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semantic-image-editing reviews and mentions
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"SEGA: Instructing Diffusion using Semantic Dimensions": Paper + GitHub repo + web app + Colab notebook for generating images that are variations of a base image generation by specifying secondary text prompt(s). In this example, the secondary text prompt was "smiling". See comment for details.
GitHub repo.
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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)
SEGA ( ml-research/semantic-image-editing change genders/ethnicity whilst retaining composition)
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The Stable Artist: Steering Semantics in Diffusion Latent Space
I don't think there is an online demo but there is source code
https://github.com/ml-research/semantic-image-editing
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www.influxdata.com | 9 May 2024
Stats
ml-research/semantic-image-editing is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of semantic-image-editing is Python.
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