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:
- 9cbcdc9b833c7eff3e48e9c6e753038703fc17544e9365b28896ded33b4d237a
- Size of remote file:
- 7.31 GB
- SHA256:
- a9d0e8019b750b5e256dbae834d83dfb912003b51b7cf07c13ba441727ee9e5a
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