make style, make quality and make fix-copies

Author: feice-huang

src/diffusers/models/transformers/transformer_joyimage.py

@@ -330,8 +330,6 @@ def forward(
         return hidden_states, encoder_hidden_states
 
 
-# ---------------------------------------------------------------------------
-# Copied from diffusers.models.transformers.transformer_wan.WanTimeTextImageEmbedding
 class JoyImageTimeTextImageEmbedding(nn.Module):
     def __init__(
         self,
@@ -566,9 +564,7 @@ def forward(
         # main loop
         for block in self.double_blocks:
             if torch.is_grad_enabled() and self.gradient_checkpointing:
-                img, txt = self._gradient_checkpointing_func(
-                    block, img, txt, vec, (vis_freqs, txt_freqs)
-                )
+                img, txt = self._gradient_checkpointing_func(block, img, txt, vec, (vis_freqs, txt_freqs))
             else:
                 img, txt = block(
                     hidden_states=img,
@@ -592,4 +588,3 @@ def forward(
         if not return_dict:
             return (img,)
         return Transformer2DModelOutput(sample=img)
-

src/diffusers/pipelines/joyimage/image_processor.py

@@ -15,7 +15,6 @@
 import math
 from typing import Tuple
 
-import torch
 from PIL import Image
 
 from ...configuration_utils import register_to_config

src/diffusers/pipelines/joyimage/pipeline_joyimage_edit.py

@@ -5,7 +5,6 @@
 import torch
 from PIL import Image
 from transformers import (
-    AutoProcessor,
     Qwen2Tokenizer,
     Qwen3VLForConditionalGeneration,
     Qwen3VLProcessor,

src/diffusers/utils/dummy_pt_objects.py

@@ -1290,7 +1290,7 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch"])
 
 
-class JoyImageEditTransformer3DModel(metaclass=DummyObject):
+class HunyuanVideo15Transformer3DModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
@@ -1305,7 +1305,7 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch"])
 
 
-class HunyuanVideo15Transformer3DModel(metaclass=DummyObject):
+class HunyuanVideoFramepackTransformer3DModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
@@ -1320,7 +1320,7 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch"])
 
 
-class HunyuanVideoFramepackTransformer3DModel(metaclass=DummyObject):
+class HunyuanVideoTransformer3DModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
@@ -1335,7 +1335,7 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch"])
 
 
-class HunyuanVideoTransformer3DModel(metaclass=DummyObject):
+class I2VGenXLUNet(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
@@ -1350,7 +1350,7 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch"])
 
 
-class I2VGenXLUNet(metaclass=DummyObject):
+class JoyImageEditTransformer3DModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):

src/diffusers/utils/dummy_torch_and_transformers_objects.py

@@ -1907,6 +1907,36 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch", "transformers"])
 
 
+class JoyImageEditPipeline(metaclass=DummyObject):
+    _backends = ["torch", "transformers"]
+
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["torch", "transformers"])
+
+    @classmethod
+    def from_config(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+    @classmethod
+    def from_pretrained(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+
+class JoyImageEditPipelineOutput(metaclass=DummyObject):
+    _backends = ["torch", "transformers"]
+
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["torch", "transformers"])
+
+    @classmethod
+    def from_config(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+    @classmethod
+    def from_pretrained(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+
 class Kandinsky3Img2ImgPipeline(metaclass=DummyObject):
     _backends = ["torch", "transformers"]
 
@@ -2567,21 +2597,6 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch", "transformers"])
 
 
-class JoyImageEditPipeline(metaclass=DummyObject):
-    _backends = ["torch", "transformers"]
-
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["torch", "transformers"])
-
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["torch", "transformers"])
-
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["torch", "transformers"])
-
-
 class Lumina2Pipeline(metaclass=DummyObject):
     _backends = ["torch", "transformers"]