Instructions to use ovedrive/Qwen-Image-Edit-2509-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/Qwen-Image-Edit-2509-4bit 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("ovedrive/Qwen-Image-Edit-2509-4bit", 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:
- 37a99d4707fd52a6f8d7a472eb043e9a337bd6cd20159b0eff3a80a2eb61537b
- Size of remote file:
- 281 MB
- SHA256:
- 2b727105e5dbd38583aee6a600cad89d2c911ed6592b728702fd4bb60f108704
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