Model Trained on images of Bellara Lutare from Dragon Age

BELLARA LUTARE (DRAGON AGE)

Dataset: 47 images taken in-game with photo modeModel BELLARA_LUTARE Training summary:- Base Model: sdxl_base_v0-9- Precision: fp16- Learning Rate: 0.0003 (UNet), 6e-05 (text encoder)- Epochs: 10, steps per epoch: 94, total steps: 940- Mixed Precision: fp16 with gradient checkpointing- Optimizer: AdamW 8-bit (weight_decay=0.1, betas=[0.9, 0.99])- Scheduler: Cosine with restarts, warmup steps: 47- Gradient Accumulation: 1, Max Grad Norm: 1.0- Token Length: 225, Prior Loss Weight: 1.0- Noise and SNR:- Multires Noise Discount: 0.3, iterations: 6- Min SNR Gamma: 8.0- Network: LoRA (module: <code>networks.lora</code>, alpha: 4, dimension: 8)- Seed: 42, Cache Latents: True, Low-RAM Mode: True- VAE: stabilityai/sdxl-vae- Output Name: BELLARA_LUTARE, Session ID: 1524502124- Source SD Model: hollowstrawberry/67AB2F

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