with DeployHQ and fal.ai?
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
DeployHQ is a service that automates the deployment of your web applications. By integrating with version control systems, DeployHQ can automatically deploy code changes to various environments. Using the DeployHQ API on Pipedream, you can orchestrate deployments, manage your projects, and synchronize deployment activities with other tools in your toolchain. It opens up possibilities for custom deployment workflows, notifications, monitoring, and more, all connected within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deployhq: {
type: "app",
app: "deployhq",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.deployhq.$auth.account_name}.deployhq.com/projects`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.deployhq.$auth.email}`,
password: `${this.deployhq.$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;
},
})