DynaPictures
Generate Hundreds of Personalized Images in Minutes. DynaPictures is a cloud-based solution for dynamic image generation. Connect your preferred data source like Google Sheets to create personalized images and display your client names, coupons, or virtually anything else.
Integrate the DynaPictures API with the Python API
Setup the DynaPictures API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DynaPictures and Python remarkably fast. Free for developers.
Popular DynaPictures and Python Triggers#
Emit new event when an image has been generated. See the documentation
Popular DynaPictures and Python Actions#
Generates a new image by using a given image as a template. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of DynaPictures#
DynaPictures API allows users to automate image generation with dynamic content. It's useful for creating personalized images for marketing campaigns, social media, or e-commerce products. In Pipedream, you can harness DynaPictures API to build serverless workflows that trigger based on various events, manipulate and generate images, and connect with other services for a seamless automation pipeline.
Connect DynaPictures#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dynapictures: {
type: "app",
app: "dynapictures",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dynapictures.com/templates`,
headers: {
Authorization: `Bearer ${this.dynapictures.$auth.api_key}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}