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--- |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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--- |
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This model has been pushed to the Hub using the Diffusers library: |
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- Repo: https://github.com/Huage001/LinFusion |
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- Paper: https://huggingface.co/papers/2409.02097 |
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* **Basic Usage of LinFusion:** |
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```python |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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from src.linfusion import LinFusion |
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from src.tools import seed_everything |
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sd_repo = "Lykon/dreamshaper-8" |
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pipeline = AutoPipelineForText2Image.from_pretrained( |
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sd_repo, torch_dtype=torch.float16, variant="fp16" |
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).to(torch.device("cuda")) |
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linfusion = LinFusion.construct_for(pipeline) |
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seed_everything(123) |
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image = pipeline( |
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"An astronaut floating in space. Beautiful view of the stars and the universe in the background." |
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).images[0] |
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``` |
