You can download the adapters from https://huggingface.co/TencentARC/T2I-Adapter/tree/main
All the following adapters are trained with Stable Diffusion (SD) V1.4, and they can be directly used on custom models as long as they are fine-tuned from the same text-to-image models, such as Anything-4.0 or models on the https://civitai.com/.
| Adapter Name | Adapter Description | Demos | Model Parameters | Model Storage | |
|---|---|---|---|---|---|
| t2iadapter_color_sd14v1.pth | Spatial color palette → image | Demos | 18 M | 75 MB | |
| t2iadapter_style_sd14v1.pth | Image style → image | Demos | 154MB | Preliminary model. Style adapters with finer controls are on the way | |
| t2iadapter_openpose_sd14v1.pth | Openpose → image | Demos | 77 M | 309 MB | |
| t2iadapter_canny_sd14v1.pth | Canny edges → image | Demos | 77 M | 309 MB | |
| t2iadapter_sketch_sd14v1.pth | sketch → image | 77 M | 308 MB | ||
| t2iadapter_keypose_sd14v1.pth | keypose → image | 77 M | 309 MB | mmpose style | |
| t2iadapter_seg_sd14v1.pth | segmentation → image | 77 M | 309 MB | ||
| t2iadapter_depth_sd14v1.pth | depth maps → image | 77 M | 309 MB | Not the final model, still under training |