![[LyCO-exp] ヴェニュスパーク venus park (umamusume)版本LoKr+LoRAv1 (ID: 201232)](https://image.1111down.com/xG1nkqKTMzGDvpLrqFT7WA/e4d2b90a-07a0-4a2d-84df-d9523eaecfd6/width=450/3202875.jpeg)
[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:
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LyCORIS preset config system(using different algo/setting for different modules)
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LyCORIS character model on SDXL arch
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FP8 training for LyCORIS
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I trained this model with only 8GB vram. (Without cache TE)
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FP8 inference on sd-webui
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I implemented some FP8 opt in sd-webui
test-fp8
branch and all the example images are generated with FP8 UNet/TE -
Only take 4GB vram when generating the images I post in this model
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Training settings:
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Batch size: 1
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Epoch: 50(without any repeat)
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LR: 2e-4/5e-5
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Optimizer: AdamW8bit(weight_decay=0.02, betas=(0.9, 0.95))
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Bucket Reso: 1024x1024(448~2112)
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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.
描述:
训练词语: venus park
名称: venus_park_dataset_and_config.zip
大小 (KB): 14274
类型: Training Data
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
名称: venus_park_xl.safetensors
大小 (KB): 58404
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success