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53 lines
1.8 KiB
Markdown
53 lines
1.8 KiB
Markdown
---
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license: openrail++
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tags:
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- stable-diffusion
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- text-to-image
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---
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# SD v2.1-base with Zero Terminal SNR (LAION Aesthetic 6+)
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This model is used in [Diffusion Model with Perceptual Loss](https://arxiv.org/abs/2401.00110) paper as the MSE baseline.
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This model is trained using zero terminal SNR schedule following [Common Diffusion Noise Schedules and Sample Steps are Flawed](https://arxiv.org/abs/2305.08891) paper on LAION aesthetic 6+ data.
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This model is finetuned from [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base).
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This model is meant for research demonstration, not for production use.
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## Usage
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```python
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from diffusers import StableDiffusionPipeline
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prompt = "A young girl smiling"
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pipe = StableDiffusionPipeline.from_pretrained("ByteDance/sd2.1-base-zsnr-laionaes6").to("cuda")
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pipe(prompt, guidance_scale=7.5, guidance_rescale=0.7).images[0].save("out.jpg")
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```
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## Related Models
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* [bytedance/sd2.1-base-zsnr-laionaes5](https://huggingface.co/ByteDance/sd2.1-base-zsnr-laionaes5)
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* [bytedance/sd2.1-base-zsnr-laionaes6](https://huggingface.co/ByteDance/sd2.1-base-zsnr-laionaes6)
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* [bytedance/sd2.1-base-zsnr-laionaes6-perceptual](https://huggingface.co/ByteDance/sd2.1-base-zsnr-laionaes6-perceptual)
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## Cite as
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```
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@misc{lin2024diffusion,
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title={Diffusion Model with Perceptual Loss},
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author={Shanchuan Lin and Xiao Yang},
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year={2024},
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eprint={2401.00110},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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@misc{lin2023common,
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title={Common Diffusion Noise Schedules and Sample Steps are Flawed},
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author={Shanchuan Lin and Bingchen Liu and Jiashi Li and Xiao Yang},
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year={2023},
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eprint={2305.08891},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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``` |