Instructions to use OPPOer/Qwen-Image-Edit-Pruning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OPPOer/Qwen-Image-Edit-Pruning 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("OPPOer/Qwen-Image-Edit-Pruning", 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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Browse files
README.md
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@@ -43,7 +43,7 @@ import os
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from PIL import Image
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import time
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import torch
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model_name = "OPPOer/Qwen-Image-Edit-Pruning
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pipe = QwenImageEditPipeline.from_pretrained(model_name, torch_dtype=torch.bfloat16)
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pipe = pipe.to('cuda')
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from PIL import Image
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import time
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import torch
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model_name = "OPPOer/Qwen-Image-Edit-Pruning"
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pipe = QwenImageEditPipeline.from_pretrained(model_name, torch_dtype=torch.bfloat16)
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pipe = pipe.to('cuda')
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