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ByteDance/sd2.1-base-zsnr-laionaes5
sd2.1-base-zsnr-laionaes5 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 is the official model for Common Diffusion Noise Schedules and Sample Steps are Flawed paper.
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From the Hugging Face model README
This is the official model for Common Diffusion Noise Schedules and Sample Steps are Flawed paper.
This model is trained using the zero terminal SNR schedule on LAION aesthetic 5+ 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-laionaes5").to("cuda")
pipe(prompt, guidance_scale=7.5, guidance_rescale=0.7).images[0].save("out.jpg")
@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}
}