UrangDiffusion V3.1 - V1.2

Training Configurations

Finetuned from: Animagine XL 3.1

Pretraining:

• Dataset size: ~23,500 images

• GPU: 1xA100 80GB

• Optimizer: AdaFactor

• Unet Learning Rate: 3.75e-6

• Text Encoder Learning Rate: 1.875e-6

• Batch Size: 48

• Gradient Accumulation: 1

• Warmup steps: 100 steps

• Min SNR: 5

• Epoch: 10 (epoch 9 is used)

Finetuning:

• Dataset size: ~6,800 images

• GPU: 1xA100 80GB

• Optimizer: AdaFactor

• Unet Learning Rate: 2e-6

• Text Encoder Learning Rate: - (Train TE set to False)

• Batch Size: 48

• Gradient Accumulation: 1

• Warmup steps: 5%

• Min SNR: 5

• Epoch: 10

• Noise Offset: 0.0357

Wuthering Waves, Zenless Zone Zero and hololiveEN -Justice- have been added to the model.