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pseudo-flex-v2

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
full
Model card Files Community
PseudoTerminal X commited on
Commit
ba471e8
•
1 Parent(s): 3c90f1f

Trained for 1 epochs and 30500 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 (27) hide show
  1. README.md +51 -51
  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 +2 -2
  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 +2 -2
  14. training_state-moviecollection.json +2 -2
  15. training_state-movieposters.json +2 -2
  16. training_state-nijijourney.json +2 -2
  17. training_state-normalnudes.json +2 -2
  18. training_state-nsfw-1024.json +2 -2
  19. training_state-pixel-art.json +2 -2
  20. training_state-propagandaposters.json +2 -2
  21. training_state-shutterstock.json +2 -2
  22. training_state-signs.json +1 -1
  23. training_state-sports.json +2 -2
  24. training_state-yoga.json +2 -2
  25. training_state.json +2 -2
  26. unet/config.json +1 -1
  27. 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
45
 
46
  - Training epochs: 1
47
- - Training steps: 27750
48
  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
@@ -60,44 +60,44 @@ You may reuse the base model text encoder for inference.
60
 
61
  ### celebrities
62
  - Repeats: 0
63
- - Total number of images: 1216
64
- - Total number of aspect buckets: 25
65
  - Resolution: 1.0 megapixels
66
- - Cropped: False
67
- - Crop style: None
68
- - Crop aspect: None
69
  ### movieposters
70
  - Repeats: 0
71
- - Total number of images: 1684
72
- - Total number of aspect buckets: 18
73
  - Resolution: 1.0 megapixels
74
- - Cropped: False
75
- - Crop style: None
76
- - Crop aspect: None
77
  ### normalnudes
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  - Repeats: 0
79
- - Total number of images: 1064
80
- - Total number of aspect buckets: 27
81
  - Resolution: 1.0 megapixels
82
- - Cropped: False
83
- - Crop style: None
84
- - Crop aspect: None
85
  ### propagandaposters
86
  - Repeats: 0
87
- - Total number of images: 616
88
- - Total number of aspect buckets: 20
89
  - Resolution: 1.0 megapixels
90
- - Cropped: False
91
- - Crop style: None
92
- - Crop aspect: None
93
  ### guys
94
  - Repeats: 0
95
- - Total number of images: 356
96
- - Total number of aspect buckets: 17
97
  - Resolution: 1.0 megapixels
98
- - Cropped: False
99
- - Crop style: None
100
- - Crop aspect: None
101
  ### pixel-art
102
  - Repeats: 0
103
  - Total number of images: 1308
@@ -116,32 +116,32 @@ You may reuse the base model text encoder for inference.
116
  - Crop aspect: None
117
  ### moviecollection
118
  - Repeats: 0
119
- - Total number of images: 1856
120
- - Total number of aspect buckets: 29
121
  - Resolution: 1.0 megapixels
122
- - Cropped: False
123
- - Crop style: None
124
- - Crop aspect: None
125
  ### bookcovers
126
  - Repeats: 0
127
- - Total number of images: 776
128
- - Total number of aspect buckets: 18
129
  - Resolution: 1.0 megapixels
130
- - Cropped: False
131
- - Crop style: None
132
- - Crop aspect: None
133
  ### nijijourney
134
  - Repeats: 0
135
- - Total number of images: 616
136
- - Total number of aspect buckets: 20
137
  - Resolution: 1.0 megapixels
138
- - Cropped: False
139
- - Crop style: None
140
- - Crop aspect: None
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
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
149
  ### ethnic
150
  - Repeats: 0
151
  - Total number of images: 3056
152
- - Total number of aspect buckets: 27
153
  - Resolution: 1.0 megapixels
154
  - Cropped: False
155
  - Crop style: None
@@ -157,7 +157,7 @@ You may reuse the base model text encoder for inference.
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
@@ -165,7 +165,7 @@ You may reuse the base model text encoder for inference.
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
@@ -173,7 +173,7 @@ You may reuse the base model text encoder for inference.
173
  ### architecture
174
  - Repeats: 0
175
  - Total number of images: 4316
176
- - Total number of aspect buckets: 29
177
  - Resolution: 1.0 megapixels
178
  - Cropped: False
179
  - Crop style: None
@@ -204,16 +204,16 @@ You may reuse the base model text encoder for inference.
204
  - Crop aspect: None
205
  ### anatomy
206
  - Repeats: 5
207
- - Total number of images: 16383
208
- - Total number of aspect buckets: 33
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
212
  - Crop aspect: None
213
  ### bg20k-1024
214
  - Repeats: 0
215
- - Total number of images: 89216
216
- - Total number of aspect buckets: 53
217
  - Resolution: 1.0 megapixels
218
  - Cropped: False
219
  - Crop style: None
@@ -221,7 +221,7 @@ You may reuse the base model text encoder for inference.
221
  ### yoga
222
  - Repeats: 0
223
  - Total number of images: 3576
224
- - Total number of aspect buckets: 26
225
  - Resolution: 1.0 megapixels
226
  - Cropped: False
227
  - Crop style: None
 
44
  ## Training settings
45
 
46
  - Training epochs: 1
47
+ - Training steps: 30500
48
  - Learning rate: 4e-07
49
  - Effective batch size: 4
50
  - Micro-batch size: 4
 
60
 
61
  ### celebrities
62
  - Repeats: 0
63
+ - Total number of images: 1240
64
+ - Total number of aspect buckets: 3
65
  - Resolution: 1.0 megapixels
66
+ - Cropped: True
67
+ - Crop style: random
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
75
+ - Crop style: random
76
+ - Crop aspect: random
77
  ### normalnudes
78
  - Repeats: 0
79
+ - Total number of images: 1124
80
+ - Total number of aspect buckets: 3
81
  - Resolution: 1.0 megapixels
82
+ - Cropped: True
83
+ - Crop style: random
84
+ - Crop aspect: random
85
  ### propagandaposters
86
  - Repeats: 0
87
+ - Total number of images: 656
88
+ - Total number of aspect buckets: 3
89
  - Resolution: 1.0 megapixels
90
+ - Cropped: True
91
+ - Crop style: random
92
+ - Crop aspect: random
93
  ### guys
94
  - Repeats: 0
95
+ - Total number of images: 388
96
+ - Total number of aspect buckets: 3
97
  - Resolution: 1.0 megapixels
98
+ - Cropped: True
99
+ - Crop style: random
100
+ - Crop aspect: random
101
  ### pixel-art
102
  - Repeats: 0
103
  - Total number of images: 1308
 
116
  - Crop aspect: None
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
123
+ - Crop style: random
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
131
+ - Crop style: random
132
+ - Crop aspect: random
133
  ### nijijourney
134
  - Repeats: 0
135
+ - Total number of images: 656
136
+ - Total number of aspect buckets: 3
137
  - Resolution: 1.0 megapixels
138
+ - Cropped: True
139
+ - Crop style: random
140
+ - Crop aspect: random
141
  ### experimental
142
  - Repeats: 0
143
  - Total number of images: 3000
144
+ - Total number of aspect buckets: 19
145
  - Resolution: 1.0 megapixels
146
  - Cropped: False
147
  - Crop style: None
 
149
  ### ethnic
150
  - Repeats: 0
151
  - Total number of images: 3056
152
+ - Total number of aspect buckets: 23
153
  - Resolution: 1.0 megapixels
154
  - Cropped: False
155
  - Crop style: None
 
157
  ### sports
158
  - Repeats: 0
159
  - Total number of images: 772
160
+ - Total number of aspect buckets: 12
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: 16
169
  - Resolution: 1.0 megapixels
170
  - Cropped: False
171
  - Crop style: None
 
173
  ### architecture
174
  - Repeats: 0
175
  - Total number of images: 4316
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: 16395
208
+ - Total number of aspect buckets: 25
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
212
  - Crop aspect: None
213
  ### bg20k-1024
214
  - Repeats: 0
215
+ - Total number of images: 89273
216
+ - Total number of aspect buckets: 42
217
  - Resolution: 1.0 megapixels
218
  - Cropped: False
219
  - Crop style: None
 
221
  ### yoga
222
  - Repeats: 0
223
  - Total number of images: 3576
224
+ - Total number of aspect buckets: 21
225
  - Resolution: 1.0 megapixels
226
  - Cropped: False
227
  - Crop style: None
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