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ByteDance/sd2.1-base-zsnr-laionaes6
sd2.1-base-zsnr-laionaes6 is a text-to-image model from ByteDance. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
This model is used in Diffusion Model with Perceptual Loss paper as the MSE baseline.
Downloads · 30 days
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From the Hugging Face model README
This model is used in Diffusion Model with Perceptual Loss paper as the MSE baseline.
This model is trained using zero terminal SNR schedule following Common Diffusion Noise Schedules and Sample Steps are Flawed paper on LAION aesthetic 6+ data.
This model is finetuned from stabilityai/stable-diffusion-2-1-base.
This model is meant for research demonstration, not for production use.
from diffusers import StableDiffusionPipeline
prompt = "A young girl smiling"
pipe = StableDiffusionPipeline.from_pretrained("ByteDance/sd2.1-base-zsnr-laionaes6").to("cuda")
pipe(prompt, guidance_scale=7.5, guidance_rescale=0.7).images[0].save("out.jpg")
@misc{lin2024diffusion,
title={Diffusion Model with Perceptual Loss},
author={Shanchuan Lin and Xiao Yang},
year={2024},
eprint={2401.00110},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{lin2023common,
title={Common Diffusion Noise Schedules and Sample Steps are Flawed},
author={Shanchuan Lin and Bingchen Liu and Jiashi Li and Xiao Yang},
year={2023},
eprint={2305.08891},
archivePrefix={arXiv},
primaryClass={cs.CV}
}