with FTrack and fal.ai?
Triggered when the status of an item is changed. See the documentation
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
The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ftrack: {
type: "app",
app: "ftrack",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
headers: {
"Content-Type": `application/json`,
"ftrack-user": `${this.ftrack.$auth.username}`,
"ftrack-api-key": `${this.ftrack.$auth.api_key}`,
},
data: []
})
},
})
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;
},
})