Trained for 0 epochs and 1000 steps.

Trained with datasets ['text-embeds-sd3-nofilter', 'photo-concept-bucket', 'dalle3']
Learning rate 1e-06, batch size 6, and 2 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

README.md

@@ -1164,7 +1164,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 500
+- Training steps: 1000
 - Learning rate: 1e-06
 - Effective batch size: 96
   - Micro-batch size: 6
@@ -1182,7 +1182,7 @@ You may reuse the base model text encoder for inference.
 ### photo-concept-bucket
 - Repeats: 0
 - Total number of images: ~557568
-- Total number of aspect buckets: 13
+- Total number of aspect buckets: 10
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -1190,7 +1190,7 @@ You may reuse the base model text encoder for inference.
 ### dalle3
 - Repeats: 0
 - Total number of images: ~984960
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 2
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None

optimizer.bin

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random_states_0.pkl

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scheduler.bin

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training_state.json

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transformer/diffusion_pytorch_model.safetensors

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