MohamedRashad commited on
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Trained for 2 epochs and 300 steps.

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Trained with datasets ['text-embeds', 'civitai-images']
Learning rate 8e-07, batch size 1, and 4 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: stabilityai/stable-diffusion-3-medium-diffusers
VAE: None

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  1. pytorch_lora_weights.safetensors +3 -0
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