Type | |
Stats | 522 0 |
Reviews | (77) |
Published | Oct 27, 2023 |
Base Model | |
Training | Steps: 3,350 Epochs: 50 |
Usage Tips | Clip Skip: 1 |
Trigger Words | venus park |
Training Images | Download |
Hash | AutoV2 6E7FCC33C6 |
[LoKr + LoRA] Venus Park
Notice:
This model is more for experiments and is not well trained. (it may need extra tags/prompting to reproduce some characterstics)
You should refer to all the example images to check if "the lacking of some features" is due to lacking of some tags.
Usage:
Put this model in to models/lora folder of sd-webui. And use kohaku-xl beta series model to use it.
(This model is trained on sdxl1.0 and I recommend user to use kohaku-xl beta series model)
Introduction
An experiment model for:
LyCORIS preset config system(using different algo/setting for different modules)
LyCORIS character model on SDXL arch
FP8 training for LyCORIS
I trained this model with only 8GB vram. (Without cache TE)
FP8 inference on sd-webui
I implemented some FP8 opt in sd-webui
test-fp8
branch and all the example images are generated with FP8 UNet/TEOnly take 4GB vram when generating the images I post in this model
Training settings:
Batch size: 1
Epoch: 50(without any repeat)
LR: 2e-4/5e-5
Optimizer: AdamW8bit(weight_decay=0.02, betas=(0.9, 0.95))
Bucket Reso: 1024x1024(448~2112)
shuffle caption/caption dropout enabled
More infos
For FP8, I will publish a blog(or note?) for FP8 training and inference recently. Stay tuned.
For preset config system, plz refer to the docs of LyCORIS
For more informations: just comment below.