Trained for 12 epochs and 3000 steps.

Trained with datasets ['text-embeds', 'paltype_rank64']
Learning rate 0.0004, batch size 2, 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-medium-diffusers
VAE: None

pytorch_lora_weights.safetensors

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