Low Cost, Ultra-Fast Stable Diffusion API
Request an image background removal task to be processed by the Runware API. See the documentation.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Request an image caption task to be processed by the Runware API. See the documentation.
Request an image control net preprocess task to be processed by the Runware API. See the documentation.
Request an image inference task to be processed by the Runware API. See the documentation.
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}}