Update IF name to XL (huggingface#3262)

Co-authored-by: multimodalart <[email protected]>

Author: apolinario

pipelines/deepfloyd_if/pipeline_if.py

@@ -41,7 +41,7 @@
         >>> from diffusers.utils import pt_to_pil
         >>> import torch
 
-        >>> pipe = IFPipeline.from_pretrained("DeepFloyd/IF-I-IF-v1.0", variant="fp16", torch_dtype=torch.float16)
+        >>> pipe = IFPipeline.from_pretrained("DeepFloyd/IF-I-XL-v1.0", variant="fp16", torch_dtype=torch.float16)
         >>> pipe.enable_model_cpu_offload()
 
         >>> prompt = 'a photo of a kangaroo wearing an orange hoodie and blue sunglasses standing in front of the eiffel tower holding a sign that says "very deep learning"'

pipelines/deepfloyd_if/pipeline_if_img2img.py

@@ -70,7 +70,7 @@ def resize(images: PIL.Image.Image, img_size: int) -> PIL.Image.Image:
         >>> original_image = original_image.resize((768, 512))
 
         >>> pipe = IFImg2ImgPipeline.from_pretrained(
-        ...     "DeepFloyd/IF-I-IF-v1.0",
+        ...     "DeepFloyd/IF-I-XL-v1.0",
         ...     variant="fp16",
         ...     torch_dtype=torch.float16,
         ... )

pipelines/deepfloyd_if/pipeline_if_img2img_superresolution.py

@@ -73,7 +73,7 @@ def resize(images: PIL.Image.Image, img_size: int) -> PIL.Image.Image:
         >>> original_image = original_image.resize((768, 512))
 
         >>> pipe = IFImg2ImgPipeline.from_pretrained(
-        ...     "DeepFloyd/IF-I-IF-v1.0",
+        ...     "DeepFloyd/IF-I-XL-v1.0",
         ...     variant="fp16",
         ...     torch_dtype=torch.float16,
         ... )

pipelines/deepfloyd_if/pipeline_if_inpainting.py

@@ -76,7 +76,7 @@ def resize(images: PIL.Image.Image, img_size: int) -> PIL.Image.Image:
         >>> mask_image = mask_image
 
         >>> pipe = IFInpaintingPipeline.from_pretrained(
-        ...     "DeepFloyd/IF-I-IF-v1.0", variant="fp16", torch_dtype=torch.float16
+        ...     "DeepFloyd/IF-I-XL-v1.0", variant="fp16", torch_dtype=torch.float16
         ... )
         >>> pipe.enable_model_cpu_offload()
 

pipelines/deepfloyd_if/pipeline_if_inpainting_superresolution.py

@@ -78,7 +78,7 @@ def resize(images: PIL.Image.Image, img_size: int) -> PIL.Image.Image:
         >>> mask_image = mask_image
 
         >>> pipe = IFInpaintingPipeline.from_pretrained(
-        ...     "DeepFloyd/IF-I-IF-v1.0", variant="fp16", torch_dtype=torch.float16
+        ...     "DeepFloyd/IF-I-XL-v1.0", variant="fp16", torch_dtype=torch.float16
         ... )
         >>> pipe.enable_model_cpu_offload()
 

pipelines/deepfloyd_if/pipeline_if_superresolution.py

@@ -45,7 +45,7 @@
         >>> from diffusers.utils import pt_to_pil
         >>> import torch
 
-        >>> pipe = IFPipeline.from_pretrained("DeepFloyd/IF-I-IF-v1.0", variant="fp16", torch_dtype=torch.float16)
+        >>> pipe = IFPipeline.from_pretrained("DeepFloyd/IF-I-XL-v1.0", variant="fp16", torch_dtype=torch.float16)
         >>> pipe.enable_model_cpu_offload()
 
         >>> prompt = 'a photo of a kangaroo wearing an orange hoodie and blue sunglasses standing in front of the eiffel tower holding a sign that says "very deep learning"'