PseudoTerminal X commited on
Commit
29fdba8
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1 Parent(s): 44f3261

Trained for 1 epochs and 13250 steps.

Browse files

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

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: 11750
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  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
@@ -148,8 +148,8 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: None
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  ### ethnic
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  - Repeats: 0
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- - Total number of images: 3061
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- - Total number of aspect buckets: 23
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -173,15 +173,15 @@ You may reuse the base model text encoder for inference.
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  ### architecture
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  - Repeats: 0
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  - Total number of images: 4322
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- - Total number of aspect buckets: 22
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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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  - Crop aspect: None
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  ### shutterstock
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  - Repeats: 0
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- - Total number of images: 21013
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- - Total number of aspect buckets: 32
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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: 24
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -213,7 +213,7 @@ You may reuse the base model text encoder for inference.
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  ### bg20k-1024
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  - Repeats: 0
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  - Total number of images: 89216
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- - Total number of aspect buckets: 43
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -221,7 +221,7 @@ You may reuse the base model text encoder for inference.
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  ### yoga
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  - Repeats: 0
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  - Total number of images: 3583
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- - Total number of aspect buckets: 21
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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: 13250
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  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
 
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  - Crop aspect: None
149
  ### ethnic
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  - Repeats: 0
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+ - Total number of images: 3056
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+ - Total number of aspect buckets: 27
153
  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ### architecture
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  - Repeats: 0
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  - Total number of images: 4322
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+ - Total number of aspect buckets: 29
177
  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
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  - Crop aspect: None
181
  ### shutterstock
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  - Repeats: 0
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+ - Total number of images: 21012
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+ - Total number of aspect buckets: 33
185
  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ### anatomy
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  - Repeats: 5
207
  - Total number of images: 16383
208
+ - Total number of aspect buckets: 34
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
 
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  ### bg20k-1024
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  - Repeats: 0
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  - Total number of images: 89216
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+ - Total number of aspect buckets: 53
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  - Resolution: 1.0 megapixels
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  - Cropped: False
219
  - Crop style: None
 
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  ### yoga
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  - Repeats: 0
223
  - Total number of images: 3583
224
+ - Total number of aspect buckets: 26
225
  - Resolution: 1.0 megapixels
226
  - Cropped: False
227
  - Crop style: None
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