Trained for 0 epochs and 1000 steps.

Trained with datasets ['texts', 'image-embeds-local', 'image-embeds-local-512', 'image-embeds-local-1440', 'image-embeds-local-2048', 'signs', 'moviecollection', 'bookcovers', 'shutterstock', 'cinemamix-1mp', 'anatomy', 'signs-512', 'moviecollection-512', 'bookcovers-512', 'shutterstock-512', 'cinemamix-1mp-512', 'anatomy-512', 'signs-1440', 'moviecollection-1440', 'bookcovers-1440', 'shutterstock-1440', 'cinemamix-1mp-1440', 'anatomy-1440']
Learning rate 0.0003, batch size 3, 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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