Instructions to use chestnutlzj/Edit-R1-Qwen-Image-Edit-2509 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chestnutlzj/Edit-R1-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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chestnutlzj/Edit-R1-Qwen-Image-Edit-2509") 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
- Local Apps Settings
- Draw Things
- Xet hash:
- d165f6acd4d6bcc9241be144e1945b821c63e11173c0b3831729f1e8e686883d
- Size of remote file:
- 378 MB
- SHA256:
- ffccd3511ba8a198c2d5f7a630e5af5a7ad5465c77411a15e528bfd1aa289060
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