Trained for 15 epochs and 5000 steps.
Browse filesTrained with datasets ['texts', 'reg-512', 'reg-1024', 'cheechandchong-uncropped-512', 'cheechandchong-cropped-512', 'cheechandchong-uncropped-1024', 'cheechandchong-cropped-1024']
Learning rate 0.0001, batch size 4, 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: stabilityai/stable-diffusion-3.5-medium
VAE: None
pytorch_lora_weights.safetensors
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