pcuenq HF Staff commited on
Commit
9c7b009
·
1 Parent(s): d0a6dc9

Formatting attempt

Browse files
Files changed (1) hide show
  1. README.md +16 -65
README.md CHANGED
@@ -7,25 +7,25 @@ sdk: static
7
  pinned: false
8
  ---
9
 
10
- <h2>
11
  Welcome to CompVis!
12
- </h2>
13
 
14
  <p>
15
  We host public weights for Latent Diffusion and Stable Diffusion models. There are several options to choose from, please check the details below.
16
  </p>
17
 
18
 
19
- <h3>
20
- Stable Diffusion Models
21
- </h3>
22
 
23
  <p>
24
  Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion works, please have a look at [🤗's Stable Diffusion with D🧨ffusers blog](hf.co/blog/stable_diffusion).
25
  </p>
26
 
27
  <p>
28
- We recommend you use Stable Diffusion with [🤗 Diffusers library](https://github.com/huggingface/diffusers). You can also use the original [CompVis code](https://github.com/compvis/stable-diffusion). There are variants of the weights depending on:
29
  <ul>
30
  <li>The library they are intended for.</li>
31
  <li>The training regime. There are 4 training versions: `v1-1` through `v1-4`. Each one was created from the checkpoint of the previous version, and was trained for additional steps in specific variants of the dataset.
@@ -35,62 +35,13 @@ We recommend you use Stable Diffusion with [🤗 Diffusers library](https://gith
35
  Please, refer to the details in the following table to choose the weights appropriate for your use.
36
  </p>
37
 
38
- <style type="text/css">
39
- .tg {border-collapse:collapse;border-spacing:0;}
40
- .tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
41
- overflow:hidden;padding:10px 5px;word-break:normal;}
42
- .tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
43
- font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
44
- .tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}
45
- </style>
46
- <table class="tg">
47
- <thead>
48
- <tr>
49
- <th class="tg-0pky">Model</th>
50
- <th class="tg-0pky">Library</th>
51
- <th class="tg-0pky">Details</th>
52
- </tr>
53
- </thead>
54
- <tbody>
55
- <tr>
56
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-1" target="_blank" rel="noopener noreferrer">stable-diffusion-v1-1</a></td>
57
- <td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400">🤗</span></a><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer">Diffusers</a></td>
58
- <td class="tg-0pky">237k steps at resolution 256x256 on laion2B-en.<br>194k steps at resolution 512x512 on laion-high-resolution.</td>
59
- </tr>
60
- <tr>
61
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-2" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-2</span></a></td>
62
- <td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
63
- <td class="tg-0pky">v1-1 plus:<br>515k steps at 512x512 on "laion-improved-aesthetics".</td>
64
- </tr>
65
- <tr>
66
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-3" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-3</span></a></td>
67
- <td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
68
- <td class="tg-0pky">v1-2 plus:<br>195k steps at 512x512 on "laion-improved-aesthetics",with 10% dropping of text-conditioning.</td>
69
- </tr>
70
- <tr>
71
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-4" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-4</span></a></td>
72
- <td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
73
- <td class="tg-0pky"></td>
74
- </tr>
75
- <tr>
76
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-1-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-1-original</span></a></td>
77
- <td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer">CompVis</a></td>
78
- <td class="tg-0pky">237k steps at resolution 256x256 on laion2B-en.<br>194k steps at resolution 512x512 on laion-high-resolution.</td>
79
- </tr>
80
- <tr>
81
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-2-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-2-original</span></a></td>
82
- <td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
83
- <td class="tg-0pky">v1-1 plus:<br>515k steps at 512x512 on "laion-improved-aesthetics".</td>
84
- </tr>
85
- <tr>
86
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-3-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-3-original</span></a></td>
87
- <td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
88
- <td class="tg-0pky">v1-2 plus:<br>195k steps at 512x512 on "laion-improved-aesthetics",<br>with 10% dropping of text-conditioning.</td>
89
- </tr>
90
- <tr>
91
- <td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-4-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-4-original</span></a></td>
92
- <td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
93
- <td class="tg-0pky"></td>
94
- </tr>
95
- </tbody>
96
- </table>
 
7
  pinned: false
8
  ---
9
 
10
+ <p>
11
  Welcome to CompVis!
12
+ </p>
13
 
14
  <p>
15
  We host public weights for Latent Diffusion and Stable Diffusion models. There are several options to choose from, please check the details below.
16
  </p>
17
 
18
 
19
+ <p>
20
+ <b>Stable Diffusion Models</b>
21
+ </p>
22
 
23
  <p>
24
  Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion works, please have a look at [🤗's Stable Diffusion with D🧨ffusers blog](hf.co/blog/stable_diffusion).
25
  </p>
26
 
27
  <p>
28
+ We recommend you use Stable Diffusion with <a href="https://github.com/huggingface/diffusers">🤗 Diffusers library</a>. You can also use the original <a href="https://github.com/compvis/stable-diffusion">CompVis code</a>. There are variants of the weights depending on:
29
  <ul>
30
  <li>The library they are intended for.</li>
31
  <li>The training regime. There are 4 training versions: `v1-1` through `v1-4`. Each one was created from the checkpoint of the previous version, and was trained for additional steps in specific variants of the dataset.
 
35
  Please, refer to the details in the following table to choose the weights appropriate for your use.
36
  </p>
37
 
38
+ | Model | Library | Details |
39
+ |--------------------------------|------------|------------------------------------------------------------------------------------------------------------|
40
+ | stable-diffusion-v1-1 | 🤗Diffusers | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
41
+ | stable-diffusion-v1-2 | Diffusers | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
42
+ | stable-diffusion-v1-3 | Diffusers | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics",with 10% dropping of text-conditioning. |
43
+ | stable-diffusion-v1-4 | Diffusers | |
44
+ | stable-diffusion-v1-1-original | CompVis | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
45
+ | stable-diffusion-v1-2-original | CompVis | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
46
+ | stable-diffusion-v1-3-original | CompVis | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics", with 10% dropping of text-conditioning. |
47
+ | stable-diffusion-v1-4-original | CompVis | |