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pseudo-flex-v2

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PseudoTerminal X commited on
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1 Parent(s): ca1f2d7

Trained for 1 epochs and 11250 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

Files changed (25) hide show
  1. README.md +11 -11
  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-bookcovers.json +1 -1
  8. training_state-celebrities.json +2 -2
  9. training_state-cinemamix-1mp.json +2 -2
  10. training_state-ethnic.json +2 -2
  11. training_state-experimental.json +2 -2
  12. training_state-gay.json +2 -2
  13. training_state-guys.json +1 -1
  14. training_state-moviecollection.json +1 -1
  15. training_state-movieposters.json +2 -2
  16. training_state-nijijourney.json +2 -2
  17. training_state-nsfw-1024.json +2 -2
  18. training_state-propagandaposters.json +2 -2
  19. training_state-shutterstock.json +2 -2
  20. training_state-signs.json +1 -1
  21. training_state-sports.json +2 -2
  22. training_state-yoga.json +2 -2
  23. training_state.json +2 -2
  24. unet/config.json +2 -2
  25. unet/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -44,7 +44,7 @@ You may reuse the base model text encoder for inference.
44
  ## Training settings
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  - Training epochs: 1
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- - Training steps: 9750
48
  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
@@ -148,7 +148,7 @@ 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: 3063
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  - Total number of aspect buckets: 23
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  - Resolution: 1.0 megapixels
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  - Cropped: False
@@ -157,7 +157,7 @@ You may reuse the base model text encoder for inference.
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  ### sports
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  - Repeats: 0
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  - Total number of images: 772
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- - Total number of aspect buckets: 12
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -165,22 +165,22 @@ You may reuse the base model text encoder for inference.
165
  ### gay
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  - Repeats: 0
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  - Total number of images: 1064
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- - Total number of aspect buckets: 16
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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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  ### architecture
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  - Repeats: 0
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- - Total number of images: 4321
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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
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: 34
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  - Resolution: 1.0 megapixels
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  - Cropped: False
@@ -189,7 +189,7 @@ You may reuse the base model text encoder for inference.
189
  ### cinemamix-1mp
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  - Repeats: 0
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  - Total number of images: 9024
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- - Total number of aspect buckets: 5
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -204,8 +204,8 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: None
205
  ### anatomy
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  - Repeats: 5
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- - Total number of images: 16379
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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
@@ -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: 40
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  - Resolution: 1.0 megapixels
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  - Cropped: False
219
  - Crop style: None
 
44
  ## Training settings
45
 
46
  - Training epochs: 1
47
+ - Training steps: 11250
48
  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
 
148
  - Crop aspect: None
149
  ### ethnic
150
  - Repeats: 0
151
+ - Total number of images: 3061
152
  - Total number of aspect buckets: 23
153
  - Resolution: 1.0 megapixels
154
  - Cropped: False
 
157
  ### sports
158
  - Repeats: 0
159
  - Total number of images: 772
160
+ - Total number of aspect buckets: 22
161
  - Resolution: 1.0 megapixels
162
  - Cropped: False
163
  - Crop style: None
 
165
  ### gay
166
  - Repeats: 0
167
  - Total number of images: 1064
168
+ - Total number of aspect buckets: 31
169
  - Resolution: 1.0 megapixels
170
  - Cropped: False
171
  - Crop style: None
172
  - Crop aspect: None
173
  ### architecture
174
  - Repeats: 0
175
+ - Total number of images: 4322
176
+ - Total number of aspect buckets: 23
177
  - Resolution: 1.0 megapixels
178
  - Cropped: False
179
  - Crop style: None
180
  - Crop aspect: None
181
  ### shutterstock
182
  - Repeats: 0
183
+ - Total number of images: 21013
184
  - Total number of aspect buckets: 34
185
  - Resolution: 1.0 megapixels
186
  - Cropped: False
 
189
  ### cinemamix-1mp
190
  - Repeats: 0
191
  - Total number of images: 9024
192
+ - Total number of aspect buckets: 6
193
  - Resolution: 1.0 megapixels
194
  - Cropped: False
195
  - Crop style: None
 
204
  - Crop aspect: None
205
  ### anatomy
206
  - Repeats: 5
207
+ - Total number of images: 16383
208
+ - Total number of aspect buckets: 29
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
 
213
  ### bg20k-1024
214
  - Repeats: 0
215
  - Total number of images: 89216
216
+ - Total number of aspect buckets: 46
217
  - Resolution: 1.0 megapixels
218
  - Cropped: False
219
  - Crop style: None
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