Trained for 0 epochs and 100 steps.

Trained with datasets ['text-embeds-flux', 'text-embeds-photocb-flux', 'celebrities', 'comicstrips', 'movieposters', 'normalnudes', 'propagandaposters', 'guys', 'pixel-art', 'signs', 'moviecollection', 'bookcovers', 'nijijourney', 'experimental', 'ethnic', 'sports', 'gay', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'sfwbooru']
Learning rate 3e-06, batch size 8, 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: black-forest-labs/FLUX.1-dev
VAE: None

README.md

@@ -160,8 +160,8 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 300
-- Learning rate: 0.0002
+- Training steps: 100
+- Learning rate: 3e-06
 - Effective batch size: 64
   - Micro-batch size: 8
   - Gradient accumulation steps: 1
@@ -371,7 +371,7 @@ You may reuse the base model text encoder for inference.
 ### sfwbooru
 - Repeats: 0
 - Total number of images: ~639056
-- Total number of aspect buckets: 59
+- Total number of aspect buckets: 69
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None

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training_state-architecture.json

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training_state.json

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