Instructions to use DiffSynth-Studio/Qwen-Image-Edit-F2P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffSynth-Studio/Qwen-Image-Edit-F2P 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("DiffSynth-Studio/Qwen-Image-Edit-F2P") 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
Download assets/qwen_woman_0.jpg from DiffSynth-Studio/Qwen-Image-Edit-F2P: direct link, hf CLI and curl.
- Browser
- Download file 134 kB
-
https://huggingface.co/DiffSynth-Studio/Qwen-Image-Edit-F2P/resolve/main/assets/qwen_woman_0.jpg
- Command line
-
hf download hf://DiffSynth-Studio/Qwen-Image-Edit-F2P/assets/qwen_woman_0.jpg
-
curl -L -o qwen_woman_0.jpg https://huggingface.co/DiffSynth-Studio/Qwen-Image-Edit-F2P/resolve/main/assets/qwen_woman_0.jpg
134 kB

- Xet hash:
- b542e946ead8fa76807499585e95f4d2d7ddd603128e4a04efa3fe5847391211
- Size of remote file:
- 134 kB
- SHA256:
- 5d306379835b67bfa75221c911f4b825f7fafa33177ba4386cec527f5eb165e9
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