These embeddings are trained on movies set in Ancient Greece and Rome from 50s to the 2010s. I ultimately wanted something that could combine the classic Gladiator aesthetic and the realism of live action cinematography.
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To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a compatible model or you will get errors!
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The embedding was trained on 351 768x768 images that were cropped and tagged using BLIP for training then manually corrected. (This is a painstaking process)
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Like most other 2.1 textual inversions this works best when paired up with other embeddings and good negative prompting. Check my examples for ideas.
This version will not be the last. I want more coherence on the armor and togas. But the settings and architecture are where I want them.
Batch size of 10 and Gradient accumulation of 36.
Learning rate: 0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001:3000, 0.0005
Go ahead and upload yours!
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