# /// script # requires-python = ">=3.12" # dependencies = [ # "numpy", # "einops", # "pandas", # "matplotlib", # "protobuf", # "torch", # "sentencepiece", # "torchvision", # "transformers", # "timm", # "diffusers", # "sentence-transformers", # "accelerate", # "peft", # "slack-sdk", # ] # /// try: import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B,black-forest-labs/FLUX.2-klein-4B,black-forest-labs/FLUX.2-klein-base-4B,black-forest-labs/FLUX.2-klein-base-9B,black-forest-labs/FLUX.2-klein-9b-fp8,black-forest-labs/FLUX.2-klein-4b-fp8,Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alissonerdx/BFS-Best-Face-Swap") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] with open('Alissonerdx_BFS-Best-Face-Swap_0.txt', 'w', encoding='utf-8') as f: f.write('Everything was good in Alissonerdx_BFS-Best-Face-Swap_0.txt') except Exception as e: import os from slack_sdk import WebClient client = WebClient(token=os.environ['SLACK_TOKEN']) client.chat_postMessage( channel='#hub-model-metadata-snippets-sprint', text='Problem in ', ) with open('Alissonerdx_BFS-Best-Face-Swap_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 # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B,black-forest-labs/FLUX.2-klein-4B,black-forest-labs/FLUX.2-klein-base-4B,black-forest-labs/FLUX.2-klein-base-9B,black-forest-labs/FLUX.2-klein-9b-fp8,black-forest-labs/FLUX.2-klein-4b-fp8,Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alissonerdx/BFS-Best-Face-Swap") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] ``` ERROR: ''') traceback.print_exc(file=f) finally: from huggingface_hub import upload_file upload_file( path_or_fileobj='Alissonerdx_BFS-Best-Face-Swap_0.txt', repo_id='model-metadata/code_execution_files', path_in_repo='Alissonerdx_BFS-Best-Face-Swap_0.txt', repo_type='dataset', )