Description
Embedding trained up to 2000 steps on ‘v1-5-pruned-emaonly’ checkpoint, so it should works well with most of v1.5 forks and mixes. I used dataset of 48 images with 680×680 resolution, and learning rate: “0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001”.
Preview images were rendered on checkpoint: pirsusEpicRealism_v12 (hash: 00d4f7a3be)
If you are going to remake preview images you should have:
checkpoint: pirsusEpicRealism_v12
lora: LowRA, lit, RSERomantic_RSESofiko_RSEEmma-v1, tangbohu-detailer_1.0, xiaoshazi, jah (by sd_storm), ww1ger_v0.1
embeddings: badhandv4, kkw-Extreme-Neg, ng_deepnegative_v1_75t, kkw-ph1, AIDA_SonyaM, BadDream, FastNegativeV2, UnrealisticDream, kkw-old, AS-Young-neg
Download link to AIDA_SonyaM embedding will be available for you after purchase. For your comfort I packed AIDA_SonyaM.pt into .zip archive with AIDA_SonyaM.preview.png and AIDA_SonyaM.txt , preview and description are compatible with AUTOMATIC1111 extra networks menu.
Also you will get .zip archive with all preview images and generation data for them.
Purchasing this asset you will achieve rights for selling images generated with AIDA_SonyaM embedding. If you want say special thanks to me, you can add additional amount to your payment.
Please contact me if you need some extended rights for sharing or selling AIDA_SonyaM, merging AIDA_SonyaM with other embedding, using AIDA_SonyaM in generation services and so on.
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