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README.md
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datasets:
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- p1atdev/pvc
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# pvcxl-v1-lora
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PVC style LoRA trained on [cagliostrolab/animagine-xl-3.0-base](https://huggingface.co/cagliostrolab/animagine-xl-3.0-base).
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Weights for this model are available in Safetensors format.
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[Download](/p1atdev/pvcxl-v1-lora/tree/main) them in the Files & versions tab.
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datasets:
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- p1atdev/pvc
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---
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# pvcxl-v1-lora
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PVC style LoRA trained on [cagliostrolab/animagine-xl-3.0-base](https://huggingface.co/cagliostrolab/animagine-xl-3.0-base).
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Weights for this model are available in Safetensors format.
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[Download](/p1atdev/pvcxl-v1-lora/tree/main) them in the Files & versions tab.
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## Training details
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### Dataset
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Curated high quality 2.5k pvc figure images from [p1atdev/pvc](https://huggingface.co/datasets/p1atdev/pvc)
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[p1atdev/pvc-quality-swinv2-base](https://huggingface.co/p1atdev/pvc-quality-swinv2-base) was used to curate images.
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### Training Config
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|Configuration Item||
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|IaaS|Compute Engine of Google Cloud Platform|
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|GPU|1 x NVIDIA L4 (g2-standard-8)|
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|Dataset size|2576 images|
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|Batch size|4|
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|Training steps|1000+5000 (crashed and resumed)|
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|Train text encoder|False|
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|Image resolution|1024|
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|Optimizer|AdaFactor|
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|Learning rate|constant 1e-5 with 100 steps of warmup|
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