Trained for 9 epochs and 100 steps.

Trained with datasets ['text-embeds', 'image-embeds', 'julia']
Learning rate 1.0, 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 'linspace' timestep spacing.
Base model: black-forest-labs/FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

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