make fix-copies

Author: a-r-r-o-w

src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py

@@ -213,6 +213,7 @@ def __init__(
         self.vae_scale_factor_spatial = self.vae.spatial_compression_ratio if getattr(self, "vae", None) else 8
         self.video_processor = VideoProcessor(vae_scale_factor=self.vae_scale_factor_spatial)
 
+    # Copied from diffusers.pipelines.hunyuan_video.pipeline_hunyuan_video.HunyuanVideoPipeline._get_llama_prompt_embeds
     def _get_llama_prompt_embeds(
         self,
         prompt: Union[str, List[str]],
@@ -279,6 +280,7 @@ def _get_llama_prompt_embeds(
 
         return prompt_embeds, prompt_attention_mask
 
+    # Copied from diffusers.pipelines.hunyuan_video.pipeline_hunyuan_video.HunyuanVideoPipeline._get_clip_prompt_embeds
     def _get_clip_prompt_embeds(
         self,
         prompt: Union[str, List[str]],
@@ -318,6 +320,7 @@ def _get_clip_prompt_embeds(
 
         return prompt_embeds
 
+    # Copied from diffusers.pipelines.hunyuan_video.pipeline_hunyuan_video.HunyuanVideoPipeline.encode_prompt
     def encode_prompt(
         self,
         prompt: Union[str, List[str]],
@@ -354,6 +357,7 @@ def encode_prompt(
 
         return prompt_embeds, pooled_prompt_embeds, prompt_attention_mask
 
+    # Copied from diffusers.pipelines.hunyuan_video.pipeline_hunyuan_video.HunyuanVideoPipeline.check_inputs
     def check_inputs(
         self,
         prompt,

src/diffusers/utils/dummy_torch_and_transformers_objects.py

@@ -617,6 +617,21 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["torch", "transformers"])
 
 
+class HunyuanSkyreelsImageToVideoPipeline(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 HunyuanVideoPipeline(metaclass=DummyObject):
     _backends = ["torch", "transformers"]