fix doc example for fom_single_file (#7015)

* fix doc

* remove use_safetensors from signature

* more

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

docs/source/en/using-diffusers/sdxl.md

@@ -63,11 +63,12 @@ from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipelin
 import torch
 
 pipeline = StableDiffusionXLPipeline.from_single_file(
-    "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors", torch_dtype=torch.float16, variant="fp16", use_safetensors=True
+    "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors", 
+    torch_dtype=torch.float16
 ).to("cuda")
 
 refiner = StableDiffusionXLImg2ImgPipeline.from_single_file(
-    "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/sd_xl_refiner_1.0.safetensors", torch_dtype=torch.float16, use_safetensors=True, variant="fp16"
+    "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/sd_xl_refiner_1.0.safetensors", torch_dtype=torch.float16
 ).to("cuda")
 ```
 

docs/source/ko/api/pipelines/stable_diffusion/stable_diffusion_xl.md

@@ -313,12 +313,12 @@ from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipelin
 import torch
 
 pipe = StableDiffusionXLPipeline.from_single_file(
-    "./sd_xl_base_1.0.safetensors", torch_dtype=torch.float16, variant="fp16", use_safetensors=True
+    "./sd_xl_base_1.0.safetensors", torch_dtype=torch.float16
 )
 pipe.to("cuda")
 
 refiner = StableDiffusionXLImg2ImgPipeline.from_single_file(
-    "./sd_xl_refiner_1.0.safetensors", torch_dtype=torch.float16, use_safetensors=True, variant="fp16"
+    "./sd_xl_refiner_1.0.safetensors", torch_dtype=torch.float16
 )
 refiner.to("cuda")
 ```

src/diffusers/loaders/autoencoder.py

@@ -75,10 +75,6 @@ class FromOriginalVAEMixin:
                 diffusion model. When decoding, the latents are scaled back to the original scale with the formula: `z
                 = 1 / scaling_factor * z`. For more details, refer to sections 4.3.2 and D.1 of the [High-Resolution
                 Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752) paper.
-            use_safetensors (`bool`, *optional*, defaults to `None`):
-                If set to `None`, the safetensors weights are downloaded if they're available **and** if the
-                safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors
-                weights. If set to `False`, safetensors weights are not loaded.
             kwargs (remaining dictionary of keyword arguments, *optional*):
                 Can be used to overwrite load and saveable variables (for example the pipeline components of the
                 specific pipeline class). The overwritten components are directly passed to the pipelines `__init__`
@@ -111,7 +107,6 @@ class FromOriginalVAEMixin:
         local_files_only = kwargs.pop("local_files_only", None)
         revision = kwargs.pop("revision", None)
         torch_dtype = kwargs.pop("torch_dtype", None)
-        use_safetensors = kwargs.pop("use_safetensors", True)
 
         class_name = cls.__name__
 
@@ -131,7 +126,6 @@ class FromOriginalVAEMixin:
             token=token,
             revision=revision,
             local_files_only=local_files_only,
-            use_safetensors=use_safetensors,
             cache_dir=cache_dir,
         )
 

src/diffusers/loaders/controlnet.py

@@ -65,10 +65,6 @@ class FromOriginalControlNetMixin:
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier
                 allowed by Git.
-            use_safetensors (`bool`, *optional*, defaults to `None`):
-                If set to `None`, the safetensors weights are downloaded if they're available **and** if the
-                safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors
-                weights. If set to `False`, safetensors weights are not loaded.
             image_size (`int`, *optional*, defaults to 512):
                 The image size the model was trained on. Use 512 for all Stable Diffusion v1 models and the Stable
                 Diffusion v2 base model. Use 768 for Stable Diffusion v2.
@@ -101,7 +97,6 @@ class FromOriginalControlNetMixin:
         local_files_only = kwargs.pop("local_files_only", None)
         revision = kwargs.pop("revision", None)
         torch_dtype = kwargs.pop("torch_dtype", None)
-        use_safetensors = kwargs.pop("use_safetensors", True)
 
         class_name = cls.__name__
         if (config_file is not None) and (original_config_file is not None):
@@ -120,7 +115,6 @@ class FromOriginalControlNetMixin:
             token=token,
             revision=revision,
             local_files_only=local_files_only,
-            use_safetensors=use_safetensors,
             cache_dir=cache_dir,
         )
 

src/diffusers/loaders/single_file.py

@@ -181,10 +181,6 @@ class FromSingleFileMixin:
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier
                 allowed by Git.
-            use_safetensors (`bool`, *optional*, defaults to `None`):
-                If set to `None`, the safetensors weights are downloaded if they're available **and** if the
-                safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors
-                weights. If set to `False`, safetensors weights are not loaded.
         Examples:
 
         ```py
@@ -216,7 +212,6 @@ class FromSingleFileMixin:
         local_files_only = kwargs.pop("local_files_only", False)
         revision = kwargs.pop("revision", None)
         torch_dtype = kwargs.pop("torch_dtype", None)
-        use_safetensors = kwargs.pop("use_safetensors", True)
 
         class_name = cls.__name__
 
@@ -230,7 +225,6 @@ class FromSingleFileMixin:
             token=token,
             revision=revision,
             local_files_only=local_files_only,
-            use_safetensors=use_safetensors,
             cache_dir=cache_dir,
         )
 

src/diffusers/loaders/single_file_utils.py

@@ -227,14 +227,7 @@ def fetch_ldm_config_and_checkpoint(
     cache_dir=None,
     local_files_only=None,
     revision=None,
-    use_safetensors=True,
 ):
-    file_extension = pretrained_model_link_or_path.rsplit(".", 1)[-1]
-    from_safetensors = file_extension == "safetensors"
-
-    if from_safetensors and use_safetensors is False:
-        raise ValueError("Make sure to install `safetensors` with `pip install safetensors`.")
-
     if os.path.isfile(pretrained_model_link_or_path):
         checkpoint = load_state_dict(pretrained_model_link_or_path)