DragonQuix
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Trained for 3 epochs and 1600 steps.
Browse filesTrained with datasets ['text-embeds', 'q1sV16-1024-crop', 'q1sV16-512-crop', 'gen-and-inpaint-q1s-1024-reg']
Learning rate 6e-05, 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: black-forest-labs/FLUX.1-dev
VAE: black-forest-labs/FLUX.1-dev
pytorch_lora_weights.safetensors
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