make style

Author: stevhliu

src/diffusers/guiders/guider_utils.py

@@ -247,11 +247,10 @@ def from_pretrained(
                 The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier
                 allowed by Git.
 
-        > [!TIP]
-        > To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
-        > auth login`. You can also activate the special
-        > ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
-        > firewalled environment.
+        > [!TIP] > To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in
+        with `hf > auth login`. You can also activate the special >
+        ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a >
+        firewalled environment.
 
         """
         config, kwargs, commit_hash = cls.load_config(

src/diffusers/loaders/lora_base.py

@@ -544,8 +544,7 @@ def fuse_lora(
         r"""
         Fuses the LoRA parameters into the original parameters of the corresponding blocks.
 
-        > [!WARNING]
-        > This is an experimental API.
+        > [!WARNING] > This is an experimental API.
 
         Args:
             components: (`List[str]`): List of LoRA-injectable components to fuse the LoRAs into.
@@ -625,8 +624,7 @@ def unfuse_lora(self, components: List[str] = [], **kwargs):
         Reverses the effect of
         [`pipe.fuse_lora()`](https://huggingface.co/docs/diffusers/main/en/api/loaders#diffusers.loaders.LoraBaseMixin.fuse_lora).
 
-        > [!WARNING]
-        > This is an experimental API.
+        > [!WARNING] > This is an experimental API.
 
         Args:
             components (`List[str]`): List of LoRA-injectable components to unfuse LoRA from.

src/diffusers/loaders/lora_pipeline.py

@@ -246,10 +246,8 @@ def lora_state_dict(
         r"""
         Return state dict for lora weights and the network alphas.
 
-        > [!WARNING]
-        > We support loading A1111 formatted LoRA checkpoints in a limited capacity.
-        >
-        > This function is experimental and might change in the future.
+        > [!WARNING] > We support loading A1111 formatted LoRA checkpoints in a limited capacity. > > This function is
+        experimental and might change in the future.
 
         Parameters:
             pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
@@ -542,8 +540,7 @@ def fuse_lora(
         r"""
         Fuses the LoRA parameters into the original parameters of the corresponding blocks.
 
-        > [!WARNING]
-        > This is an experimental API.
+        > [!WARNING] > This is an experimental API.
 
         Args:
             components: (`List[str]`): List of LoRA-injectable components to fuse the LoRAs into.
@@ -580,8 +577,7 @@ def unfuse_lora(self, components: List[str] = ["unet", "text_encoder"], **kwargs
         Reverses the effect of
         [`pipe.fuse_lora()`](https://huggingface.co/docs/diffusers/main/en/api/loaders#diffusers.loaders.LoraBaseMixin.fuse_lora).
 
-        > [!WARNING]
-        > This is an experimental API.
+        > [!WARNING] > This is an experimental API.
 
         Args:
             components (`List[str]`): List of LoRA-injectable components to unfuse LoRA from.
@@ -689,10 +685,8 @@ def lora_state_dict(
         r"""
         Return state dict for lora weights and the network alphas.
 
-        > [!WARNING]
-        > We support loading A1111 formatted LoRA checkpoints in a limited capacity.
-        >
-        > This function is experimental and might change in the future.
+        > [!WARNING] > We support loading A1111 formatted LoRA checkpoints in a limited capacity. > > This function is
+        experimental and might change in the future.
 
         Parameters:
             pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
@@ -1995,8 +1989,7 @@ def unfuse_lora(self, components: List[str] = ["transformer", "text_encoder"], *
         Reverses the effect of
         [`pipe.fuse_lora()`](https://huggingface.co/docs/diffusers/main/en/api/loaders#diffusers.loaders.LoraBaseMixin.fuse_lora).
 
-        > [!WARNING]
-        > This is an experimental API.
+        > [!WARNING] > This is an experimental API.
 
         Args:
             components (`List[str]`): List of LoRA-injectable components to unfuse LoRA from.

src/diffusers/models/attention.py

@@ -111,8 +111,7 @@ def fuse_qkv_projections(self):
     def unfuse_qkv_projections(self):
         """Disables the fused QKV projection if enabled.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
         """
         for module in self.modules():
             if isinstance(module, AttentionModuleMixin):

src/diffusers/models/attention_processor.py

@@ -3669,8 +3669,7 @@ class FusedAttnProcessor2_0:
     fused projection layers. For self-attention modules, all projection matrices (i.e., query, key, value) are fused.
     For cross-attention modules, key and value projection matrices are fused.
 
-    > [!WARNING]
-    > This API is currently 🧪 experimental in nature and can change in future.
+    > [!WARNING] > This API is currently 🧪 experimental in nature and can change in future.
     """
 
     def __init__(self):

src/diffusers/models/auto_model.py

@@ -118,11 +118,10 @@ def from_pretrained(cls, pretrained_model_or_path: Optional[Union[str, os.PathLi
             trust_remote_cocde (`bool`, *optional*, defaults to `False`):
                 Whether to trust remote code
 
-        > [!TIP]
-        > To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
-        > auth login`. You can also activate the special
-        > ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
-        > firewalled environment.
+        > [!TIP] > To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in
+        with `hf > auth login`. You can also activate the special >
+        ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a >
+        firewalled environment.
 
         Example:
 

src/diffusers/models/autoencoders/autoencoder_kl.py

@@ -532,8 +532,7 @@ def fuse_qkv_projections(self):
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query, key, value)
         are fused. For cross-attention modules, key and value projection matrices are fused.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
         """
         self.original_attn_processors = None
 
@@ -553,8 +552,7 @@ def fuse_qkv_projections(self):
     def unfuse_qkv_projections(self):
         """Disables the fused QKV projection if enabled.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
 
         """
         if self.original_attn_processors is not None:

src/diffusers/models/controlnets/controlnet_sd3.py

@@ -270,8 +270,7 @@ def fuse_qkv_projections(self):
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query, key, value)
         are fused. For cross-attention modules, key and value projection matrices are fused.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
         """
         self.original_attn_processors = None
 
@@ -291,8 +290,7 @@ def fuse_qkv_projections(self):
     def unfuse_qkv_projections(self):
         """Disables the fused QKV projection if enabled.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
 
         """
         if self.original_attn_processors is not None:

src/diffusers/models/controlnets/controlnet_xs.py

@@ -980,8 +980,7 @@ def fuse_qkv_projections(self):
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query, key, value)
         are fused. For cross-attention modules, key and value projection matrices are fused.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
         """
         self.original_attn_processors = None
 
@@ -1001,8 +1000,7 @@ def fuse_qkv_projections(self):
     def unfuse_qkv_projections(self):
         """Disables the fused QKV projection if enabled.
 
-        > [!WARNING]
-        > This API is 🧪 experimental.
+        > [!WARNING] > This API is 🧪 experimental.
 
         """
         if self.original_attn_processors is not None:

src/diffusers/models/modeling_flax_utils.py

@@ -227,12 +227,9 @@ def from_pretrained(
                 This can be used to enable mixed-precision training or half-precision inference on GPUs or TPUs. If
                 specified, all the computation will be performed with the given `dtype`.
 
-                > [!TIP]
-                > This only specifies the dtype of the *computation* and does not influence the dtype of model
-                > parameters.
-                >
-                > If you wish to change the dtype of the model parameters, see [`~FlaxModelMixin.to_fp16`] and
-                > [`~FlaxModelMixin.to_bf16`].
+                > [!TIP] > This only specifies the dtype of the *computation* and does not influence the dtype of model
+                > parameters. > > If you wish to change the dtype of the model parameters, see
+                [`~FlaxModelMixin.to_fp16`] and > [`~FlaxModelMixin.to_bf16`].
 
             model_args (sequence of positional arguments, *optional*):
                 All remaining positional arguments are passed to the underlying model's `__init__` method.