Instructions to use OPPOer/Qwen-Image-Edit-2509-13B-4steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OPPOer/Qwen-Image-Edit-2509-13B-4steps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OPPOer/Qwen-Image-Edit-2509-13B-4steps", dtype=torch.bfloat16, device_map="cuda") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c41968b952e3e4bdf23584cf4ef83157c516461d76323355fa73a7891280da66
- Size of remote file:
- 9.97 GB
- SHA256:
- 65b4e2a3ceb7f2d54b62f210a8b27e7da0f9557a2851882e61228dd8c80add19
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