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pseudo-flex-v2

Text-to-Image
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stable-diffusion
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PseudoTerminal X commited on
Commit
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1 Parent(s): 834ae35

Trained for 1 epochs and 7250 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 (26) hide show
  1. README.md +11 -11
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +1 -1
  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 +1 -1
  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 +2 -2
  15. training_state-movieposters.json +2 -2
  16. training_state-nijijourney.json +1 -1
  17. training_state-normalnudes.json +1 -1
  18. training_state-nsfw-1024.json +2 -2
  19. training_state-pixel-art.json +1 -1
  20. training_state-propagandaposters.json +1 -1
  21. training_state-shutterstock.json +2 -2
  22. training_state-sports.json +2 -2
  23. training_state-yoga.json +2 -2
  24. training_state.json +2 -2
  25. unet/config.json +1 -1
  26. 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: 5750
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  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
@@ -140,16 +140,16 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: None
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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: 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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  ### ethnic
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  - Repeats: 0
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- - Total number of images: 3065
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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
@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: None
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  ### gay
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  - Repeats: 0
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- - Total number of images: 1067
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  - Total number of aspect buckets: 16
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  - Resolution: 1.0 megapixels
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  - Cropped: False
@@ -172,8 +172,8 @@ You may reuse the base model text encoder for inference.
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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: 4320
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- - Total number of aspect buckets: 20
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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
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  ### anatomy
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  - Repeats: 5
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- - Total number of images: 16381
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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
@@ -220,7 +220,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: None
221
  ### yoga
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  - Repeats: 0
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- - Total number of images: 3581
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  - Total number of aspect buckets: 19
225
  - Resolution: 1.0 megapixels
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  - Cropped: False
 
44
  ## Training settings
45
 
46
  - Training epochs: 1
47
+ - Training steps: 7250
48
  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
 
140
  - Crop aspect: None
141
  ### experimental
142
  - Repeats: 0
143
+ - Total number of images: 3001
144
+ - Total number of aspect buckets: 18
145
  - Resolution: 1.0 megapixels
146
  - Cropped: False
147
  - Crop style: None
148
  - Crop aspect: None
149
  ### ethnic
150
  - Repeats: 0
151
+ - Total number of images: 3062
152
+ - Total number of aspect buckets: 23
153
  - Resolution: 1.0 megapixels
154
  - Cropped: False
155
  - Crop style: None
 
164
  - Crop aspect: None
165
  ### gay
166
  - Repeats: 0
167
+ - Total number of images: 1064
168
  - Total number of aspect buckets: 16
169
  - Resolution: 1.0 megapixels
170
  - Cropped: False
 
172
  - Crop aspect: None
173
  ### architecture
174
  - Repeats: 0
175
+ - Total number of images: 4321
176
+ - Total number of aspect buckets: 22
177
  - Resolution: 1.0 megapixels
178
  - Cropped: False
179
  - Crop style: None
 
204
  - Crop aspect: None
205
  ### anatomy
206
  - Repeats: 5
207
+ - Total number of images: 16380
208
+ - Total number of aspect buckets: 25
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
 
220
  - Crop aspect: None
221
  ### yoga
222
  - Repeats: 0
223
+ - Total number of images: 3582
224
  - Total number of aspect buckets: 19
225
  - Resolution: 1.0 megapixels
226
  - Cropped: False
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