cyber-meow
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add grasswonder
Browse files- grasswonder-umamusume/README.md +52 -0
- grasswonder-umamusume/lora/epoch-000010.safetensors +3 -0
- grasswonder-umamusume/lora/last.safetensors +3 -0
- grasswonder-umamusume/samples/lora-00014-2366006784.png +0 -0
- grasswonder-umamusume/samples/lora-00029-4052818765.png +0 -0
- grasswonder-umamusume/samples/lora-00030-4052818765.png +0 -0
- grasswonder-umamusume/samples/native-00017-3566847929.png +0 -0
- grasswonder-umamusume/samples/native-00020-1546518749.png +0 -0
- grasswonder-umamusume/samples/native-00025-570458801.png +0 -0
- suremio-nozomizo-eilanya-maplesally/.README.md.swp +0 -0
- suremio-nozomizo-eilanya-maplesally/README.md +1 -0
grasswonder-umamusume/README.md
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This folder contains models trained for the character grass wonder of umamusume
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The main goal is to test the difference between native training and lora
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You can prompt with
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- GrassWonder
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- GrassWonder Toresen Uniform
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- GrassWonder Racing Uniform
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### Dataset
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Totat size 376 (no regularization is used)
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- Face crop: 149
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- Racing uniform: 94
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- Toresen uniform: 39
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- Other grasswonder images: 94
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### Base model
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[NMFSAN](https://huggingface.co/Crosstyan/BPModel/blob/main/NMFSAN/README.md) so you can have different styles
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### Native training
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Trained with [Kohya trainer](https://github.com/Linaqruf/kohya-trainer)
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- training of text encoder turned on
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- learning rate 1e-6
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- batch size 1
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- clip skip 2
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- number of training steps 7520 (20 epochs)
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*Examples*
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
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
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
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### LoRA embedding
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Please refer to [LoRA Training Guide](https://rentry.org/lora_train)
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- training of text encoder turned on
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- network dimension 128
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- learning rate 1e-4
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- batch size 6
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- clip skip 2
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- number of training steps 7520 (20 epochs)
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*Examples*
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
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
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
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grasswonder-umamusume/lora/epoch-000010.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6abf619b7e753e50d7d40c00c70f7adf72ef6bdbafd9768c1493cf36cf3d1b16
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size 151073665
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grasswonder-umamusume/lora/last.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2c5b27aef0f0fd58fe393c95ece6ad5d158998cd4500709d2317029e75a0270
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size 151073665
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grasswonder-umamusume/samples/lora-00014-2366006784.png
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grasswonder-umamusume/samples/lora-00029-4052818765.png
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grasswonder-umamusume/samples/lora-00030-4052818765.png
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grasswonder-umamusume/samples/native-00017-3566847929.png
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grasswonder-umamusume/samples/native-00020-1546518749.png
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grasswonder-umamusume/samples/native-00025-570458801.png
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suremio-nozomizo-eilanya-maplesally/.README.md.swp
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Binary file (12.3 kB). View file
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suremio-nozomizo-eilanya-maplesally/README.md
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@@ -65,6 +65,7 @@ Trained with [Kohya trainer](https://github.com/Linaqruf/kohya-trainer)
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Please refer to [LoRA Training Guide](https://rentry.org/lora_train)
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- training of text encoder turned on
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- learning rate 1e-4
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- batch size 6
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- clip skip 2
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Please refer to [LoRA Training Guide](https://rentry.org/lora_train)
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- training of text encoder turned on
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- network dimension 128
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- learning rate 1e-4
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- batch size 6
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- clip skip 2
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