fix

Author: sayakpaul

src/diffusers/pipelines/dit/pipeline_dit.py

@@ -46,8 +46,9 @@ class DiTPipeline(DiffusionPipeline):
 
     Parameters:
         transformer ([`DiTTransformer2DModel`]):
-            A class conditioned `DiTTransformer2DModel` to denoise the encoded image latents. Initially
-            published as [Transformer2DModel](https://huggingface.co/facebook/DiT-XL-2-256/blob/main/transformer/config.json#L2) in the config, but the mismatch can be ignored.
+            A class conditioned `DiTTransformer2DModel` to denoise the encoded image latents. Initially published as
+            [`Transformer2DModel`](https://huggingface.co/facebook/DiT-XL-2-256/blob/main/transformer/config.json#L2)
+            in the config, but the mismatch can be ignored.
         vae ([`AutoencoderKL`]):
             Variational Auto-Encoder (VAE) model to encode and decode images to and from latent representations.
         scheduler ([`DDIMScheduler`]):

src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py

@@ -256,10 +256,9 @@ class PixArtAlphaPipeline(DiffusionPipeline):
             Tokenizer of class
             [T5Tokenizer](https://huggingface.co/docs/transformers/model_doc/t5#transformers.T5Tokenizer).
         transformer ([`PixArtTransformer2DModel`]):
-            A text conditioned `PixArtTransformer2DModel` to denoise the encoded image latents. It was initially
-            published as `Transformer2DModel` which is why [the configuration
-            still](https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/blob/main/transformer/config.json#L2) shows
-            the class name as `Transformer2DModel`. This mismatch can be safely ignored.
+            A text conditioned `PixArtTransformer2DModel` to denoise the encoded image latents. Initially published as
+            [`Transformer2DModel`](https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/blob/main/transformer/config.json#L2)
+            in the config, but the mismatch can be ignored.
         scheduler ([`SchedulerMixin`]):
             A scheduler to be used in combination with `transformer` to denoise the encoded image latents.
     """

src/diffusers/pipelines/pixart_alpha/pipeline_pixart_sigma.py

@@ -200,10 +200,9 @@ class PixArtSigmaPipeline(DiffusionPipeline):
             Tokenizer of class
             [T5Tokenizer](https://huggingface.co/docs/transformers/model_doc/t5#transformers.T5Tokenizer).
         transformer ([`PixArtTransformer2DModel`]):
-            A text conditioned `PixArtTransformer2DModel` to denoise the encoded image latents. It was initially
-            published as `Transformer2DModel` which is why [the configuration
-            still](https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS/blob/main/transformer/config.json#L2)
-            shows the class name as `Transformer2DModel`. This mismatch can be safely ignored.
+            A text conditioned `PixArtTransformer2DModel` to denoise the encoded image latents. Initially published as
+            [`Transformer2DModel`](https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS/blob/main/transformer/config.json#L2)
+            in the config, but the mismatch can be ignored.
         scheduler ([`SchedulerMixin`]):
             A scheduler to be used in combination with `transformer` to denoise the encoded image latents.
     """