elasticBottle
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Trained for 333 epochs and 2000 steps.
Browse filesTrained with datasets ['text-embeds', 'default_dataset']
Learning rate 0.00012, 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: black-forest-labs/FLUX.1-dev
VAE: None
pytorch_lora_weights.safetensors
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