PseudoTerminal X commited on
Commit
f471009
1 Parent(s): 403a9a3

Trained for 0 epochs and 200 steps.

Browse files

Trained with datasets ['text-embeds-sdxl', 'photocb-clip-embeds', 'celebrities', 'movieposters', 'pixel-art', 'moviecollection', 'ethnic', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'photo-concept-bucket']
Learning rate 4e-07, batch size 4, and 4 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-v2
VAE: madebyollin/sdxl-vae-fp16-fix

README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
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  license: creativeml-openrail-m
3
- base_model: "ptx0/terminus-xl-velocity-v1"
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  tags:
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  - stable-diffusion
6
  - stable-diffusion-diffusers
@@ -14,12 +14,12 @@ inference: true
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15
  # terminus-xl-velocity-training
16
 
17
- This is a full rank finetuned model derived from [ptx0/terminus-xl-velocity-v1](https://huggingface.co/ptx0/terminus-xl-velocity-v1).
18
 
19
  The main validation prompt used during training was:
20
 
21
  ```
22
- a cute anime character named toast
23
  ```
24
 
25
  ## Validation settings
@@ -27,7 +27,7 @@ a cute anime character named toast
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  - CFG Rescale: `0.7`
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).
@@ -44,10 +44,10 @@ You may reuse the base model text encoder for inference.
44
  ## Training settings
45
 
46
  - Training epochs: 0
47
- - Training steps: 6200
48
- - Learning rate: 1e-06
49
- - Effective batch size: 32
50
- - Micro-batch size: 8
51
  - Gradient accumulation steps: 4
52
  - Prediction type: v_prediction
53
  - Rescaled betas zero SNR: True
@@ -59,40 +59,16 @@ You may reuse the base model text encoder for inference.
59
  ## Datasets
60
 
61
  ### celebrities
62
- - Repeats: 4
63
- - Total number of images: 1184
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: 25
71
- - Total number of images: 1728
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: 5
79
- - Total number of images: 1056
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: 608
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: 5
95
- - Total number of images: 352
96
  - Total number of aspect buckets: 3
97
  - Resolution: 1.0 megapixels
98
  - Cropped: True
@@ -100,15 +76,7 @@ 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: 1024
104
- - Total number of aspect buckets: 3
105
- - Resolution: 1.0 megapixels
106
- - Cropped: True
107
- - Crop style: random
108
- - Crop aspect: random
109
- ### signs
110
- - Repeats: 25
111
- - Total number of images: 352
112
  - Total number of aspect buckets: 3
113
  - Resolution: 1.0 megapixels
114
  - Cropped: True
@@ -116,31 +84,7 @@ You may reuse the base model text encoder for inference.
116
  - Crop aspect: random
117
  ### moviecollection
118
  - Repeats: 0
119
- - Total number of images: 1888
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: 736
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: 608
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: 3040
144
  - Total number of aspect buckets: 3
145
  - Resolution: 1.0 megapixels
146
  - Cropped: True
@@ -148,31 +92,7 @@ You may reuse the base model text encoder for inference.
148
  - Crop aspect: random
149
  ### ethnic
150
  - Repeats: 0
151
- - Total number of images: 3072
152
- - Total number of aspect buckets: 3
153
- - Resolution: 1.0 megapixels
154
- - Cropped: True
155
- - Crop style: random
156
- - Crop aspect: random
157
- ### sports
158
- - Repeats: 0
159
- - Total number of images: 736
160
- - Total number of aspect buckets: 3
161
- - Resolution: 1.0 megapixels
162
- - Cropped: True
163
- - Crop style: random
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
171
- - Crop style: random
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
@@ -180,7 +100,7 @@ You may reuse the base model text encoder for inference.
180
  - Crop aspect: random
181
  ### shutterstock
182
  - Repeats: 0
183
- - Total number of images: 21059
184
  - Total number of aspect buckets: 3
185
  - Resolution: 1.0 megapixels
186
  - Cropped: True
@@ -188,15 +108,15 @@ 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: 8992
192
- - Total number of aspect buckets: 3
193
  - Resolution: 1.0 megapixels
194
  - Cropped: True
195
  - Crop style: random
196
  - Crop aspect: random
197
  ### nsfw-1024
198
  - Repeats: 0
199
- - Total number of images: 10761
200
  - Total number of aspect buckets: 3
201
  - Resolution: 1.0 megapixels
202
  - Cropped: True
@@ -204,7 +124,7 @@ You may reuse the base model text encoder for inference.
204
  - Crop aspect: random
205
  ### anatomy
206
  - Repeats: 5
207
- - Total number of images: 16385
208
  - Total number of aspect buckets: 3
209
  - Resolution: 1.0 megapixels
210
  - Cropped: True
@@ -212,7 +132,7 @@ 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: 89250
216
  - Total number of aspect buckets: 3
217
  - Resolution: 1.0 megapixels
218
  - Cropped: True
@@ -220,7 +140,7 @@ You may reuse the base model text encoder for inference.
220
  - Crop aspect: random
221
  ### yoga
222
  - Repeats: 0
223
- - Total number of images: 3584
224
  - Total number of aspect buckets: 3
225
  - Resolution: 1.0 megapixels
226
  - Cropped: True
@@ -228,15 +148,15 @@ You may reuse the base model text encoder for inference.
228
  - Crop aspect: random
229
  ### photo-aesthetics
230
  - Repeats: 0
231
- - Total number of images: 33121
232
  - Total number of aspect buckets: 3
233
  - Resolution: 1.0 megapixels
234
  - Cropped: True
235
  - Crop style: random
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  - Crop aspect: random
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  ### text-1mp
238
- - Repeats: 25
239
- - Total number of images: 13120
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  - Total number of aspect buckets: 3
241
  - Resolution: 1.0 megapixels
242
  - Cropped: True
@@ -244,7 +164,7 @@ You may reuse the base model text encoder for inference.
244
  - Crop aspect: random
245
  ### photo-concept-bucket
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  - Repeats: 0
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- - Total number of images: 567521
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  - Total number of aspect buckets: 3
249
  - Resolution: 1.0 megapixels
250
  - Cropped: True
 
1
  ---
2
  license: creativeml-openrail-m
3
+ base_model: "ptx0/terminus-xl-velocity-v2"
4
  tags:
5
  - stable-diffusion
6
  - stable-diffusion-diffusers
 
14
 
15
  # terminus-xl-velocity-training
16
 
17
+ This is a full rank finetuned model derived from [ptx0/terminus-xl-velocity-v2](https://huggingface.co/ptx0/terminus-xl-velocity-v2).
18
 
19
  The main validation prompt used during training was:
20
 
21
  ```
22
+ a cute anime character named toast holding a sign that says SOON, sitting next to a red square on her left side, and a transparent sphere on her right side
23
  ```
24
 
25
  ## Validation settings
 
27
  - CFG Rescale: `0.7`
28
  - Steps: `30`
29
  - Sampler: `euler`
30
+ - Seed: `42`
31
  - Resolutions: `1024x1024,1152x960,896x1152`
32
 
33
  Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
 
44
  ## Training settings
45
 
46
  - Training epochs: 0
47
+ - Training steps: 200
48
+ - Learning rate: 4e-07
49
+ - Effective batch size: 16
50
+ - Micro-batch size: 4
51
  - Gradient accumulation steps: 4
52
  - Prediction type: v_prediction
53
  - Rescaled betas zero SNR: True
 
59
  ## Datasets
60
 
61
  ### celebrities
62
+ - Repeats: 0
63
+ - Total number of images: 144
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: 208
 
 
 
 
 
 
 
 
72
  - Total number of aspect buckets: 3
73
  - Resolution: 1.0 megapixels
74
  - Cropped: True
 
76
  - Crop aspect: random
77
  ### pixel-art
78
  - Repeats: 0
79
+ - Total number of images: 112
 
 
 
 
 
 
 
 
80
  - Total number of aspect buckets: 3
81
  - Resolution: 1.0 megapixels
82
  - Cropped: True
 
84
  - Crop aspect: random
85
  ### moviecollection
86
  - Repeats: 0
87
+ - Total number of images: 208
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
88
  - Total number of aspect buckets: 3
89
  - Resolution: 1.0 megapixels
90
  - Cropped: True
 
92
  - Crop aspect: random
93
  ### ethnic
94
  - Repeats: 0
95
+ - Total number of images: 368
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96
  - Total number of aspect buckets: 3
97
  - Resolution: 1.0 megapixels
98
  - Cropped: True
 
100
  - Crop aspect: random
101
  ### shutterstock
102
  - Repeats: 0
103
+ - Total number of images: 2608
104
  - Total number of aspect buckets: 3
105
  - Resolution: 1.0 megapixels
106
  - Cropped: True
 
108
  - Crop aspect: random
109
  ### cinemamix-1mp
110
  - Repeats: 0
111
+ - Total number of images: 1104
112
+ - Total number of aspect buckets: 1
113
  - Resolution: 1.0 megapixels
114
  - Cropped: True
115
  - Crop style: random
116
  - Crop aspect: random
117
  ### nsfw-1024
118
  - Repeats: 0
119
+ - Total number of images: 1328
120
  - Total number of aspect buckets: 3
121
  - Resolution: 1.0 megapixels
122
  - Cropped: True
 
124
  - Crop aspect: random
125
  ### anatomy
126
  - Repeats: 5
127
+ - Total number of images: 2032
128
  - Total number of aspect buckets: 3
129
  - Resolution: 1.0 megapixels
130
  - Cropped: True
 
132
  - Crop aspect: random
133
  ### bg20k-1024
134
  - Repeats: 0
135
+ - Total number of images: 11136
136
  - Total number of aspect buckets: 3
137
  - Resolution: 1.0 megapixels
138
  - Cropped: True
 
140
  - Crop aspect: random
141
  ### yoga
142
  - Repeats: 0
143
+ - Total number of images: 448
144
  - Total number of aspect buckets: 3
145
  - Resolution: 1.0 megapixels
146
  - Cropped: True
 
148
  - Crop aspect: random
149
  ### photo-aesthetics
150
  - Repeats: 0
151
+ - Total number of images: 4128
152
  - Total number of aspect buckets: 3
153
  - Resolution: 1.0 megapixels
154
  - Cropped: True
155
  - Crop style: random
156
  - Crop aspect: random
157
  ### text-1mp
158
+ - Repeats: 5
159
+ - Total number of images: 1616
160
  - Total number of aspect buckets: 3
161
  - Resolution: 1.0 megapixels
162
  - Cropped: True
 
164
  - Crop aspect: random
165
  ### photo-concept-bucket
166
  - Repeats: 0
167
+ - Total number of images: 70912
168
  - Total number of aspect buckets: 3
169
  - Resolution: 1.0 megapixels
170
  - Cropped: True
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