Trained for 6 epochs and 5000 steps.

Trained with datasets ['text-embed-cache', 'napoleon-512', 'napoleon-1024', 'napoleon-512-crop', 'napoleon-1024-crop']
Learning rate 0.00016, batch size 1, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: stabilityai/stable-diffusion-3.5-large
VAE: None

pytorch_lora_weights.safetensors

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