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safe-latent-diffusion reviews and mentions
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Messing with the denoising loop can allow you to reach new places in latent space. Over 8+ different research papers/Auto1111 extension ideas in a single pipe. Load once and do lots of different things (SD 2.1 or 1.5)
SLD ( ml-research/safe-latent-diffusion general image beautifier, more tuneable than a negative prompt, also can now apply to image2image)
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An alternative method to negative prompts has been found that has 5 variables that the user can change. At lower strengths the image is altered less than the same negative prompt. From paper "Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models". Colab notebook included.
GitHub repo.
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ml-research/safe-latent-diffusion is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of safe-latent-diffusion is Python.
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