with fal.ai and n8n.io?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. 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
Gets the status of a request in the queue. This allows you to monitor the progress of your asynchronous tasks. See the documentation
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;
},
})
The n8n.io API provides a platform for automating workflows in a node-based structure that allows for integrations across various services and apps. Leveraging this API within Pipedream enables you to orchestrate complex operations, connect disparate systems, and trigger actions conditionally, transforming and passing data between services without writing extensive code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
n8n_io: {
type: "app",
app: "n8n_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.n8n_io.$auth.domain}.app.n8n.cloud/api/v1/workflows`,
headers: {
"Accept": `application/json`,
"X-N8N-API-KEY": `${this.n8n_io.$auth.api_key}`,
},
})
},
})