Trained for 9 epochs and 23500 steps.

Trained with datasets ['text-embeds', 'shutterstock', 'nijijourney', 'bg20k-1024', 'photo-aesthetics', 'text-1mp', 'cinemamix-1mp']
Learning rate 1e-06, batch size 16, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'linspace' timestep spacing.
Base model: terminusresearch/pixart-900m-1024-ft-v0.6
VAE: madebyollin/sdxl-vae-fp16-fix

README.md

@@ -552,7 +552,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 9
-- Training steps: 23000
+- Training steps: 23500
 - Learning rate: 1e-06
 - Effective batch size: 16
   - Micro-batch size: 16

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training_state.json

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