5 |
6 |
9 |
10 |
11 | {{ content | toc }}
12 |
13 |
14 |
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/docs/_sass/minima.scss:
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1 | @charset "utf-8";
2 |
3 | // Define defaults for each variable.
4 |
5 | $base-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol" !default;
6 | $base-font-size: 16px !default;
7 | $base-font-weight: 400 !default;
8 | $small-font-size: $base-font-size * 0.875 !default;
9 | $base-line-height: 1.5 !default;
10 |
11 | $spacing-unit: 30px !default;
12 |
13 | $text-color: #e7f6f2!default;
14 | $background-color: #2c3333 !default;
15 | $brand-color: #FF8C6A !default;
16 |
17 | $grey-color: lighten($brand-color, 30%) !default;
18 | $grey-color-light: lighten($grey-color, 40%) !default;
19 | $grey-color-dark: darken($grey-color, 25%) !default;
20 |
21 | $table-text-align: left !default;
22 |
23 | // Width of the content area
24 | $content-width: 800px !default;
25 |
26 | $on-palm: 600px !default;
27 | $on-laptop: 800px !default;
28 |
29 | // Use media queries like this:
30 | // @include media-query($on-palm) {
31 | // .wrapper {
32 | // padding-right: $spacing-unit / 2;
33 | // padding-left: $spacing-unit / 2;
34 | // }
35 | // }
36 | @mixin media-query($device) {
37 | @media screen and (max-width: $device) {
38 | @content;
39 | }
40 | }
41 |
42 | @mixin relative-font-size($ratio) {
43 | font-size: $base-font-size * $ratio;
44 | }
45 |
46 | // Import partials.
47 | @import
48 | "minima/base",
49 | "minima/layout",
50 | "minima/syntax-highlighting"
51 | ;
52 |
53 |
54 | img{
55 | display: block;
56 | margin : 1em;
57 | margin-left:auto;
58 | margin-right:auto;
59 | }
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/docs/_sass/minima/_base.scss:
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1 | /**
2 | * Reset some basic elements
3 | */
4 | body, h1, h2, h3, h4, h5, h6,
5 | p, blockquote, pre, hr,
6 | dl, dd, ol, ul, figure {
7 | margin: 0;
8 | padding: 0;
9 | }
10 |
11 |
12 |
13 | /**
14 | * Basic styling
15 | */
16 | body {
17 | font: $base-font-weight #{$base-font-size}/#{$base-line-height} $base-font-family;
18 | color: $text-color;
19 | background-color: $background-color;
20 | -webkit-text-size-adjust: 100%;
21 | -webkit-font-feature-settings: "kern" 1;
22 | -moz-font-feature-settings: "kern" 1;
23 | -o-font-feature-settings: "kern" 1;
24 | font-feature-settings: "kern" 1;
25 | font-kerning: normal;
26 | display: flex;
27 | min-height: 100vh;
28 | flex-direction: column;
29 | }
30 |
31 |
32 |
33 | /**
34 | * Set `margin-bottom` to maintain vertical rhythm
35 | */
36 | h1, h2, h3, h4, h5, h6,
37 | p, blockquote, pre,
38 | ul, ol, dl, figure,
39 | %vertical-rhythm {
40 | margin-bottom: $spacing-unit / 2;
41 | }
42 |
43 |
44 |
45 | /**
46 | * `main` element
47 | */
48 | main {
49 | display: block; /* Default value of `display` of `main` element is 'inline' in IE 11. */
50 | }
51 |
52 |
53 |
54 | /**
55 | * Images
56 | */
57 | img {
58 | max-width: 100%;
59 | vertical-align: middle;
60 | }
61 |
62 |
63 |
64 | /**
65 | * Figures
66 | */
67 | figure > img {
68 | display: block;
69 | }
70 |
71 | figcaption {
72 | font-size: $small-font-size;
73 | }
74 |
75 |
76 |
77 | /**
78 | * Lists
79 | */
80 | ul, ol {
81 | margin-left: $spacing-unit;
82 | }
83 |
84 | li {
85 | > ul,
86 | > ol {
87 | margin-bottom: 0;
88 | }
89 | }
90 |
91 |
92 |
93 | /**
94 | * Headings
95 | */
96 | h1, h2, h3, h4, h5, h6 {
97 | font-weight: $base-font-weight;
98 | }
99 |
100 |
101 |
102 | /**
103 | * Links
104 | */
105 | a {
106 | color: $brand-color;
107 | text-decoration: none;
108 |
109 | &:visited {
110 | color: darken($brand-color, 15%);
111 | }
112 |
113 | &:hover {
114 | color: $text-color;
115 | text-decoration: underline;
116 | }
117 |
118 | .social-media-list &:hover {
119 | text-decoration: none;
120 |
121 | .username {
122 | text-decoration: underline;
123 | }
124 | }
125 | }
126 |
127 |
128 | /**
129 | * Blockquotes
130 | */
131 | blockquote {
132 | color: $grey-color;
133 | border-left: 4px solid $grey-color-light;
134 | padding-left: $spacing-unit / 2;
135 | @include relative-font-size(1.125);
136 | letter-spacing: -1px;
137 | font-style: italic;
138 |
139 | > :last-child {
140 | margin-bottom: 0;
141 | }
142 | }
143 |
144 |
145 |
146 | /**
147 | * Code formatting
148 | */
149 | pre,
150 | code {
151 | @include relative-font-size(0.9375);
152 | border: 1px solid $grey-color-light;
153 | border-radius: 3px;
154 | }
155 |
156 | code {
157 | padding: 1px 5px;
158 | }
159 |
160 | pre {
161 | padding: 8px 12px;
162 | overflow-x: auto;
163 |
164 | > code {
165 | border: 0;
166 | padding-right: 0;
167 | padding-left: 0;
168 | }
169 | }
170 |
171 |
172 |
173 | /**
174 | * Wrapper
175 | */
176 | .wrapper {
177 | max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit} * 2));
178 | max-width: calc(#{$content-width} - (#{$spacing-unit} * 2));
179 | margin-right: auto;
180 | margin-left: auto;
181 | padding-right: $spacing-unit;
182 | padding-left: $spacing-unit;
183 | @extend %clearfix;
184 |
185 | @include media-query($on-laptop) {
186 | max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit}));
187 | max-width: calc(#{$content-width} - (#{$spacing-unit}));
188 | padding-right: $spacing-unit / 2;
189 | padding-left: $spacing-unit / 2;
190 | }
191 | }
192 |
193 |
194 |
195 | /**
196 | * Clearfix
197 | */
198 | %clearfix:after {
199 | content: "";
200 | display: table;
201 | clear: both;
202 | }
203 |
204 |
205 |
206 | /**
207 | * Icons
208 | */
209 |
210 | .svg-icon {
211 | width: 16px;
212 | height: 16px;
213 | display: inline-block;
214 | fill: #{$grey-color};
215 | padding-right: 5px;
216 | vertical-align: text-top;
217 | }
218 |
219 | .social-media-list {
220 | li + li {
221 | padding-top: 5px;
222 | }
223 | }
224 |
225 |
226 |
227 | /**
228 | * Tables
229 | */
230 | table {
231 | margin-bottom: $spacing-unit;
232 | width: 100%;
233 | text-align: $table-text-align;
234 | color: lighten($text-color, 18%);
235 | border-collapse: collapse;
236 | border: 1px solid $grey-color-light;
237 | th, td {
238 | padding: ($spacing-unit / 3) ($spacing-unit / 2);
239 | }
240 | th {
241 | border: 1px solid darken($grey-color-light, 4%);
242 | border-bottom-color: darken($grey-color-light, 12%);
243 | }
244 | td {
245 | border: 1px solid $grey-color-light;
246 | }
247 | }
248 |
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/docs/_sass/minima/_layout.scss:
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1 | /**
2 | * Site header
3 | */
4 | .site-header {
5 | border-top: 5px solid $grey-color-dark;
6 | border-bottom: 1px solid $grey-color-light;
7 | min-height: $spacing-unit * 1.865;
8 |
9 | // Positioning context for the mobile navigation icon
10 | position: relative;
11 | }
12 |
13 | .site-title {
14 | @include relative-font-size(1.625);
15 | font-weight: 300;
16 | line-height: $base-line-height * $base-font-size * 2.25;
17 | letter-spacing: -1px;
18 | margin-bottom: 0;
19 | float: left;
20 |
21 | &,
22 | &:visited {
23 | color: $grey-color-dark;
24 | }
25 | }
26 |
27 | .site-nav {
28 | float: right;
29 | line-height: $base-line-height * $base-font-size * 2.25;
30 |
31 | .nav-trigger {
32 | display: none;
33 | }
34 |
35 | .menu-icon {
36 | display: none;
37 | }
38 |
39 | .page-link {
40 | color: $text-color;
41 | line-height: $base-line-height;
42 |
43 | // Gaps between nav items, but not on the last one
44 | &:not(:last-child) {
45 | margin-right: 20px;
46 | }
47 | }
48 |
49 | @include media-query($on-palm) {
50 | position: absolute;
51 | top: 9px;
52 | right: $spacing-unit / 2;
53 | background-color: $background-color;
54 | border: 1px solid $grey-color-light;
55 | border-radius: 5px;
56 | text-align: right;
57 |
58 | label[for="nav-trigger"] {
59 | display: block;
60 | float: right;
61 | width: 36px;
62 | height: 36px;
63 | z-index: 2;
64 | cursor: pointer;
65 | }
66 |
67 | .menu-icon {
68 | display: block;
69 | float: right;
70 | width: 36px;
71 | height: 26px;
72 | line-height: 0;
73 | padding-top: 10px;
74 | text-align: center;
75 |
76 | > svg {
77 | fill: $grey-color-dark;
78 | }
79 | }
80 |
81 | input ~ .trigger {
82 | clear: both;
83 | display: none;
84 | }
85 |
86 | input:checked ~ .trigger {
87 | display: block;
88 | padding-bottom: 5px;
89 | }
90 |
91 | .page-link {
92 | display: block;
93 | padding: 5px 10px;
94 |
95 | &:not(:last-child) {
96 | margin-right: 0;
97 | }
98 | margin-left: 20px;
99 | }
100 | }
101 | }
102 |
103 |
104 |
105 | /**
106 | * Site footer
107 | */
108 | .site-footer {
109 | border-top: 1px solid $grey-color-light;
110 | padding: $spacing-unit 0;
111 | }
112 |
113 | .footer-heading {
114 | @include relative-font-size(1.125);
115 | margin-bottom: $spacing-unit / 2;
116 | }
117 |
118 | .contact-list,
119 | .social-media-list {
120 | list-style: none;
121 | margin-left: 0;
122 | }
123 |
124 | .footer-col-wrapper {
125 | @include relative-font-size(0.9375);
126 | color: $grey-color;
127 | margin-left: -$spacing-unit / 2;
128 | @extend %clearfix;
129 | }
130 |
131 | .footer-col {
132 | float: left;
133 | margin-bottom: $spacing-unit / 2;
134 | padding-left: $spacing-unit / 2;
135 | }
136 |
137 | .footer-col-1 {
138 | width: -webkit-calc(35% - (#{$spacing-unit} / 2));
139 | width: calc(35% - (#{$spacing-unit} / 2));
140 | }
141 |
142 | .footer-col-2 {
143 | width: -webkit-calc(20% - (#{$spacing-unit} / 2));
144 | width: calc(20% - (#{$spacing-unit} / 2));
145 | }
146 |
147 | .footer-col-3 {
148 | width: -webkit-calc(45% - (#{$spacing-unit} / 2));
149 | width: calc(45% - (#{$spacing-unit} / 2));
150 | }
151 |
152 | @include media-query($on-laptop) {
153 | .footer-col-1,
154 | .footer-col-2 {
155 | width: -webkit-calc(50% - (#{$spacing-unit} / 2));
156 | width: calc(50% - (#{$spacing-unit} / 2));
157 | }
158 |
159 | .footer-col-3 {
160 | width: -webkit-calc(100% - (#{$spacing-unit} / 2));
161 | width: calc(100% - (#{$spacing-unit} / 2));
162 | }
163 | }
164 |
165 | @include media-query($on-palm) {
166 | .footer-col {
167 | float: none;
168 | width: -webkit-calc(100% - (#{$spacing-unit} / 2));
169 | width: calc(100% - (#{$spacing-unit} / 2));
170 | }
171 | }
172 |
173 |
174 |
175 | /**
176 | * Page content
177 | */
178 | .page-content {
179 | padding: $spacing-unit 0;
180 | flex: 1;
181 | }
182 |
183 | .page-heading {
184 | @include relative-font-size(2);
185 | }
186 |
187 | .post-list-heading {
188 | @include relative-font-size(1.75);
189 | }
190 |
191 | .post-list {
192 | margin-left: 0;
193 | list-style: none;
194 |
195 | > li {
196 | margin-bottom: $spacing-unit;
197 | }
198 | }
199 |
200 | .post-meta {
201 | font-size: $small-font-size;
202 | color: $grey-color;
203 | }
204 |
205 | .post-link {
206 | display: block;
207 | @include relative-font-size(1.5);
208 | }
209 |
210 |
211 |
212 | /**
213 | * Posts
214 | */
215 | .post-header {
216 | margin-bottom: $spacing-unit;
217 | }
218 |
219 | .post-title {
220 | @include relative-font-size(2.625);
221 | letter-spacing: -1px;
222 | line-height: 1;
223 |
224 | @include media-query($on-laptop) {
225 | @include relative-font-size(2.25);
226 | }
227 | }
228 |
229 | .post-content {
230 | margin-bottom: $spacing-unit;
231 |
232 | h2 {
233 | @include relative-font-size(2);
234 |
235 | @include media-query($on-laptop) {
236 | @include relative-font-size(1.75);
237 | }
238 | }
239 |
240 | h3 {
241 | @include relative-font-size(1.625);
242 |
243 | @include media-query($on-laptop) {
244 | @include relative-font-size(1.375);
245 | }
246 | }
247 |
248 | h4 {
249 | @include relative-font-size(1.25);
250 |
251 | @include media-query($on-laptop) {
252 | @include relative-font-size(1.125);
253 | }
254 | }
255 | }
256 |
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/docs/_sass/minima/_syntax-highlighting.scss:
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1 | /**
2 | * Syntax highlighting styles
3 | */
4 | .highlight {
5 | background: #fff;
6 | @extend %vertical-rhythm;
7 |
8 | .highlighter-rouge & {
9 | background: black;
10 | }
11 |
12 | .c { color: #998; font-style: italic } // Comment
13 | .err { color: #a61717; background-color: #e3d2d2 } // Error
14 | .k { font-weight: bold } // Keyword
15 | .o { font-weight: bold } // Operator
16 | .cm { color: #998; font-style: italic } // Comment.Multiline
17 | .cp { color: #999; font-weight: bold } // Comment.Preproc
18 | .c1 { color: #998; font-style: italic } // Comment.Single
19 | .cs { color: #999; font-weight: bold; font-style: italic } // Comment.Special
20 | .gd { color: #000; background-color: #fdd } // Generic.Deleted
21 | .gd .x { color: #000; background-color: #faa } // Generic.Deleted.Specific
22 | .ge { font-style: italic } // Generic.Emph
23 | .gr { color: #a00 } // Generic.Error
24 | .gh { color: #999 } // Generic.Heading
25 | .gi { color: #000; background-color: #dfd } // Generic.Inserted
26 | .gi .x { color: #000; background-color: #afa } // Generic.Inserted.Specific
27 | .go { color: #888 } // Generic.Output
28 | .gp { color: #555 } // Generic.Prompt
29 | .gs { font-weight: bold } // Generic.Strong
30 | .gu { color: #aaa } // Generic.Subheading
31 | .gt { color: #a00 } // Generic.Traceback
32 | .kc { font-weight: bold } // Keyword.Constant
33 | .kd { font-weight: bold } // Keyword.Declaration
34 | .kp { font-weight: bold } // Keyword.Pseudo
35 | .kr { font-weight: bold } // Keyword.Reserved
36 | .kt { color: #458; font-weight: bold } // Keyword.Type
37 | .m { color: #099 } // Literal.Number
38 | .s { color: #d14 } // Literal.String
39 | .na { color: #008080 } // Name.Attribute
40 | .nb { color: #0086B3 } // Name.Builtin
41 | .nc { color: #458; font-weight: bold } // Name.Class
42 | .no { color: #008080 } // Name.Constant
43 | .ni { color: #800080 } // Name.Entity
44 | .ne { color: #900; font-weight: bold } // Name.Exception
45 | .nf { color: #900; font-weight: bold } // Name.Function
46 | .nn { color: #777 } // Name.Namespace
47 | .nt { color: #000080 } // Name.Tag
48 | .nv { color: #008080 } // Name.Variable
49 | .ow { font-weight: bold } // Operator.Word
50 | .w { color: #bbb } // Text.Whitespace
51 | .mf { color: #099 } // Literal.Number.Float
52 | .mh { color: #099 } // Literal.Number.Hex
53 | .mi { color: #099 } // Literal.Number.Integer
54 | .mo { color: #099 } // Literal.Number.Oct
55 | .sb { color: #d14 } // Literal.String.Backtick
56 | .sc { color: #d14 } // Literal.String.Char
57 | .sd { color: #d14 } // Literal.String.Doc
58 | .s2 { color: #d14 } // Literal.String.Double
59 | .se { color: #d14 } // Literal.String.Escape
60 | .sh { color: #d14 } // Literal.String.Heredoc
61 | .si { color: #d14 } // Literal.String.Interpol
62 | .sx { color: #d14 } // Literal.String.Other
63 | .sr { color: #009926 } // Literal.String.Regex
64 | .s1 { color: #d14 } // Literal.String.Single
65 | .ss { color: #990073 } // Literal.String.Symbol
66 | .bp { color: #999 } // Name.Builtin.Pseudo
67 | .vc { color: #008080 } // Name.Variable.Class
68 | .vg { color: #008080 } // Name.Variable.Global
69 | .vi { color: #008080 } // Name.Variable.Instance
70 | .il { color: #099 } // Literal.Number.Integer.Long
71 | }
72 |
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/docs/examples.markdown:
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1 | ---
2 | layout: page
3 | title: Examples
4 | permalink: /examples/
5 | ---
6 |
7 | These examples show how to use a painting as a source. No post-processing is activated, only the upscaled inswapper with LDSR, Codeformer and segmented mask.
8 |
9 | Moliere:
10 |
11 | 
12 |
13 | Napoleon :
14 |
15 | 
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/docs/faq.markdown:
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1 | ---
2 | layout: page
3 | title: FAQ
4 | permalink: /faq/
5 | toc: true
6 | ---
7 |
8 | Our issue tracker often contains requests that may originate from a misunderstanding of the software's functionality. We aim to address these queries; however, due to time constraints, we may not be able to respond to each request individually. This FAQ section serves as a preliminary source of information for commonly raised concerns. We recommend reviewing these before submitting an issue.
9 |
10 | #### Improving Quality of Results
11 |
12 | To get better quality results:
13 |
14 | 1. Ensure that the "Restore Face" option is enabled.
15 | 2. Consider using the "Upscaler" option. For finer control, you can use an upscaler from the "Extras" tab.
16 | 3. Use img2img with the denoise parameter set to `0.1`. Gradually increase this parameter until you achieve a balance of quality and resemblance.
17 |
18 | You can also use the uspcaled inswapper. I mainly use it with the following options :
19 |
20 | 
21 |
22 |
23 | #### Replacing Specific Faces
24 |
25 | If an image contains multiple faces and you want to swap specific ones: Use the "Comma separated face number(s)" option to select the face numbers you wish to swap.
26 |
27 | #### Issues with Face Swapping
28 |
29 | If a face did not get swapped, please check the following:
30 |
31 | 1. Ensure that the "Enable" option has been checked.
32 | 2. If you've ensured the above and your console doesn't show any errors, it means that the FaceSwapLab was unable to detect a face in your image or the image was detected as NSFW (Not Safe For Work).
33 |
34 | #### Controversy Surrounding NSFW Content Filtering
35 |
36 | We understand that some users might wish to have the option to disable content filtering, particularly for Not Safe for Work (NSFW) content. However, it's important to clarify our stance on this matter. We are not categorically against NSFW content. The concern arises specifically when the software is used to superimpose the face of a real person onto NSFW content.
37 |
38 | If it were reliably possible to ensure that the faces being swapped were synthetic and not tied to real individuals, the inclusion of NSFW content would pose less of an ethical dilemma. However, in the absence of such a guarantee, making this feature easily accessible could potentially lead to misuse, which is an ethically risky scenario.
39 |
40 | This is not our intention to impose our moral perspectives. Our goal is to comply with the requirements of the models used in the software and establish a balanced boundary that respects individual privacy and prevents potential misuse.
41 |
42 | Requests to provide an option to disable the content filter will not be considered.
43 |
44 | #### What is the role of the segmentation mask for the upscaled swapper?
45 |
46 | The segmentation mask for the upscaled swapper is designed to avoid the square mask and prevent degradation of the non-face parts of the image. It is based on the Codeformer implementation. If "Use improved segmented mask (use pastenet to mask only the face)" and "upscaled inswapper" are checked in the settings, the mask will only cover the face, and will not be squared. However, depending on the image, this might introduce different types of problems such as artifacts on the border of the face.
47 |
48 | #### How to increase speed of upscaled inswapper?
49 |
50 | It is possible to choose LANCZOS for speed if Codeformer is enabled in the upscaled inswapper. The result is generally satisfactory.
51 |
52 | #### Sharpening and color correction in upscaled swapper :
53 |
54 | Sharpening can provide more natural results, but it may also add artifacts. The same goes for color correction. By default, these options are set to False.
55 |
56 | #### I don't see any extension after restart
57 |
58 | If you do not see any extensions after restarting, it is likely due to missing requirements, particularly if you're using Windows. Follow the instructions below:
59 |
60 | 1. Verify that there are no error messages in the terminal.
61 | 2. Double-check the Installation section of this document to ensure all the steps have been followed.
62 |
63 | If you are running a specific configuration (for example, Python 3.11), please test the extension with a clean installation of the stable version of Diffusion before reporting an issue. This can help isolate whether the problem is related to your specific configuration or a broader issue with the extension.
64 |
65 | #### Understanding Quality of Results
66 |
67 | The model used in this extension initially reduces the resolution of the target face before generating a 128x128 image. This means that regardless of the original image's size, the resolution of the processed faces will not exceed 128x128. Consequently, this lower resolution might lead to quality limitations in the results.
68 |
69 | The output of this process might not meet high expectations, but the use of the face restorer and upscaler can help improve these results to some extent.
70 |
71 | The quality of results is inherently tied to the capabilities of the model and cannot be enhanced beyond its design. FaceSwapLab merely provides an interface for the underlying model. Therefore, unless the model from insighface is retrained and necessary alterations are made in the library (see below), the resulting quality may not meet high expectations.
72 |
73 | Consider this extension as a low-cost alternative to more sophisticated tools like Lora, or as an addition to such tools. It's important to **maintain realistic expectations of the results** provided by this extension.
74 |
75 | #### Why is a face not detected?
76 |
77 | Face detection might be influenced by various factors and settings, particularly the det_size and det_thresh parameters. Here's how these could affect detection:
78 |
79 | + Detection Size (det_size): If the detection size is set too small, it may not capture large faces adequately. A value of 320 has been found to be more effective for detecting large faces, though it might result in a loss of some quality.
80 |
81 | + Detection Threshold (det_thresh): If the threshold is set too high, it can make the detection more conservative, capturing only the most prominent faces. A lower threshold might detect more faces but could also result in more false positives.
82 |
83 | If a face is not being detected, adjusting these parameters might solve the issue. Try increasing the det_size if large faces are the problem, or experiment with different det_thresh values to find the balance that works best for your specific case.
84 |
85 |
86 | #### Issue: Incorrect Gender Detection
87 |
88 | The gender detection functionality is handled by the underlying analysis model. As such, there might be instances where the detected gender may not be accurate. This is a limitation of the model and we currently do not have a way to improve this accuracy from our end.
89 |
90 | #### Why isn't GPU support included?
91 |
92 | GPU is supported via an option see [documentation](../doc/). This is expermental, use it carefully.
93 |
94 | #### What is the 'Upscaled Inswapper' Option in SD FaceSwapLab?
95 |
96 | The 'Upscaled Inswapper' is an option in SD FaceSwapLab which allows for upscaling of each face using an upscaller prior to its integration into the image. This is achieved by modifying a small segment of the InsightFace code.
97 |
98 | The purpose of this feature is to enhance the quality of the face in the final image. While this process might slightly increase the processing time, it can deliver improved results. In certain cases, this could even eliminate the need for additional tools such as Codeformer or GFPGAN in postprocessing.
99 |
100 | #### What is Face Blending?
101 |
102 | Insighface works by creating an embedding for each face. An embedding is essentially a condensed representation of the facial characteristics.
103 |
104 | The face blending process allows for the averaging of multiple face embeddings to generate a blended or composite face.
105 |
106 | The benefits of face blending include:
107 |
108 | + Generation of a high-quality embedding based on multiple faces, thereby improving the face's representative accuracy.
109 | + Creation of a composite face that includes features from multiple individuals, which can be useful for diverse face recognition scenarios.
110 |
111 | To create a composite face, two methods are available:
112 |
113 | 1. Use the Checkpoint Builder: This tool allows you to save a set of face embeddings that can be loaded later to create a blended face.
114 | 2. Use Image Batch Sources: By dropping several images into this tool, you can generate a blended face based on the faces in the provided images.
115 |
116 | #### What is a face checkpoint?
117 |
118 | A face checkpoint is a saved embedding of a face, generated from multiple images. This is accomplished via the build tool located in the `sd` tab. The build tool blends all images dropped into the tab and saves the resulting embedding to a file.
119 |
120 | The primary advantage of face checkpoints is their size. An embedding is only around 2KB, meaning it's lightweight and can be reused later without requiring additional calculations.
121 |
122 | Face checkpoints are saved as `.safetensors` files.
123 |
124 | #### How is similarity determined?
125 |
126 | The similarity between faces is established by comparing their embeddings. In this context, a score of 1 signifies that the two faces are identical, while a score of 0 indicates that the faces are different.
127 |
128 | You can remove images from the results if the generated image does not match the reference. This is done by adjusting the sliders in the "Faces" tab.
129 |
130 | #### Which model is used?
131 |
132 | The model employed here is based on InsightFace's "InSwapper". For more specific information, you can refer [here](https://github.com/deepinsight/insightface/blob/fc622003d5410a64c96024563d7a093b2a55487c/python-package/insightface/model_zoo/inswapper.py#L12).
133 |
134 | This model was temporarily made public by the InsightFace team for research purposes. They have not provided any details about the training methodology.
135 |
136 | The model generates faces with a resolution of 128x128, which is relatively low. For better results, the generated faces need to be upscaled. The InsightFace code is not designed for higher resolutions (see the [Router](https://github.com/deepinsight/insightface/blob/fc622003d5410a64c96024563d7a093b2a55487c/python-package/insightface/model_zoo/model_zoo.py#L35) class for more information).
137 |
138 | #### Why not use SimSwap?
139 |
140 | SimSwap models are based on older InsightFace architectures, and SimSwap has not been released as a Python package. Its incorporation would complicate the process, and it does not guarantee any substantial gain.
141 |
142 | If you manage to implement SimSwap successfully, feel free to submit a pull request.
143 |
144 |
145 | #### Shasum of inswapper model
146 |
147 | Check that your model is correct and not corrupted :
148 |
149 | ```shell
150 | $>sha1sum inswapper_128.onnx
151 | 17a64851eaefd55ea597ee41e5c18409754244c5 inswapper_128.onnx
152 |
153 | $>sha256sum inswapper_128.onnx
154 | e4a3f08c753cb72d04e10aa0f7dbe3deebbf39567d4ead6dce08e98aa49e16af inswapper_128.onnx
155 |
156 | $>sha512sum inswapper_128.onnx
157 | 4311f4ccd9da58ec544e912b32ac0cba95f5ab4b1a06ac367efd3e157396efbae1097f624f10e77dd811fbba0917fa7c96e73de44563aa6099e5f46830965069 inswapper_128.onnx
158 | ```
159 |
160 | #### Gradio errors (issubclass() arg 1 must be a class)
161 |
162 | Older versions of gradio don't work well with the extension. See this bug report : https://github.com/glucauze/sd-webui-faceswaplab/issues/5
163 |
164 | It has been tested on 3.32.0
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/docs/features.markdown:
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1 | ---
2 | layout: page
3 | title: Features
4 | permalink: /features/
5 | ---
6 |
7 | + **Face Unit Concept**: Similar to controlNet, the program introduces the concept of a face unit. You can configure up to 10 units (3 units are the default setting) in the program settings (sd).
8 |
9 | 
10 |
11 | + **Vladmantic and a1111 Support**
12 |
13 | + **Batch Processing**
14 |
15 | + **Inpainting**: supports "only masked" and mask inpainting.
16 |
17 | + **Performance Improvements**: The overall performance of the software has been enhanced.
18 |
19 | + **FaceSwapLab Tab** providing various tools.
20 |
21 | 
22 |
23 | + **FaceSwapLab Settings**: FaceSwapLab settings are now part of the sd settings. To access them, navigate to the sd settings section.
24 |
25 | 
26 |
27 | + **Face Reuse Via Checkpoints**: The FaceTools tab now allows creating checkpoints, which facilitate face reuse. When a checkpoint is used, it takes precedence over the reference image, and the reference source image is discarded.
28 |
29 | 
30 | 
31 |
32 | + **Gender Detection**: The program can now detect gender based on faces.
33 |
34 | 
35 |
36 | + **Face Combination (Blending)**: Multiple versions of a face can be combined to enhance the swapping result. This blending happens during checkpoint creation.
37 |
38 | 
39 | 
40 |
41 | + **Preserve Original Images**: You can opt to keep original images before the swapping process.
42 |
43 | 
44 |
45 | + **Multiple Face Versions for Replacement**: The program allows the use of multiple versions of the same face for replacement.
46 |
47 | 
48 |
49 | + **Face Similarity and Filtering**: You can compare faces against the reference and/or source images.
50 |
51 | 
52 |
53 | + **Face Comparison**: face comparison feature.
54 |
55 | 
56 |
57 | + **Face Extraction**: face extraction with or without upscaling.
58 |
59 | 
60 |
61 | + **Improved Post-Processing**: codeformer, gfpgan, upscaling.
62 |
63 | 
64 |
65 | + **Post Inpainting**: This feature allows the application of image-to-image inpainting specifically to faces.
66 |
67 | 
68 | 
69 |
70 | + **Upscaled Inswapper**: The program now includes an upscaled inswapper option, which improves results by incorporating upsampling, sharpness adjustment, and color correction before face is merged to the original image.
71 |
72 | 
73 |
74 |
75 | + **API with typing support** :
76 |
77 | ```python
78 | import base64
79 | import io
80 | import requests
81 | from PIL import Image
82 | from client_utils import FaceSwapRequest, FaceSwapUnit, PostProcessingOptions, FaceSwapResponse, pil_to_base64
83 |
84 | address = 'http:/127.0.0.1:7860'
85 |
86 | # First face unit :
87 | unit1 = FaceSwapUnit(
88 | source_img=pil_to_base64("../../references/man.png"), # The face you want to use
89 | faces_index=(0,) # Replace first face
90 | )
91 |
92 | # Second face unit :
93 | unit2 = FaceSwapUnit(
94 | source_img=pil_to_base64("../../references/woman.png"), # The face you want to use
95 | same_gender=True,
96 | faces_index=(0,) # Replace first woman since same gender is on
97 | )
98 |
99 | # Post-processing config :
100 | pp = PostProcessingOptions(
101 | face_restorer_name="CodeFormer",
102 | codeformer_weight=0.5,
103 | restorer_visibility= 1)
104 |
105 | # Prepare the request
106 | request = FaceSwapRequest (
107 | image = pil_to_base64("test_image.png"),
108 | units= [unit1, unit2],
109 | postprocessing=pp
110 | )
111 |
112 |
113 | result = requests.post(url=f'{address}/faceswaplab/swap_face', data=request.json(), headers={"Content-Type": "application/json; charset=utf-8"})
114 | response = FaceSwapResponse.parse_obj(result.json())
115 |
116 | for img, info in zip(response.pil_images, response.infos):
117 | img.show(title = info)
118 |
119 |
120 | ```
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/docs/index.markdown:
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1 | ---
2 | # Feel free to add content and custom Front Matter to this file.
3 | # To modify the layout, see https://jekyllrb.com/docs/themes/#overriding-theme-defaults
4 |
5 | layout: home
6 | ---
7 |
8 | FaceSwapLab is an extension for Stable Diffusion that simplifies the use of [insighface models](https://insightface.ai/) for face-swapping. It has evolved from sd-webui-faceswap and some part of sd-webui-roop. However, a substantial amount of the code has been rewritten to improve performance and to better manage masks.
9 |
10 | Some key [features](features) include the ability to reuse faces via checkpoints, multiple face units, batch process images, sort faces based on size or gender, and support for vladmantic. It also provides a face inpainting feature.
11 |
12 | 
13 |
14 | Link to github repo : [https://github.com/glucauze/sd-webui-faceswaplab](https://github.com/glucauze/sd-webui-faceswaplab)
15 |
16 | While FaceSwapLab is still under development, it has reached a good level of stability. This makes it a reliable tool for those who are interested in face-swapping within the Stable Diffusion environment. As with all projects of this type, it's expected to improve and evolve over time.
17 |
18 |
19 | ## Disclaimer and license
20 |
21 | In short:
22 |
23 | + **Ethical Guideline:** This extension is **not intended to facilitate the creation of not safe for work (NSFW) or non-consensual deepfake content**. Its purpose is to bring consistency to image creation, making it easier to repair existing images, or bring characters back to life.
24 | + **License:** This software is distributed under the terms of the GNU Affero General Public License (AGPL), version 3 or later.
25 | + **Model License:** This software uses InsightFace's pre-trained models, which are available for non-commercial research purposes only.
26 |
27 | ### Ethical Guideline
28 |
29 | This extension is **not intended to facilitate the creation of not safe for work (NSFW) or non-consensual deepfake content**. Its purpose is to bring consistency to image creation, making it easier to repair existing images, or bring characters back to life.
30 |
31 | We will comply with European regulations regarding this type of software. As required by law, the code may include both visible and invisible watermarks. If your local laws prohibit the use of this extension, you should not use it.
32 |
33 | From an ethical perspective, the main goal of this extension is to generate consistent images by swapping faces. It's important to note that we've done our best to integrate censorship features. However, when users can access the source code, they might bypass these censorship measures. That's why we urge users to use this extension responsibly and avoid any malicious use. We emphasize the importance of respecting people's privacy and consent when swapping faces in images. We discourage any activities that could harm others, invade their privacy, or negatively affect their well-being.
34 |
35 | Additionally, we believe it's important to make the public aware of these tools and the ease with which deepfakes can be created. As technology improves, we need to be more critical and skeptical when we encounter media content. By promoting media literacy, we can reduce the negative impact of misusing these tools and encourage responsible use in the digital world.
36 |
37 | ### Software License
38 |
39 | This software is distributed under the terms of the GNU Affero General Public License (AGPL), version 3 or later. It is provided "AS IS", without any express or implied warranties, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. In no event shall the author be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. Users are encouraged to review the license in full and to use the software in accordance with its terms.
40 |
41 | If any user violates their country's legal and ethical rules, we don't accept any liability for this code repository.
42 |
43 | ### Models License
44 |
45 | This software utilizes the pre-trained models `buffalo_l` and `inswapper_128.onnx`, which are provided by InsightFace. These models are included under the following conditions:
46 |
47 | _InsightFace's pre-trained models are available for non-commercial research purposes only. This includes both auto-downloading models and manually downloaded models._ from [insighface licence](https://github.com/deepinsight/insightface/tree/master/python-package)
48 |
49 | Users of this software must strictly adhere to these conditions of use. The developers and maintainers of this software are not responsible for any misuse of InsightFace's pre-trained models.
50 |
51 | Please note that if you intend to use this software for any commercial purposes, you will need to train your own models or find models that can be used commercially.
52 |
53 | ## Acknowledgments
54 |
55 | This project contains code adapted from the following sources:
56 | + codeformer : https://github.com/sczhou/CodeFormer
57 | + PSFRGAN : https://github.com/chaofengc/PSFRGAN
58 | + insightface : https://insightface.ai/
59 | + ifnude : https://github.com/s0md3v/ifnude
60 | + sd-webui-roop : https://github.com/s0md3v/sd-webui-roop
61 |
62 | ## Alternatives
63 |
64 | + https://github.com/idinkov/sd-deepface-1111
65 | + https://github.com/s0md3v/sd-webui-roop
66 |
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/docs/install.markdown:
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1 | ---
2 | layout: page
3 | title: Install
4 | permalink: /install/
5 | ---
6 |
7 | ## Requirements/Recommanded configuration
8 |
9 | The extension runs mainly on the CPU to avoid the use of VRAM. However, it is recommended to follow the specifications recommended by sd/a1111 with regard to prerequisites. At the time of writing, a version of python lower than 11 is preferable (even if it works with python 3.11, model loading and performance may fall short of expectations).
10 |
11 | Older versions of gradio don’t work well with the extension. See this bug report : https://github.com/glucauze/sd-webui-faceswaplab/issues/5. It has been tested on 3.32.0
12 |
13 | ### Windows-User : Visual Studio ! Don't neglect this !
14 |
15 | Before beginning the installation process, if you are using Windows, you need to install this requirement:
16 |
17 | 1. Install Visual Studio 2022: This step is required to build some of the dependencies. You can use the Community version of Visual Studio 2022, which can be downloaded from the following link: https://visualstudio.microsoft.com/downloads/
18 |
19 | 2. OR Install only the VS C++ Build Tools: If you don't need the full Visual Studio suite, you can choose to install only the VS C++ Build Tools. During the installation process, select the option for "Desktop Development with C++" found under the "Workloads -> Desktop & Mobile" section. The VS C++ Build Tools can be downloaded from this link: https://visualstudio.microsoft.com/visual-cpp-build-tools/
20 |
21 | 3. OR if you don't want to install either the full Visual Studio suite or the VS C++ Build Tools: Follow the instructions provided in section VIII of the documentation.
22 |
23 | ## SD.Next / Vladmantic
24 |
25 | SD.Next loading optimizations in relation to extension installation scripts can sometimes cause problems. This is particularly the case if you copy the script without installing it via the interface.
26 |
27 | If you get an error after startup, try restarting the server.
28 |
29 | ## Manual Install
30 |
31 | To install the extension, follow the steps below:
32 |
33 | 1. Open the `web-ui` application and navigate to the "Extensions" tab.
34 | 2. Use the URL `https://github.com/glucauze/sd-webui-faceswaplab` in the "install from URL" section.
35 | 3. Close the `web-ui` application and reopen it.
36 |
37 | 
38 |
39 |
40 | **You may need to restart sd once the installation process is complete.**
41 |
42 | On first launch, templates are downloaded, which may take some time. All models are located in the `models/faceswaplab` folder.
43 |
44 | If you encounter the error `'NoneType' object has no attribute 'get'`, take the following steps:
45 |
46 | 1. Download the [inswapper_128.onnx](https://huggingface.co/henryruhs/faceswaplab/resolve/main/inswapper_128.onnx) model.
47 | 2. Place the downloaded model inside the `