with Maestra and fal.ai?
Emit new event when a new file is added to a project in Maestra. See the documentation
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Translates an existing file in the Maestra system. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation
The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
maestra: {
type: "app",
app: "maestra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.maestra.$auth.base_url}/api/getCredits`,
headers: {
"apiKey": `${this.maestra.$auth.api_key}`,
},
})
},
})
import { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})