Low Cost, Ultra-Fast Stable Diffusion API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
runware: {
type: "app",
app: "runware",
}
},
async run({steps, $}) {
const data = [
{
"taskType": "authentication",
"apiKey": `${this.runware.$auth.api_key}`
},
{
"taskType": "imageCaption",
"taskUUID": "11eb6a8b-1fa9-447f-9dc0-c48576f7074e", //random UUID to identify your task.
"inputImage": "https://pipedream.com/s.v0/app_13GhYE/logo/orig"
}
]
return await axios($, {
method: "post",
url: `https://api.runware.ai/v1`,
data,
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}