Embedding trained with Automatic1111 v1.3.2 (Python: 3.10.9 • torch: 2.0.1+cu118 • xformers: 0.0.17 • gradio: 3.32.0)Checkpoint: v1-5-pruned.ckpt • VAE: vae-ft-mse-840000-ema-pruned.ckpt
Training relevant settings:
Number of vectors per token: 8
Embedding Learning rate: 0.005
Gradient Clipping: disabled
Batch size: 1
Embedding trained with Automatic1111 v1.3.2 (Python: 3.10.9 • torch: 2.0.1+cu118 • xformers: 0.0.17 • gradio: 3.32.0)
Checkpoint: v1-5-pruned.ckpt • VAE: vae-ft-mse-840000-ema-pruned.ckpt
Training relevant settings:
Number of vectors per token: 8
Embedding Learning rate: 0.005
Gradient Clipping: disabled
Batch size: 1