mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
63 lines
3.4 KiB
TypeScript
63 lines
3.4 KiB
TypeScript
type FeatureHelpInfo = {
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text: string;
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href: string;
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guideImage: string;
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};
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export enum Feature {
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PROMPT,
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GALLERY,
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OTHER,
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SEED,
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VARIATIONS,
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UPSCALE,
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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 .
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*/
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export const FEATURES: Record<Feature, FeatureHelpInfo> = {
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[Feature.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.',
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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.GALLERY]: {
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text: 'As new invocations are generated, files from the output directory will be displayed here. Generations have additional options to configure new generations.',
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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.OTHER]: {
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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. ',
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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.SEED]: {
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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 - Interesting variations on the seed are found between 0.1 and 0.3.',
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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.UPSCALE]: {
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text: 'Using ESRGAN you can increase the output resolution without requiring a higher width/height in the initial generation.',
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href: 'link/to/docs/feature1.html',
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guideImage: 'asset/path.gif',
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},
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[Feature.FACE_CORRECTION]: {
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text: 'Using GFPGAN or Codeformer, Face Correction will attempt to identify faces in outputs, and correct any defects/abnormalities. Higher strength values will apply a stronger corrective pressure on outputs, resulting in more appealing faces. With Codeformer, a higher fidelity will attempt to preserve the original image, at the expense of face correction strength.',
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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.IMAGE_TO_IMAGE]: {
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text: 'ImageToImage allows the upload of an initial image, which InvokeAI will use to guide the generation process, along with a prompt. A lower value for this setting will more closely resemble the original image. Values between 0-1 are accepted, and a range of .25-.75 is recommended ',
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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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};
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