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stable-diffusion
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PTX0 commited on
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1 Parent(s): 088b5d8

Trained for 1 epochs and 11750 steps.

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Trained with datasets ['text-embeds-sd2x', 'celebrities', 'movieposters', 'normalnudes', 'propagandaposters', 'guys', 'pixel-art', 'signs', 'moviecollection', 'bookcovers', 'nijijourney', 'experimental', 'ethnic', 'sports', 'gay', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga']
Learning rate 4e-07, batch size 4, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with v_prediction prediction type and rescaled_betas_zero_snr=True
Using 'trailing' timestep spacing.
Base model: stabilityai/stable-diffusion-2-1
VAE: None

Files changed (14) hide show
  1. README.md +3 -3
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +2 -2
  4. training_state-anatomy.json +2 -2
  5. training_state-architecture.json +2 -2
  6. training_state-bg20k-1024.json +2 -2
  7. training_state-cinemamix-1mp.json +2 -2
  8. training_state-ethnic.json +2 -2
  9. training_state-experimental.json +2 -2
  10. training_state-nsfw-1024.json +2 -2
  11. training_state-shutterstock.json +2 -2
  12. training_state-yoga.json +2 -2
  13. training_state.json +2 -2
  14. unet/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -44,7 +44,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 1
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- - Training steps: 11500
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  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
@@ -141,7 +141,7 @@ You may reuse the base model text encoder for inference.
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  ### experimental
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  - Repeats: 0
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  - Total number of images: 3000
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- - Total number of aspect buckets: 19
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -205,7 +205,7 @@ You may reuse the base model text encoder for inference.
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  ### anatomy
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  - Repeats: 5
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  - Total number of images: 16383
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- - Total number of aspect buckets: 25
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ## Training settings
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  - Training epochs: 1
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+ - Training steps: 11750
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  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
 
141
  ### experimental
142
  - Repeats: 0
143
  - Total number of images: 3000
144
+ - Total number of aspect buckets: 30
145
  - Resolution: 1.0 megapixels
146
  - Cropped: False
147
  - Crop style: None
 
205
  ### anatomy
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  - Repeats: 5
207
  - Total number of images: 16383
208
+ - Total number of aspect buckets: 24
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
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