Trained for 5 epochs and 9500 steps.
Browse filesTrained with datasets ['text-embeds', 'mikrei-data-512px']
Learning rate 0.0003, 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: terminusresearch/sana-1.6b-1024px
VAE: None
pytorch_lora_weights.safetensors
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