InvokeAI/frontend/src/app/features.ts
2022-11-27 03:35:49 +13:00

69 lines
3.8 KiB
TypeScript

type FeatureHelpInfo = {
text: string;
href: string;
guideImage: string;
};
export enum Feature {
PROMPT,
GALLERY,
OTHER,
SEED,
VARIATIONS,
UPSCALE,
FACE_CORRECTION,
IMAGE_TO_IMAGE,
OUTPAINTING,
}
/** For each tooltip in the UI, the below feature definitions & props will pull relevant information into the tooltip.
*
* To-do: href & GuideImages are placeholders, and are not currently utilized, but will be updated (along with the tooltip UI) as feature and UI develop and we get a better idea on where things "forever homes" will be .
*/
export const FEATURES: Record<Feature, FeatureHelpInfo> = {
[Feature.PROMPT]: {
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.',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.GALLERY]: {
text: 'As new invocations are generated, files from the output directory will be displayed here. Generations have additional options to configure new generations.',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.OTHER]: {
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',
guideImage: 'asset/path.gif',
},
[Feature.SEED]: {
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. ',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.VARIATIONS]: {
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.',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.UPSCALE]: {
text: 'Using ESRGAN you can increase the output resolution without requiring a higher width/height in the initial generation.',
href: 'link/to/docs/feature1.html',
guideImage: 'asset/path.gif',
},
[Feature.FACE_CORRECTION]: {
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.',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.IMAGE_TO_IMAGE]: {
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 ',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
[Feature.OUTPAINTING]: {
text: 'Outpainting settings control the process used to cleanly manage seams between existing compositions and new invocations, using larger areas of the image for seam guidance, or applying various configurations on the generation process.',
href: 'link/to/docs/feature3.html',
guideImage: 'asset/path.gif',
},
};