Trained for 2 epochs and 1000 steps.

Trained with datasets ['text-embed-cache', 'pseudo-camera-10k-512', 'pseudo-camera-10k-1024', 'pseudo-camera-10k-512-crop', 'pseudo-camera-10k-1024-crop']
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: black-forest-labs/FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

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