From 008d9818a25bb667532cba1611093ccce1902b25 Mon Sep 17 00:00:00 2001 From: Sayak Paul Date: Mon, 25 Dec 2023 10:45:14 +0530 Subject: [PATCH] fix: t2i apdater paper link (#6314) --- docs/source/en/training/t2i_adapters.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/en/training/t2i_adapters.md b/docs/source/en/training/t2i_adapters.md index 0f65ad8ed3..03f4537cb2 100644 --- a/docs/source/en/training/t2i_adapters.md +++ b/docs/source/en/training/t2i_adapters.md @@ -12,7 +12,7 @@ specific language governing permissions and limitations under the License. # T2I-Adapter -[T2I-Adapter]((https://hf.co/papers/2302.08453)) is a lightweight adapter model that provides an additional conditioning input image (line art, canny, sketch, depth, pose) to better control image generation. It is similar to a ControlNet, but it is a lot smaller (~77M parameters and ~300MB file size) because its only inserts weights into the UNet instead of copying and training it. +[T2I-Adapter](https://hf.co/papers/2302.08453) is a lightweight adapter model that provides an additional conditioning input image (line art, canny, sketch, depth, pose) to better control image generation. It is similar to a ControlNet, but it is a lot smaller (~77M parameters and ~300MB file size) because its only inserts weights into the UNet instead of copying and training it. The T2I-Adapter is only available for training with the Stable Diffusion XL (SDXL) model.