ChandlerGIS
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Trained for 85 epochs and 600 steps.
Browse filesTrained with datasets ['text-embeds', 'guimiv3']
Learning rate 0.0002, batch size 8, 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: /data/yihao/FLUX.1-dev
VAE: None
pytorch_lora_weights.safetensors
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