Integrate the Generated Photos API with the Python API

Setup the Generated Photos API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Generated Photos and Python remarkably fast. Free for developers.

Popular Generated Photos and Python Actions#

Generate Faces with the Generated Photos API

Generates faces using the Generated Photos API. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Generate Similar Faces by Image URL with the Generated Photos API

Generates faces similar to an image URL with the Generated Photos API. See the documentation

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Generate Similar Faces to Uploaded Image with the Generated Photos API

Generates faces similar to an uploaded image with the Generated Photos API. See the documentation

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Overview of Generated Photos#

The Generated Photos API offers a platform to create AI-generated human faces that are realistic and customizable. With this API, you can fine-tune the appearance of these faces based on age, emotion, ethnicity, and more. Integrating the Generated Photos API with Pipedream allows you to automate workflows that require unique human avatars, such as populating dummy user profiles for testing UI/UX design, generating characters for gaming environments, or creating diverse personas for marketing campaigns.

Connect Generated Photos#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    generated_photos: {
      type: "app",
      app: "generated_photos",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.generated.photos/api/v1/faces?per_page=1`,
      params: {
        api_key: `${this.generated_photos.$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}}