Trained for 0 epochs and 50 steps.

Trained with datasets ['text-embeds', 'q1sV22-1024-crop', 'q1sV22-512-crop', 'gen-and-inpaint-q1s-1024-reg']
Learning rate 0.001, batch size 1, and 3 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/FluxBooru-v0.3
VAE: None

pytorch_lora_weights.safetensors

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