omniinfer-sdk
v1.0.6
Published
omniinfer api sdk
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Maintainers
Readme
Omniinfer Js SDK
this SDK is based on the official API documentation
join our discord server for help
Installation, via npm
npm i omniinfer-sdk
Quick Start
Get api key refer to https://docs.omniinfer.io/get-started
We offer two ways to use the sdk
1.Called as a function
import { txt2ImgSync, setOmniinferKey } from "omniinfer-sdk";
setOmniinferKey("your api key");
txt2ImgSync({
model_name: "",
prompt: "a girl",
})
.then((res) => {
console.log("imgs", res);
})
.catch((err) => {
console.log(err);
});
2.Use by way of class
import { OmniinferSDK } from "omniinfer-sdk";
const sdk = new OmniinferSDK("your api key");
sdk
.txt2ImgSync(params)
.then((res) => {
console.log("imgs", res);
})
.catch((err) => {
alert(err);
});
Examples SDK Online DEMO
function list
- setOmniinferKey
- getModels
- img2img
- txt2Img
- txt2ImgSync
- img2imgSync
- upscale
- upscaleSync
Usage in React
import * as React from 'react';
import { txt2ImgSync } from 'omniinfer-sdk';
import './style.css';
const { useState, useCallback } = React;
export default function App() {
const [imgs, setImgs] = useState<string[]>([]);
const [loading, setLoading] = useState(false);
const generateImg = useCallback(() => {
setLoading(true);
txt2ImgSync({
model_name: '',
prompt: 'a girl',
})
.then((res) => {
setImgs(res);
setLoading(false);
})
.catch((err) => {
console.log(err);
setLoading(false);
});
}, []);
return (
<div>
<h1>Text to image</h1>
<button onClick={generateImg} disabled={loading}>
{loading ? 'progressing' : 'click to generate image'}
</button>
<div
style={{
marginTop: '20px',
}}
>
{imgs.map((one) => (
<img
src={one}
crossOrigin="anonymous"
referrerPolicy="origin-when-cross-origin"
style={{
objectFit: 'cover',
}}
/>
))}
</div>
</div>
);
}
Model Search
When you use this model interface, keep an eye on dependency_status
and download_status
, which are only considered to be available if they are both 1
We recommend that you keep the interface data in memory, e.g. redux.
getModels().then((res) => {
console.log(res.models.slice(0, 100));
});
Lora Usage
txt2ImgSync({
model_name: "majicmixRealistic_v2.safetensors",
prompt:
"Best quality, masterpiece, ultra high res, (photorealistic:1.4), raw photo, 1girl, offshoulder, in the dark, deep shadow, low key, cold light",
negative_prompt:
"ng_deepnegative_v1_75t, badhandv4 (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))",
sampler_name: "DPM++ 2M Karras",
lora: [
{
sd_name: "film",
weight: 0.4,
},
],
}).then((res) => {
console.log(res);
});
ControlNet QRCode
txt2ImgSync({
prompt:
"a beautify butterfly in the colorful flowers, best quality, best details, masterpiece",
model_name: "",
steps: 30,
controlnet_units: [
{
input_image: imgbase64,
module: ControlNetPreprocessor.NULL,
control_mode: ControlNetMode.BALANCED,
model: "control_v1p_sd15_qrcode_monster_v2",
weight: 2.0,
},
],
}).then((res) => {
console.log(res);
});
Upscalse
.upscaleSync({
image: base64String,
resize_mode: 0,
upscaling_resize: 2,
})
.then((res) => {
if (res) {
setImg(res[0]);
}
setLoading(false);
})
.catch((err) => {
alert(err);
});