Trained for 5 epochs and 10000 steps.

Trained with datasets ['text-embeds', 'mikrei-data-512px']
Learning rate 0.0001, 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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