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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ images/stellar-diffusion-comp-nebulas.png filter=lfs diff=lfs merge=lfs -text
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+ images/stellar-diffusion-comp-hard.png filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -9,8 +9,8 @@ tags:
9
 
10
  # Stellar Diffusion
11
 
12
- Stellar Diffusion v0.1 vs Base Stable Diffusion v1.5
13
- ![Galaxy - Stellar Diffusion](images/galaxy_std.png) ![Galaxy - Stable Diffusion](images/galaxy_sd.png)
14
  ```
15
  prompt = A hubble photograph of a galaxy
16
  seed = 42
@@ -18,53 +18,59 @@ size = 512x512
18
  ```
19
 
20
 
21
- Version: 0.1
22
 
23
  Stable Diffusion 1.5 finetuned on high quality processed space imagery.
24
 
25
  ---
26
- # Example Results
27
 
28
- ![Barred Spiral - Stellar Diffusion](images/barredspiral.png)
29
- ```
30
- prompt = A barred spiral galaxy
31
- seed = 44
32
- size = 512x512
33
- ```
34
 
35
- ![Bright Constellation - Stellar Diffusion](images/brightconstellation.png)
36
- ```
37
- prompt = bright, constellation, hubble, clouds
38
- seed = 42
39
- size = 512x512
40
- ```
41
 
42
- ![Nebula - Stellar Diffusion](images/nebula.png)
43
- ```
44
- prompt = a hubble photograph of a nebula
45
- seed = 42
46
- size = 512x512
47
- ```
48
 
49
- ![NGC 7714 - Stellar Diffusion](images/ngc7714.png)
50
- ```
51
- prompt = ngc 7714
52
- seed = 42
53
- size = 512x512
54
  ```
55
 
 
 
 
 
 
 
 
 
 
 
 
 
56
  ---
57
 
58
  # Suggested parameters
59
 
60
  512x512
61
 
 
 
 
 
 
 
 
 
62
  ---
63
 
64
  # Reconized Tags
65
 
66
  All reconized tags can be found in the tags.txt file. They are generated from the annotated descriptions of the photograph.
67
- Current Dataset is small and is poor at generating exact celestial bodies, but is better at generating common generic bodies like nebula, galaxies etc.
68
 
69
  ### Partial support for scientific celestial body tags as follows:
70
 
@@ -82,23 +88,7 @@ By Color
82
 
83
  By Celestial Body type
84
 
85
- # Python Usage
86
-
87
- ```py
88
- from diffusers import StableDiffusionPipeline
89
- import torch
90
 
91
- model_id = "rexwang8/stellar-diffusion"
92
- pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
93
- pipe = pipe.to("cuda")
94
-
95
- prompt = "A hubble photograph of a galaxy"
96
- image = pipe(prompt).images[0]
97
-
98
- image.save("hubble_galaxy.png")
99
- ```
100
-
101
- ---
102
 
103
  # Dataset and Credits
104
 
@@ -110,33 +100,22 @@ RunwayML for their SD 1.5
110
 
111
  ### Compute
112
 
113
- Coreweave - 2x A40s
114
 
115
  ### Dataset
116
 
117
  91 of the 100 images from https://esahubble.org/ Top 100 Hubble Images
118
  ESA/Hubble
119
 
120
- ---
121
 
122
- # Planned
123
 
124
- Expansion of dataset to include:
125
-
126
- Solar system
127
-
128
- Asteroids
129
-
130
- More star types
131
-
132
- Black holes
133
-
134
- Exo planets
135
-
136
- More data in general
137
 
138
  ---
139
 
140
  # Version History
141
 
 
 
142
  V0.1 - 91 image dataset
 
9
 
10
  # Stellar Diffusion
11
 
12
+ Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
13
+ ![Galaxy - Stellar Diffusion](images/o7_11.png) ![Galaxy - Stable Diffusion](images/galaxy_sd.png)
14
  ```
15
  prompt = A hubble photograph of a galaxy
16
  seed = 42
 
18
  ```
19
 
20
 
21
+ Version: 0.2 (Nebula)
22
 
23
  Stable Diffusion 1.5 finetuned on high quality processed space imagery.
24
 
25
  ---
 
26
 
27
+ # Python Usage
 
 
 
 
 
28
 
29
+ ```py
30
+ from diffusers import StableDiffusionPipeline
31
+ import torch
 
 
 
32
 
33
+ model_id = "rexwang8/stellar-diffusion"
34
+ pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
35
+ pipe = pipe.to("cuda")
 
 
 
36
 
37
+ prompt = "A hubble photograph of a galaxy"
38
+ image = pipe(prompt).images[0]
39
+
40
+ image.save("hubble_galaxy.png")
 
41
  ```
42
 
43
+ ---
44
+ # Example Results
45
+
46
+ ![Stellar Diffusion](images/stellar-diffusion-comp-simple.png)
47
+
48
+ ![Stellar Diffusion](images/stellar-diffusion-comp-hard.png)
49
+
50
+ ![Stellar Diffusion](images/stellar-diffusion-comp-nebulas.png)
51
+
52
+ ![Stellar Diffusion](images/stellar-diffusion-comp-styles.png)
53
+
54
+
55
  ---
56
 
57
  # Suggested parameters
58
 
59
  512x512
60
 
61
+ Place subjects and styles at the very front, roll a few times if you don't get the results you want.
62
+
63
+ Great - Nebulas, Galaxies
64
+
65
+ Good - Black holes, Pulsars, Comets, Jupiter
66
+
67
+ Decent - All other solar system planets
68
+
69
  ---
70
 
71
  # Reconized Tags
72
 
73
  All reconized tags can be found in the tags.txt file. They are generated from the annotated descriptions of the photograph.
 
74
 
75
  ### Partial support for scientific celestial body tags as follows:
76
 
 
88
 
89
  By Celestial Body type
90
 
 
 
 
 
 
91
 
 
 
 
 
 
 
 
 
 
 
 
92
 
93
  # Dataset and Credits
94
 
 
100
 
101
  ### Compute
102
 
103
+ Coreweave - 2x A40s (~3 A40 hours)
104
 
105
  ### Dataset
106
 
107
  91 of the 100 images from https://esahubble.org/ Top 100 Hubble Images
108
  ESA/Hubble
109
 
110
+ ~100 additional images from ESA/Hubble and ~10 images from ESA/Webb
111
 
112
+ ~50 additional images from images.nasa.gov
113
 
 
 
 
 
 
 
 
 
 
 
 
 
 
114
 
115
  ---
116
 
117
  # Version History
118
 
119
+ V0.2 (Codename: Galaxy) - 264 image dataset
120
+
121
  V0.1 - 91 image dataset
images/o7_11.png ADDED
images/stellar-diffusion-comp-hard.png ADDED

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@@ -1,281 +1,457 @@
1
- hubble: 81
2
- space: 65
3
- red: 63
4
- hubble space telescope: 62
5
- star: 61
6
- nasa: 56
7
- esa: 56
8
- galaxy: 53
9
- gas: 37
10
- constellation: 36
11
- dust: 35
12
- galaxies: 32
13
- spiral: 29
14
- bright: 29
15
- earth: 28
16
- cloud: 27
17
- nebula: 26
18
- young: 22
19
- glow: 22
20
- blue: 20
21
- clouds: 20
22
- milky way: 19
23
- spiral galaxy: 18
24
- wide field camera 3: 18
25
- disc: 17
26
- sun: 17
27
- dark: 16
28
- planetary: 16
29
- hydrogen: 15
30
- star formation: 15
31
- infrared: 12
32
- advanced camera for surveys: 12
33
- glowing: 12
34
- elliptical: 11
35
- radiation: 11
36
- wfc3: 11
37
- gravitation: 10
38
- star forming: 10
39
- star cluster: 9
40
- arc: 9
41
- messier: 9
42
- ultraviolet: 9
43
- globular cluster: 8
44
- globular clusters: 8
45
- supernova: 8
46
- eso: 8
47
- merge: 7
48
- green: 7
49
- planetary nebula: 7
50
- starburst: 7
51
- moon: 6
52
- barred spiral galaxy: 6
53
- dust lane: 6
54
- acs: 6
55
- black hole: 6
56
- turbulent: 6
57
- atmosphere: 6
58
- dust lanes: 5
59
- star clusters: 5
60
- carina: 5
61
- comet: 5
62
- aging: 5
63
- reddish: 5
64
- hunter: 5
65
- galaxy cluster: 5
66
- pillar: 5
67
- large magellanic cloud: 5
68
- saturn: 5
69
- orange: 4
70
- halo: 4
71
- nebulae: 4
72
- orion: 4
73
- pink: 4
74
- collection: 4
75
- starburst galaxy: 4
76
- solar system: 4
77
- stellar nursery: 4
78
- coma berenices: 3
79
- colliding: 3
80
- supermassive: 3
81
- supermassive black hole: 3
82
- satellite: 3
83
- planetary nebulae: 3
84
- tilt: 3
85
- white dwarf: 3
86
- tint: 3
87
- hubble servicing mission: 3
88
- stellar wind: 3
89
- great red spot: 3
90
- tendril: 3
91
- tendrils: 3
92
- carina nebula: 3
93
- deep field: 2
94
- pinwheel: 2
95
- draco: 2
96
- puppis: 2
97
- lepus: 2
98
- small magellanic cloud: 2
99
- satellite galaxy: 2
100
- filaments: 2
101
- filament: 2
102
- web: 2
103
- lacy: 2
104
- pegasus: 2
105
- twins: 2
106
- tinted: 2
107
- arcs: 2
108
- grand: 2
109
- hidden treasures: 2
110
- stellar winds: 2
111
- voyager: 2
112
- supernovae: 2
113
- dorado: 2
114
- white dwarfs: 2
115
- variable star: 2
116
- variable: 2
117
- ngc 6302: 2
118
- butterfly nebula: 2
119
- butterfly: 2
120
- virgo: 2
121
- cetus: 2
122
- eagle nebula: 2
123
- tarantula nebula: 2
124
- crab nebula: 2
125
- crab: 2
126
- thread: 2
127
- ngc4826: 1
128
- black eye: 1
129
- evil eye: 1
130
- ngc 1672: 1
131
- ugc 10214: 1
132
- 3b: 1
133
- hubble deep field: 1
134
- tadpole: 1
135
- ngc 2525: 1
136
- ngc2525: 1
137
- messier 79: 1
138
- messier'€™s: 1
139
- ngc 346: 1
140
- smc: 1
141
- ngc 7049: 1
142
- indus: 1
143
- pn m2: 1
144
- m2: 1
145
- twin jet nebula: 1
146
- bipolar planetary nebula: 1
147
- outburst: 1
148
- binary: 1
149
- binary system: 1
150
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151
- hydra: 1
152
- sea serpent: 1
153
- ngc 7331: 1
154
- winged horse: 1
155
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156
- ngc 2841: 1
157
- horsehead nebula: 1
158
- horsehead: 1
159
- barnard: 1
160
- m81: 1
161
- 1993j: 1
162
- messier 94: 1
163
- ngc 2371: 1
164
- galaxy clusters: 1
165
- brightest cluster galaxy: 1
166
- bcg: 1
167
- sloan digital sky survey: 1
168
- sdss j1156+1911: 1
169
- greenish: 1
170
- ngc 7320: 1
171
- 7318a: 1
172
- 7318b: 1
173
- natal cloud: 1
174
- n90: 1
175
- messier 106: 1
176
- ic 418: 1
177
- ngc 3201: 1
178
- ngc 7635: 1
179
- ic 10: 1
180
- ugca 193: 1
181
- sextans: 1
182
- sextant: 1
183
- abell 1703: 1
184
- westerlund 2: 1
185
- 022058s: 1
186
- einstein rings: 1
187
- einstein ring: 1
188
- molten ring: 1
189
- new horizons: 1
190
- spacecraft: 1
191
- turbulence: 1
192
- m74: 1
193
- eso 510: 1
194
- eso 381: 1
195
- ngc 2022: 1
196
- ngc 4038: 1
197
- antennae: 1
198
- antennae galaxies: 1
199
- ngc 1792: 1
200
- ngc 5866: 1
201
- ngc 2264: 1
202
- m16: 1
203
- cone nebula: 1
204
- europa: 1
205
- ngc 1805: 1
206
- n11: 1
207
- messier 57: 1
208
- variable stars: 1
209
- rs puppis: 1
210
- cepheid: 1
211
- cepheid variable: 1
212
- north pole: 1
213
- auroras: 1
214
- hh 901: 1
215
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