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README.md
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The total dataset is made of 742 pictures. It was trained on [Stable diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) with the updated VAE. I used [EveryDream](https://github.com/victorchall/EveryDream2trainer) to do the training, 100 total repeat per picture. The pictures were tagged using long prompts, and no specific trigger word is needed. The name of the contests themselves have been added to the caption and can act as styles (Synesthesia, Futuristic clothes, ...)
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[This model is also available here](https://huggingface.co/Guizmus/SDArt_Complete_Edition768) in a version trained on 2.1 as a base.
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## Trained themes
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The total dataset is made of 742 pictures. It was trained on [Stable diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) with the updated VAE. I used [EveryDream](https://github.com/victorchall/EveryDream2trainer) to do the training, 100 total repeat per picture. The pictures were tagged using long prompts, and no specific trigger word is needed. The name of the contests themselves have been added to the caption and can act as styles (Synesthesia, Futuristic clothes, ...)
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[This model is also available here](https://huggingface.co/Guizmus/SDArt_Complete_Edition768) in a version trained on 2.1 as a base.
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## Trained themes
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