Adapter Zoo

March 4, 2023 · View on GitHub

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 NameAdapter DescriptionDemosModel ParametersModel Storage
t2iadapter_color_sd14v1.pthSpatial color palette → imageDemos18 M75 MB
t2iadapter_style_sd14v1.pthImage style → imageDemos154MBPreliminary model. Style adapters with finer controls are on the way
t2iadapter_openpose_sd14v1.pthOpenpose → imageDemos77 M309 MB
t2iadapter_canny_sd14v1.pthCanny edges → imageDemos77 M309 MB
t2iadapter_sketch_sd14v1.pthsketch → image77 M308 MB
t2iadapter_keypose_sd14v1.pthkeypose → image77 M309 MBmmpose style
t2iadapter_seg_sd14v1.pthsegmentation → image77 M309 MB
t2iadapter_depth_sd14v1.pthdepth maps → image77 M309 MBNot the final model, still under training