Trained for 8 epochs and 2500 steps.

Trained with datasets ['encoder-cache', 'juggalos-aspect-bucket', 'juggalos-crop', 'juggalos-aspect-bucket-1mp', 'juggalos-crop-1mp']
Learning rate 5e-06, batch size 6, 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: black-forest-labs/FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

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