03/12/2025

• added a legacy LoRa (Areola Flux Mary/aka Mar_eola Flux)

03/07/25

Added v3, saggy, v2 and v1 were burnt out - v3 hit the spot I was looking for.
Added MetArt_tits - enjoy

03/03/25
Added v3, large, v2 was good, but kept it local.

Model Training Summary

Dataset: Trained on over 40 close-up images of large areolas, sourced from various locations (first round).

Captioning: Captions were generated using Koyha_SS with GIT captioning.

Training: Conducted on Civit's onsite trainer, primarily using default settings, targeting approximately 2,000 steps.

Training Configuration:

{ "engine": "kohya", "unetLR": 0.0005, "clipSkip": 1, "loraType": "lora", "keepTokens": 0, "networkDim": 2, "numRepeats": 20, "resolution": 768, "lrScheduler": "cosine_with_restarts", "minSnrGamma": 5, "noiseOffset": 0.1, "targetSteps": 2025, "enableBucket": true, "networkAlpha": 16, "optimizerType": "AdamW8Bit", "textEncoderLR": 0, "maxTrainEpochs": 5, "shuffleCaption": false, "trainBatchSize": 4, "flipAugmentation": false, "lrSchedulerNumCycles": 3 }

Notes:
A lower weight was used to help the model generalize beyond close-up images. Inpainting wasn’t specifically tested, but previous LoRas have handled it well, so feel free to try it out and share your feedback or thoughts.

Support:
Buzz is nice, or a like.. or a post using the model...

Next Steps:
Version 2 is currently in progress as of August 23, 2024.


09/18/24
figured out how to add versions!!!