Instructions to use prithivMLmods/Qwen-Image-Edit-AIO-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Qwen-Image-Edit-AIO-FP8 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("prithivMLmods/Qwen-Image-Edit-AIO-FP8", 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
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This repository follows the same release notes, terms and conditions, and license as the original model page, [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit-2509).
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> [!IMPORTANT]
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This repository also contains experimental LLM compressed editions of the Qwen image edit models. Feel free to ignore those editions if you are struggling with them or unable to mount them.
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This repository follows the same release notes, terms and conditions, and license as the original model page, [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit-2509).
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> [!IMPORTANT]
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This repository also contains experimental LLM compressed (compressed-tensors) editions of the Qwen image edit models. Feel free to ignore those editions if you are struggling with them or unable to mount them.
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