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
- Draw Things
add tags for better discoverability and usability :) (#2)
Browse files- add tags for better discoverability and usability :) (b93f139a59475fd43e2142c78bd661d07bac2d11)
Co-authored-by: Linoy Tsaban <linoyts@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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# Qwen-Image-Edit Face Generation Image Model
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## Model Introduction
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license: apache-2.0
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pipeline_tag: image-to-image
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library_name: diffusers
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tags:
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- lora
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# Qwen-Image-Edit Face Generation Image Model
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## Model Introduction
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