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terminus-xl-velocity-v2

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
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Model card Files Community
PseudoTerminal X commited on
Commit
a89ae5b
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1 Parent(s): bfb28c8

Trained for 0 epochs and 4400 steps.

Browse files

Trained with datasets ['text-embeds-sdxl', 'photocb-clip-embeds', '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', 'photo-aesthetics', 'text-1mp', 'photo-concept-bucket']
Learning rate 4e-07, batch size 8, 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: ptx0/terminus-xl-velocity-v1
VAE: madebyollin/sdxl-vae-fp16-fix

Files changed (28) hide show
  1. README.md +75 -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 +3 -0
  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-guys.json +3 -0
  13. training_state-moviecollection.json +3 -0
  14. training_state-movieposters.json +3 -0
  15. training_state-nijijourney.json +3 -0
  16. training_state-normalnudes.json +3 -0
  17. training_state-nsfw-1024.json +2 -2
  18. training_state-photo-aesthetics.json +2 -2
  19. training_state-photo-concept-bucket.json +2 -2
  20. training_state-pixel-art.json +3 -0
  21. training_state-propagandaposters.json +3 -0
  22. training_state-shutterstock.json +2 -2
  23. training_state-signs.json +3 -0
  24. training_state-text-1mp.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
@@ -44,7 +44,7 @@ You may reuse the base model text encoder for inference.
44
  ## Training settings
45
 
46
  - Training epochs: 0
47
- - Training steps: 4200
48
  - Learning rate: 4e-07
49
  - Effective batch size: 8
50
  - Micro-batch size: 8
@@ -58,26 +58,90 @@ You may reuse the base model text encoder for inference.
58
 
59
  ## Datasets
60
 
61
- ### mj-60
62
  - Repeats: 0
63
- - Total number of images: 12097
64
- - Total number of aspect buckets: 1
65
  - Resolution: 1.0 megapixels
66
  - Cropped: False
67
  - Crop style: None
68
  - Crop aspect: None
69
- ### celebrities
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  - Repeats: 0
71
- - Total number of images: 1160
 
 
 
 
 
 
 
 
72
  - Total number of aspect buckets: 20
73
  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
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  - Crop aspect: None
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77
  ### experimental
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  - Repeats: 0
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  - Total number of images: 2970
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- - Total number of aspect buckets: 17
81
  - Resolution: 1.0 megapixels
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  - Cropped: False
83
  - Crop style: None
@@ -85,7 +149,7 @@ You may reuse the base model text encoder for inference.
85
  ### ethnic
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  - Repeats: 0
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  - Total number of images: 3009
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- - Total number of aspect buckets: 17
89
  - Resolution: 1.0 megapixels
90
  - Cropped: False
91
  - Crop style: None
@@ -109,7 +173,7 @@ You may reuse the base model text encoder for inference.
109
  ### architecture
110
  - Repeats: 0
111
  - Total number of images: 4258
112
- - Total number of aspect buckets: 17
113
  - Resolution: 1.0 megapixels
114
  - Cropped: False
115
  - Crop style: None
@@ -141,7 +205,7 @@ You may reuse the base model text encoder for inference.
141
  ### anatomy
142
  - Repeats: 5
143
  - Total number of images: 16329
144
- - Total number of aspect buckets: 21
145
  - Resolution: 1.0 megapixels
146
  - Cropped: False
147
  - Crop style: None
@@ -165,7 +229,7 @@ You may reuse the base model text encoder for inference.
165
  ### photo-aesthetics
166
  - Repeats: 0
167
  - Total number of images: 33031
168
- - Total number of aspect buckets: 24
169
  - Resolution: 1.0 megapixels
170
  - Cropped: False
171
  - Crop style: None
 
44
  ## Training settings
45
 
46
  - Training epochs: 0
47
+ - Training steps: 4400
48
  - Learning rate: 4e-07
49
  - Effective batch size: 8
50
  - Micro-batch size: 8
 
58
 
59
  ## Datasets
60
 
61
+ ### celebrities
62
  - Repeats: 0
63
+ - Total number of images: 1160
64
+ - Total number of aspect buckets: 17
65
  - Resolution: 1.0 megapixels
66
  - Cropped: False
67
  - Crop style: None
68
  - Crop aspect: None
69
+ ### movieposters
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  - Repeats: 0
71
+ - Total number of images: 1624
72
+ - Total number of aspect buckets: 12
73
+ - Resolution: 1.0 megapixels
74
+ - Cropped: False
75
+ - Crop style: None
76
+ - Crop aspect: None
77
+ ### normalnudes
78
+ - Repeats: 0
79
+ - Total number of images: 1000
80
  - Total number of aspect buckets: 20
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: 576
88
+ - Total number of aspect buckets: 18
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: 312
96
+ - Total number of aspect buckets: 2
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+ - 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: 1248
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+ - Total number of aspect buckets: 17
105
+ - Resolution: 0.5 megapixels
106
+ - Cropped: False
107
+ - Crop style: None
108
+ - Crop aspect: None
109
+ ### signs
110
+ - Repeats: 0
111
+ - Total number of images: 624
112
+ - Total number of aspect buckets: 16
113
+ - Resolution: 0.5 megapixels
114
+ - Cropped: False
115
+ - Crop style: None
116
+ - Crop aspect: None
117
+ ### moviecollection
118
+ - Repeats: 0
119
+ - Total number of images: 1784
120
+ - Total number of aspect buckets: 22
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: 728
128
+ - Total number of aspect buckets: 12
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: 576
136
+ - Total number of aspect buckets: 18
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: 2970
144
+ - Total number of aspect buckets: 16
145
  - Resolution: 1.0 megapixels
146
  - Cropped: False
147
  - Crop style: None
 
149
  ### ethnic
150
  - Repeats: 0
151
  - Total number of images: 3009
152
+ - Total number of aspect buckets: 18
153
  - Resolution: 1.0 megapixels
154
  - Cropped: False
155
  - Crop style: None
 
173
  ### architecture
174
  - Repeats: 0
175
  - Total number of images: 4258
176
+ - Total number of aspect buckets: 18
177
  - Resolution: 1.0 megapixels
178
  - Cropped: False
179
  - Crop style: None
 
205
  ### anatomy
206
  - Repeats: 5
207
  - Total number of images: 16329
208
+ - Total number of aspect buckets: 22
209
  - Resolution: 1.0 megapixels
210
  - Cropped: False
211
  - Crop style: None
 
229
  ### photo-aesthetics
230
  - Repeats: 0
231
  - Total number of images: 33031
232
+ - Total number of aspect buckets: 25
233
  - Resolution: 1.0 megapixels
234
  - Cropped: False
235
  - Crop style: None
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