Instructions to use hf-internal-testing/tiny-qwenimage-edit-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-qwenimage-edit-pipe 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("hf-internal-testing/tiny-qwenimage-edit-pipe", 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:
- 931090afe03cc9533aa1d0093f1ed3502d2971ced3658c91a3635a4670a56e4b
- Size of remote file:
- 19.6 MB
- SHA256:
- 1e29e56879cbbacd35093e92dd0ff99224d5f8a3b9db6fe3ca186cd9a6e14d8d
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