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Publish model

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README.md CHANGED
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  ---
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- license: openrail
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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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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+
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+ # SD v2.1-base with Zero Terminal SNR (LAION Aesthetic 6+)
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+
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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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+
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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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+
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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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+
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+ This model is meant for research demonstration, not for production use.
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+
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+ ## Usage
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+
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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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+
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+ ## Related Models
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+
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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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+
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+
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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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+
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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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+ ```
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