Upload AmirKerr_ThisPerson_0.py with huggingface_hub

AmirKerr_ThisPerson_0.py

@@ -22,16 +22,17 @@
 try:
     import torch
     from diffusers import DiffusionPipeline
-    from diffusers.utils import load_image
+    from diffusers.utils import load_image, export_to_video
     
     # switch to "mps" for apple devices
     pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
     pipe.load_lora_weights("AmirKerr/ThisPerson")
     
-    prompt = "Turn this cat into a dog"
-    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
+    prompt = "A man with short gray hair plays a red electric guitar."
+    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
     
-    image = pipe(image=input_image, prompt=prompt).images[0]
+    image = pipe(image=input_image, prompt=prompt).frames[0]
+    export_to_video(output, "output.mp4")
     with open('AmirKerr_ThisPerson_0.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in AmirKerr_ThisPerson_0.txt')
 except Exception as e:
@@ -48,16 +49,17 @@ except Exception as e:
         f.write('''```CODE: 
 import torch
 from diffusers import DiffusionPipeline
-from diffusers.utils import load_image
+from diffusers.utils import load_image, export_to_video
 
 # switch to "mps" for apple devices
 pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
 pipe.load_lora_weights("AmirKerr/ThisPerson")
 
-prompt = "Turn this cat into a dog"
-input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
+prompt = "A man with short gray hair plays a red electric guitar."
+input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
 
-image = pipe(image=input_image, prompt=prompt).images[0]
+image = pipe(image=input_image, prompt=prompt).frames[0]
+export_to_video(output, "output.mp4")
 ```
 
 ERROR: