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Notes and suggestions:
It works well with some checkpoints and not so well with other. Experiment. Realistic models seem to work best. Or look at suggested resources below, these are ones I was using for sample images.
Don't use any quality tokens, "best quality", "masterpiece" and such. Also don't use negative prompt. Likely it will kill the style.
Weight the embedding against the rest of the prompt. Like, give it 0.7 and the rest of the prompt 0.7 too and see the result and then try to increase/decrease the weight of style token.
Sample images were created in InvokeAI, it has slightly different grammar than A1111. E.g. (crackled eggs)0.5 - everything in brackets gets 0.5 weight.
The embedding has 4 vectors. Training took about 1000 steps. I did it in passes, 600 first then checking results, adjusting strength and adding several 100 step passes.
Have fun.
1. 재게시된 모델의 권리는 원 제작자에게 있습니다.
2. 모델 원작자가 모델을 인증받으려면 공식 채널을 통해 SeaArt.AI 직원에게 문의하세요. 저희는 모든 창작자의 권리를 보호하기 위해 노력합니다. 인증하러 이동
