Adapter-FaceID-Portrait, more information can be found here.
- [2024/01/17] 🔥 Add an experimental version of IP-Adapter-FaceID-PlusV2 for SDXL, more information can be found here.
- [2024/01/04] 🔥 Add an experimental version of IP-Adapter-FaceID for SDXL, more information can be found here.
- [2023/12/29] 🔥 Add an experimental version of IP-Adapter-FaceID-PlusV2, more information can be found here.
- [2023/12/27] 🔥 Add an experimental version of IP-Adapter-FaceID-Plus, more information can be found here.
- [2023/12/20] 🔥 Add an experimental version of IP-Adapter-FaceID, more information can be found here.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeThe image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
IP-Adapter has 6.7k stars on GitHub. It has been forked 428 times. IP-Adapter is written mainly in Jupyter Notebook. It has been in active development since 2023. IP-Adapter is available under the Apache-2.0 license.
Read the full guideWhat is IP-Adapter?
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Is IP-Adapter open source?
IP-Adapter is an open-source project. It is released under the Apache-2.0 license.
Is IP-Adapter free?
Yes. IP-Adapter is free and open source — you can use, modify and self-host it.
What license does IP-Adapter use?
IP-Adapter is available under the Apache-2.0 license.
What language is IP-Adapter written in?
IP-Adapter is written mainly in Jupyter Notebook.
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