Instructions to use tiny-random/qwen-image-edit-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/qwen-image-edit-plus 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("tiny-random/qwen-image-edit-plus", 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:
- 458c68b27cde96c94e5fd7b83dc0f077b94dfd23b392f68e1ec53415434eee50
- Size of remote file:
- 5.17 MB
- SHA256:
- dadd08659a0b3e8f70e6d9b41b29f05a7e11b47dfb45e6bdf61bbe29d5a2fb87
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