Upload lightx2v_Wan2.2-Distill-Loras_1.py with huggingface_hub

lightx2v_Wan2.2-Distill-Loras_1.py

@@ -11,20 +11,7 @@
 # ///
 
 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")
-    
-    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"
-    )
-    
-    output = pipe(image=image, prompt=prompt).frames[0]
-    export_to_video(output, "output.mp4")
+    pip install -U diffusers transformers
     with open('lightx2v_Wan2.2-Distill-Loras_1.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in lightx2v_Wan2.2-Distill-Loras_1.txt')
 except Exception as e:
@@ -39,20 +26,7 @@ except Exception as e:
     with open('lightx2v_Wan2.2-Distill-Loras_1.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")
-
-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"
-)
-
-output = pipe(image=image, prompt=prompt).frames[0]
-export_to_video(output, "output.mp4")
+pip install -U diffusers transformers
 ```
 
 ERROR: