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Copy file name to clipboardExpand all lines: frontend/src/app/features.ts
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@@ -14,10 +14,13 @@ export enum Feature {
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FACE_CORRECTION,
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IMAGE_TO_IMAGE,
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}
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/** For each tooltip in the UI, the below feature definitions & props will pull relevant information into the tooltip.
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*
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* To-do: href & GuideImages are placeholders, and are not currently utilized, but will be updated (along with the tooltip UI) as feature and UI development and we get a better idea on where things "forever homes" will be .
text: 'This field will take all prompt text, including both content and stylistic terms. CLI Commands will not work in the prompt.',
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text: 'This field will take all prompt text, including both content and stylistic terms. While weights can be included in the prompt, standard CLI Commands/parameters will not work.',
text: 'These options will enable alternative processing modes for Invoke. Seamless tiling will work to generate repeating patterns in the output. High Resolution Optimization performs a two-step generation cycle, and should be used at higher resolutions when you desire a more coherent image/composition. ',href: 'link/to/docs/feature3.html',
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guideImage: 'asset/path.gif',
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},
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[Feature.SEED]: {
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text: 'Seed values provide an initial set of noise which guide the denoising process.',
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text: 'Seed values provide an initial set of noise which guide the denoising process, and can be randomized or populated with a seed from a previous invocation. The Threshold feature can be used to mitigate undesirable outcomes at higher CFG values (try between 0-10), and Perlin can be used to add Perlin noise into the denoising process - Both serve to add variation to your outputs. ',
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href: 'link/to/docs/feature3.html',
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guideImage: 'asset/path.gif',
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},
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[Feature.VARIATIONS]: {
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text: 'Try a variation with an amount of between 0 and 1 to change the output image for the set seed.',
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text: 'Try a variation with an amount of between 0 and 1 to change the output image for the set seed - Interesting variations on the seed are found between 0.1 and 0.3.',
text: 'Using GFPGAN or CodeFormer, Face Correction will attempt to identify faces in outputs, and correct any defects/abnormalities. Higher values will apply a stronger corrective pressure on outputs.',
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href: 'link/to/docs/feature2.html',
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text: 'Using GFPGAN, Face Correction will attempt to identify faces in outputs, and correct any defects/abnormalities. Higher values will apply a stronger corrective pressure on outputs, resulting in more appealing faces (with less respect for accuracy of the original subject).',
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