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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
d3807cf
•
1 Parent(s): 7b7e4e3

Trained for 2 epochs and 47100 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 8 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 +24 -24
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +2 -2
  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 +2 -2
  15. training_state-moviecollection.json +2 -2
  16. training_state-movieposters.json +2 -2
  17. training_state-nijijourney.json +2 -2
  18. training_state-normalnudes.json +2 -2
  19. training_state-nsfw-1024.json +2 -2
  20. training_state-pixel-art.json +2 -2
  21. training_state-propagandaposters.json +2 -2
  22. training_state-shutterstock.json +2 -2
  23. training_state-signs.json +2 -2
  24. training_state-sports.json +2 -2
  25. training_state-yoga.json +2 -2
  26. training_state.json +2 -2
  27. unet/config.json +1 -1
  28. unet/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -44,11 +44,11 @@ You may reuse the base model text encoder for inference.
44
  ## Training settings
45
 
46
  - Training epochs: 2
47
- - Training steps: 46750
48
  - Learning rate: 4e-07
49
- - Effective batch size: 4
50
  - Micro-batch size: 4
51
- - Gradient accumulation steps: 1
52
  - Prediction type: v_prediction
53
  - Rescaled betas zero SNR: True
54
  - Optimizer: AdamW, stochastic bf16
@@ -60,7 +60,7 @@ You may reuse the base model text encoder for inference.
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
@@ -68,7 +68,7 @@ You may reuse the base model text encoder for inference.
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
@@ -76,7 +76,7 @@ You may reuse the base model text encoder for inference.
76
  - Crop aspect: random
77
  ### normalnudes
78
  - Repeats: 0
79
- - Total number of images: 1120
80
  - Total number of aspect buckets: 3
81
  - Resolution: 1.0 megapixels
82
  - Cropped: True
@@ -84,7 +84,7 @@ You may reuse the base model text encoder for inference.
84
  - Crop aspect: random
85
  ### propagandaposters
86
  - Repeats: 0
87
- - Total number of images: 652
88
  - Total number of aspect buckets: 3
89
  - Resolution: 1.0 megapixels
90
  - Cropped: True
@@ -92,7 +92,7 @@ You may reuse the base model text encoder for inference.
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
@@ -100,7 +100,7 @@ You may reuse the base model text encoder for inference.
100
  - Crop aspect: random
101
  ### pixel-art
102
  - Repeats: 0
103
- - Total number of images: 1064
104
  - Total number of aspect buckets: 3
105
  - Resolution: 1.0 megapixels
106
  - Cropped: True
@@ -108,7 +108,7 @@ You may reuse the base model text encoder for inference.
108
  - Crop aspect: random
109
  ### signs
110
  - Repeats: 0
111
- - Total number of images: 396
112
  - Total number of aspect buckets: 3
113
  - Resolution: 1.0 megapixels
114
  - Cropped: True
@@ -116,7 +116,7 @@ You may reuse the base model text encoder for inference.
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
@@ -124,7 +124,7 @@ You may reuse the base model text encoder for inference.
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
@@ -132,7 +132,7 @@ You may reuse the base model text encoder for inference.
132
  - Crop aspect: random
133
  ### nijijourney
134
  - Repeats: 0
135
- - Total number of images: 652
136
  - Total number of aspect buckets: 3
137
  - Resolution: 1.0 megapixels
138
  - Cropped: True
@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
140
  - Crop aspect: random
141
  ### experimental
142
  - Repeats: 0
143
- - Total number of images: 3048
144
  - Total number of aspect buckets: 3
145
  - Resolution: 1.0 megapixels
146
  - Cropped: True
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
148
  - Crop aspect: random
149
  ### ethnic
150
  - Repeats: 0
151
- - Total number of images: 3088
152
  - Total number of aspect buckets: 3
153
  - Resolution: 1.0 megapixels
154
  - Cropped: True
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
156
  - Crop aspect: random
157
  ### sports
158
  - Repeats: 0
159
- - Total number of images: 804
160
  - Total number of aspect buckets: 3
161
  - Resolution: 1.0 megapixels
162
  - Cropped: True
@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
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
@@ -172,7 +172,7 @@ You may reuse the base model text encoder for inference.
172
  - Crop aspect: random
173
  ### architecture
174
  - Repeats: 0
175
- - Total number of images: 4356
176
  - Total number of aspect buckets: 3
177
  - Resolution: 1.0 megapixels
178
  - Cropped: True
@@ -180,7 +180,7 @@ You may reuse the base model text encoder for inference.
180
  - Crop aspect: random
181
  ### shutterstock
182
  - Repeats: 0
183
- - Total number of images: 21088
184
  - Total number of aspect buckets: 3
185
  - Resolution: 1.0 megapixels
186
  - Cropped: True
@@ -188,7 +188,7 @@ You may reuse the base model text encoder for inference.
188
  - Crop aspect: random
189
  ### cinemamix-1mp
190
  - Repeats: 0
191
- - Total number of images: 9028
192
  - Total number of aspect buckets: 3
193
  - Resolution: 1.0 megapixels
194
  - Cropped: True
@@ -196,7 +196,7 @@ You may reuse the base model text encoder for inference.
196
  - Crop aspect: random
197
  ### nsfw-1024
198
  - Repeats: 0
199
- - Total number of images: 10812
200
  - Total number of aspect buckets: 3
201
  - Resolution: 1.0 megapixels
202
  - Cropped: True
@@ -204,7 +204,7 @@ You may reuse the base model text encoder for inference.
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
@@ -212,7 +212,7 @@ You may reuse the base model text encoder for inference.
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
@@ -220,7 +220,7 @@ You may reuse the base model text encoder for inference.
220
  - Crop aspect: random
221
  ### yoga
222
  - Repeats: 0
223
- - Total number of images: 3612
224
  - Total number of aspect buckets: 3
225
  - Resolution: 1.0 megapixels
226
  - Cropped: True
 
44
  ## Training settings
45
 
46
  - Training epochs: 2
47
+ - Training steps: 47100
48
  - Learning rate: 4e-07
49
+ - Effective batch size: 32
50
  - Micro-batch size: 4
51
+ - Gradient accumulation steps: 8
52
  - Prediction type: v_prediction
53
  - Rescaled betas zero SNR: True
54
  - Optimizer: AdamW, stochastic bf16
 
60
 
61
  ### celebrities
62
  - Repeats: 0
63
+ - Total number of images: 1216
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: 1696
72
  - Total number of aspect buckets: 3
73
  - Resolution: 1.0 megapixels
74
  - Cropped: True
 
76
  - Crop aspect: random
77
  ### normalnudes
78
  - Repeats: 0
79
+ - Total number of images: 1088
80
  - Total number of aspect buckets: 3
81
  - Resolution: 1.0 megapixels
82
  - Cropped: True
 
84
  - Crop aspect: random
85
  ### propagandaposters
86
  - Repeats: 0
87
+ - Total number of images: 640
88
  - Total number of aspect buckets: 3
89
  - Resolution: 1.0 megapixels
90
  - Cropped: True
 
92
  - Crop aspect: random
93
  ### guys
94
  - Repeats: 0
95
+ - Total number of images: 352
96
  - Total number of aspect buckets: 3
97
  - Resolution: 1.0 megapixels
98
  - Cropped: True
 
100
  - Crop aspect: random
101
  ### pixel-art
102
  - Repeats: 0
103
+ - Total number of images: 1056
104
  - Total number of aspect buckets: 3
105
  - Resolution: 1.0 megapixels
106
  - Cropped: True
 
108
  - Crop aspect: random
109
  ### signs
110
  - Repeats: 0
111
+ - Total number of images: 384
112
  - Total number of aspect buckets: 3
113
  - Resolution: 1.0 megapixels
114
  - Cropped: True
 
116
  - Crop aspect: random
117
  ### moviecollection
118
  - Repeats: 0
119
+ - Total number of images: 1856
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: 768
128
  - Total number of aspect buckets: 3
129
  - Resolution: 1.0 megapixels
130
  - Cropped: True
 
132
  - Crop aspect: random
133
  ### nijijourney
134
  - Repeats: 0
135
+ - Total number of images: 640
136
  - Total number of aspect buckets: 3
137
  - Resolution: 1.0 megapixels
138
  - Cropped: True
 
140
  - Crop aspect: random
141
  ### experimental
142
  - Repeats: 0
143
+ - Total number of images: 3008
144
  - Total number of aspect buckets: 3
145
  - Resolution: 1.0 megapixels
146
  - Cropped: True
 
148
  - Crop aspect: random
149
  ### ethnic
150
  - Repeats: 0
151
+ - Total number of images: 3072
152
  - Total number of aspect buckets: 3
153
  - Resolution: 1.0 megapixels
154
  - Cropped: True
 
156
  - Crop aspect: random
157
  ### sports
158
  - Repeats: 0
159
+ - Total number of images: 800
160
  - Total number of aspect buckets: 3
161
  - Resolution: 1.0 megapixels
162
  - Cropped: True
 
164
  - Crop aspect: random
165
  ### gay
166
  - Repeats: 0
167
+ - Total number of images: 1056
168
  - Total number of aspect buckets: 3
169
  - Resolution: 1.0 megapixels
170
  - Cropped: True
 
172
  - Crop aspect: random
173
  ### architecture
174
  - Repeats: 0
175
+ - Total number of images: 4320
176
  - Total number of aspect buckets: 3
177
  - Resolution: 1.0 megapixels
178
  - Cropped: True
 
180
  - Crop aspect: random
181
  ### shutterstock
182
  - Repeats: 0
183
+ - Total number of images: 21056
184
  - Total number of aspect buckets: 3
185
  - Resolution: 1.0 megapixels
186
  - Cropped: True
 
188
  - Crop aspect: random
189
  ### cinemamix-1mp
190
  - Repeats: 0
191
+ - Total number of images: 8992
192
  - Total number of aspect buckets: 3
193
  - Resolution: 1.0 megapixels
194
  - Cropped: True
 
196
  - Crop aspect: random
197
  ### nsfw-1024
198
  - Repeats: 0
199
+ - Total number of images: 10784
200
  - Total number of aspect buckets: 3
201
  - Resolution: 1.0 megapixels
202
  - Cropped: True
 
204
  - Crop aspect: random
205
  ### anatomy
206
  - Repeats: 5
207
+ - Total number of images: 16352
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: 89287
216
  - Total number of aspect buckets: 3
217
  - Resolution: 1.0 megapixels
218
  - Cropped: True
 
220
  - Crop aspect: random
221
  ### yoga
222
  - Repeats: 0
223
+ - Total number of images: 3552
224
  - Total number of aspect buckets: 3
225
  - Resolution: 1.0 megapixels
226
  - Cropped: True
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