Instructions to use wolf1280/Qwen-Image-Edit-2509 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolf1280/Qwen-Image-Edit-2509 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("wolf1280/Qwen-Image-Edit-2509", 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
Download processor/tokenizer.json from wolf1280/Qwen-Image-Edit-2509: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/wolf1280/Qwen-Image-Edit-2509/resolve/main/processor/tokenizer.json
- Command line
-
hf download hf://wolf1280/Qwen-Image-Edit-2509/processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/wolf1280/Qwen-Image-Edit-2509/resolve/main/processor/tokenizer.json
11.4 MB
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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