Upload lightx2v_Qwen-Image-Lightning_1.py with huggingface_hub

lightx2v_Qwen-Image-Lightning_1.py

@@ -0,0 +1,53 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    from diffusers import DiffusionPipeline
+    
+    pipe = DiffusionPipeline.from_pretrained("lightx2v/Qwen-Image-Lightning")
+    
+    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+    image = pipe(prompt).images[0]
+    with open('lightx2v_Qwen-Image-Lightning_1.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in lightx2v_Qwen-Image-Lightning_1.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/lightx2v_Qwen-Image-Lightning_1.txt|lightx2v_Qwen-Image-Lightning_1.txt>',
+    )
+
+    with open('lightx2v_Qwen-Image-Lightning_1.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained("lightx2v/Qwen-Image-Lightning")
+
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image = pipe(prompt).images[0]
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='lightx2v_Qwen-Image-Lightning_1.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='lightx2v_Qwen-Image-Lightning_1.txt',
+        repo_type='dataset',
+    )