Kohaku XL epsilon rev2
This model is an updated version of Kohaku XL Epsilon rev1.
join us: https://discord.gg/tPBsKDyRR5
Rev2 Features
Resumed from Kohaku XL Epsilon rev1
1.56M images, 5epoch
Trained on selected artists' artworks and images about selected series/games
Trained on PVC figure photos, can generate PVC style without any additional models
Usage (PLEASE READ THIS SECTION)
Format: "<1girl/1boy/1other/...>, <character>, <series>, <artists>, <general tags>, <quality tags>, <year tags>, <meta tags>, <rating tags>"
Special Tags
Quality tags: masterpiece, best quality, great quality, good quality, normal quality, low quality, worst quality
Rating tags: safe, sensitive, nsfw, explicit
Date tags: newest, recent, mid, early, old
Rating tags
General: safe
Sensitive: sensitive
Questionable: nsfw
Explicit: nsfw, explicit
Resolution
This model is trained for resolutions from ARB 1024x1024 with minimum resolution 256 and maximum resolution 4096. This means you can use the standard SDXL resolution. However, opting for a slightly higher resolution than 1024x1024 is recommended. Applying a hires-fix is also suggested for better results.
Training
Hardware: Quad RTX 3090s
Num Train Images: 1,536,902
Total Epoch: 5
Total Steps: 15015
Training Time: 410 hours (wall time)
Batch Size: 4
Grad Accumulation Step: 32
Equivalent Batch Size: 512
Optimizer: Lion8bit
Learning Rate: 1e-5 for UNet / 2e-6 for TE
LR Scheduler: Cosine (with warmup)
Warmup Steps: 1000
Weight Decay: 0.1
Betas: 0.9, 0.95
Min SNR Gamma: 5
Noise Offset: 0.0357
Resolution: 1024x1024
Min Bucket Resolution: 256
Max Bucket Resolution: 4096
Mixed Precision: FP16
Caption Tag Dropout: 0.2
Caption Dropout: 0.05
License:
Fair-AI-public-1.0-sd
