with Remove.bg and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
Remove.bg is a powerful API for automatic image background removal, allowing developers to seamlessly strip backgrounds from images and photos. Integrating Remove.bg in Pipedream workflows enables the creation of automated processes for graphic design, e-commerce product listings, profile picture moderation, and more. The API uses sophisticated AI algorithms to detect and separate foreground elements from their backgrounds, offering a clean and precise cutout that can be used across various applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
remove_bg: {
type: "app",
app: "remove_bg",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.remove.bg/v1.0/account`,
headers: {
"X-API-Key": `${this.remove_bg.$auth.api_key}`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})