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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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  datasets:
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  - p1atdev/pvc
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  ---
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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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+ |:-|-|
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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|