Description
Embedding trained for 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 60 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_v31Pruned (hash: 00d4f7a3be)
If you are going to remake all preview images you should have:
checkpoint: pirsusEpicRealism_v31Pruned.
lora: LowRA, RSERomantic_RSESofiko_RSEEmma-v1, tangbohu-detailer_1.0, xiaoshazi.
embeddings: BadDream, FastNegativeV2, UnrealisticDream, badhandv4, kkw-Extreme-Neg, ng_deepnegative_v1_75t, kkw-ph1, AIDA_IndiWoo2017, AS-Young-neg, kkw-old.
Download link to AIDA_IndiWoo2017 embedding will be available for you after purchase. For your comfort I packed AIDA_IndiWoo2017.pt into .zip archive with AIDA_IndiWoo2017.preview.png and AIDA_IndiWoo2017.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_IndiWoo2017 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_IndiWoo2017, merging AIDA_IndiWoo2017 with other embedding, using AIDA_IndiWoo2017 in generation services and so on.
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