Instructions to use fishze/Refacade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fishze/Refacade with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fishze/Refacade", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Rong Xiao<sup>4</sup> <br>
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<sup>*</sup> Equal contribution. <sup>†</sup> Corresponding author.
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<span><sup>1</sup> University of Electronic Science and Technology of China</span> 
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<span><sup>2</sup> The Hong Kong Polytechnic University</span><br>
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<span><sup>3</sup> The Chinese University of Hong Kong</span> 
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<span><sup>4</sup> IntelliFusion Inc.</span> 
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<span><sup>5</sup> Astribot Inc.</span>
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<a href="https://huggingface.co/fishze/Refacade"><img alt="Huggingface Model" src="https://img.shields.io/badge/%F0%9F%A4%97%20Huggingface-Model-brightgreen"></a>
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Rong Xiao<sup>4</sup> <br>
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<sup>*</sup> Equal contribution. <sup>†</sup> Corresponding author.
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</p>
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<a href="https://huggingface.co/fishze/Refacade"><img alt="Huggingface Model" src="https://img.shields.io/badge/%F0%9F%A4%97%20Huggingface-Model-brightgreen"></a>
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