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SD Times Open-Source Project of the Week: Stable Diffusion

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Stable Diffusion is a latent text-to-image diffusion model trained on 512×512 images from a subset of the LAION-5B database. The model utilizes a frozen CLIP ViT-L/14 text encoder to condition its output on text prompts. It incorporates an 860M UNet and a 123M text encoder, making it a relatively lightweight model that can run on … continue reading The post SD Times Open-Source Project of the Week: Stable Diffusion appeared first on SD Times.

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