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pseudo-flex-v2

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PseudoTerminal X commited on
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1 Parent(s): f673b5c

Trained for 1 epochs and 35250 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 (28) hide show
  1. README.md +9 -9
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +1 -1
  4. scheduler.bin +1 -1
  5. training_state-anatomy.json +2 -2
  6. training_state-architecture.json +2 -2
  7. training_state-bg20k-1024.json +2 -2
  8. training_state-bookcovers.json +2 -2
  9. training_state-celebrities.json +2 -2
  10. training_state-cinemamix-1mp.json +2 -2
  11. training_state-ethnic.json +2 -2
  12. training_state-experimental.json +2 -2
  13. training_state-gay.json +2 -2
  14. training_state-guys.json +1 -1
  15. training_state-moviecollection.json +2 -2
  16. training_state-movieposters.json +2 -2
  17. training_state-nijijourney.json +1 -1
  18. training_state-normalnudes.json +1 -1
  19. training_state-nsfw-1024.json +2 -2
  20. training_state-pixel-art.json +1 -1
  21. training_state-propagandaposters.json +1 -1
  22. training_state-shutterstock.json +2 -2
  23. training_state-signs.json +1 -1
  24. training_state-sports.json +2 -2
  25. training_state-yoga.json +2 -2
  26. training_state.json +1 -1
  27. unet/config.json +1 -1
  28. unet/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -28,7 +28,7 @@ a cinematic scene from the film Rogue One, a woman stares off into the distance,
28
  - Steps: `30`
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  - Sampler: `euler`
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  - Seed: `420420420`
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- - Resolutions: `1024,1280x768,832x1216`
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33
  Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
34
 
@@ -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: 32750
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  - Learning rate: 4e-07
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  - Effective batch size: 4
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  - Micro-batch size: 4
@@ -60,7 +60,7 @@ You may reuse the base model text encoder for inference.
60
 
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  ### celebrities
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  - Repeats: 0
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- - Total number of images: 1236
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  - Total number of aspect buckets: 3
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  - Resolution: 1.0 megapixels
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  - Cropped: True
@@ -68,7 +68,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: random
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  ### movieposters
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  - Repeats: 0
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- - Total number of images: 1732
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  - Total number of aspect buckets: 3
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  - Resolution: 1.0 megapixels
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  - Cropped: True
@@ -116,7 +116,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: random
117
  ### moviecollection
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  - Repeats: 0
119
- - Total number of images: 1916
120
  - Total number of aspect buckets: 3
121
  - Resolution: 1.0 megapixels
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  - Cropped: True
@@ -124,7 +124,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: random
125
  ### bookcovers
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  - Repeats: 0
127
- - Total number of images: 808
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  - Total number of aspect buckets: 3
129
  - Resolution: 1.0 megapixels
130
  - Cropped: True
@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: random
165
  ### gay
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  - Repeats: 0
167
- - Total number of images: 1108
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  - Total number of aspect buckets: 3
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  - Resolution: 1.0 megapixels
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  - Cropped: True
@@ -204,7 +204,7 @@ You may reuse the base model text encoder for inference.
204
  - Crop aspect: random
205
  ### anatomy
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  - Repeats: 5
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- - Total number of images: 16425
208
  - Total number of aspect buckets: 3
209
  - Resolution: 1.0 megapixels
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  - Cropped: True
@@ -212,7 +212,7 @@ You may reuse the base model text encoder for inference.
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  - Crop aspect: random
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  ### bg20k-1024
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  - Repeats: 0
215
- - Total number of images: 89303
216
  - Total number of aspect buckets: 3
217
  - Resolution: 1.0 megapixels
218
  - Cropped: True
 
28
  - Steps: `30`
29
  - Sampler: `euler`
30
  - Seed: `420420420`
31
+ - Resolutions: `1024x1024,1152x960,896x1152`
32
 
33
  Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
34
 
 
44
  ## Training settings
45
 
46
  - Training epochs: 1
47
+ - Training steps: 35250
48
  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
 
60
 
61
  ### celebrities
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  - Repeats: 0
63
+ - Total number of images: 1240
64
  - Total number of aspect buckets: 3
65
  - Resolution: 1.0 megapixels
66
  - Cropped: True
 
68
  - Crop aspect: random
69
  ### movieposters
70
  - Repeats: 0
71
+ - Total number of images: 1736
72
  - Total number of aspect buckets: 3
73
  - Resolution: 1.0 megapixels
74
  - Cropped: True
 
116
  - Crop aspect: random
117
  ### moviecollection
118
  - Repeats: 0
119
+ - Total number of images: 1912
120
  - Total number of aspect buckets: 3
121
  - Resolution: 1.0 megapixels
122
  - Cropped: True
 
124
  - Crop aspect: random
125
  ### bookcovers
126
  - Repeats: 0
127
+ - Total number of images: 812
128
  - Total number of aspect buckets: 3
129
  - Resolution: 1.0 megapixels
130
  - Cropped: True
 
164
  - Crop aspect: random
165
  ### gay
166
  - Repeats: 0
167
+ - Total number of images: 1104
168
  - Total number of aspect buckets: 3
169
  - Resolution: 1.0 megapixels
170
  - Cropped: True
 
204
  - Crop aspect: random
205
  ### anatomy
206
  - Repeats: 5
207
+ - Total number of images: 16424
208
  - Total number of aspect buckets: 3
209
  - Resolution: 1.0 megapixels
210
  - Cropped: True
 
212
  - Crop aspect: random
213
  ### bg20k-1024
214
  - Repeats: 0
215
+ - Total number of images: 89301
216
  - Total number of aspect buckets: 3
217
  - Resolution: 1.0 megapixels
218
  - Cropped: True
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