Dataset: 32 images taken in-game with external screenshot tool
Model ARRISA summary:
- Base Model: sdxl_base_v0-9
- Precision: fp16
- Learning Rate: 0.0003 (UNet), 6e-05 (text encoder)
- Epochs: 12, steps per epoch: 80, total steps: 960
- 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: 48
- 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: networks.lora, alpha: 4, dimension: 8)
- Seed: 42, Cache Latents: True, Low-RAM Mode: True
- VAE: stabilityai/sdxl-vae
- Output Name: ARRISA, Session ID: 1055024336
- Source SD Model: hollowstrawberry/67AB2F
