Type | |
Stats | 151 22 131 |
Reviews | (17) |
Published | Oct 4, 2024 |
Base Model | |
Training | Epochs: 80 |
Usage Tips | Clip Skip: 1 Strength: 1 |
Hash | AutoV2 405F392251 |
Newest version: 80 Epochs, 600 steps, 1024px, .0004 LR, 8 Network Dim, 16 Network alpha.
Good luck with my newest version! I hope you enjoy it.
Current title card images generated with 20 steps DEIS + ddim_uniform.
I use DEIS + DDIM Uniform. I am generating at a base resolution then upscaling once with Ultimate SD Upscaler by 1.6, using facedetailer, then another Ultimate SD Upscaler by 1.25. The upscaler model is RealEsrgan_x4plus_anime6B.
An 80 epoch lora of 60 captioned Nikke (in-game asset) character images.
Trained with the following settings:
| Engine | kohya | | Epochs | 80 | | Num Repeats | 1 | | Train Batch Size | 4 | | Steps | 600 |
| Resolution | 1024 | | LoRA Type | lora | | Enable Bucket | Enabled | | Shuffle Tags | Enabled |
| Keep Tokens | 1 | | Clip Skip | 1 | | Flip Augmentation | Enabled | | Unet LR | 0.00040 |
| Text Encoder LR | 0.00010 | | LR Scheduler | cosine_with_restarts | | LR Scheduler Cycles| 3 |
| Min SNR Gamma | 5 | | Network Dim | 8 | | Network Alpha | 16 | | Noise Offset | 0.10 |
| Optimizer | AdamW8Bit | | Optimizer Args | weight_decay=0.01,<br>eps=1e-8,<br>betas=(0.9, 0.999) |