Upload lightx2v_Wan2.2-Distill-Loras_0.py with huggingface_hub

lightx2v_Wan2.2-Distill-Loras_0.py

@@ -1,9 +1,14 @@
 # /// script
 # requires-python = ">=3.12"
 # dependencies = [
+#     "numpy",
+#     "einops",
+#     "pandas",
+#     "protobuf",
 #     "torch",
 #     "torchvision",
 #     "transformers",
+#     "timm",
 #     "diffusers",
 #     "sentence-transformers",
 #     "accelerate",
@@ -13,19 +18,16 @@
 # ///
 
 try:
-    import torch
     from diffusers import DiffusionPipeline
     from diffusers.utils import load_image, export_to_video
     
-    pipe = DiffusionPipeline.from_pretrained("lightx2v/Wan2.2-Distill-Loras", torch_dtype=torch.float16)
-    pipe.to("cuda")
+    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B")
+    pipe.load_lora_weights("lightx2v/Wan2.2-Distill-Loras")
     
     prompt = "A man with short gray hair plays a red electric guitar."
-    image = load_image(
-        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
-    )
+    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
     
-    output = pipe(image=image, prompt=prompt).frames[0]
+    image = pipe(image=input_image, prompt=prompt).frames[0]
     export_to_video(output, "output.mp4")
     with open('lightx2v_Wan2.2-Distill-Loras_0.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in lightx2v_Wan2.2-Distill-Loras_0.txt')
@@ -41,19 +43,16 @@ except Exception as e:
     with open('lightx2v_Wan2.2-Distill-Loras_0.txt', 'a', encoding='utf-8') as f:
         import traceback
         f.write('''```CODE: 
-import torch
 from diffusers import DiffusionPipeline
 from diffusers.utils import load_image, export_to_video
 
-pipe = DiffusionPipeline.from_pretrained("lightx2v/Wan2.2-Distill-Loras", torch_dtype=torch.float16)
-pipe.to("cuda")
+pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B")
+pipe.load_lora_weights("lightx2v/Wan2.2-Distill-Loras")
 
 prompt = "A man with short gray hair plays a red electric guitar."
-image = load_image(
-    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
-)
+input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
 
-output = pipe(image=image, prompt=prompt).frames[0]
+image = pipe(image=input_image, prompt=prompt).frames[0]
 export_to_video(output, "output.mp4")
 ```