Integrate the DreamStudio (Stable Diffusion) API with the Python API

Setup the DreamStudio (Stable Diffusion) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DreamStudio (Stable Diffusion) and Python remarkably fast. Free for developers.

Popular DreamStudio (Stable Diffusion) and Python Actions#

Generate Image with the DreamStudio (Stable Diffusion) API

Generate a new image from a text prompt. 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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Modify Image with the DreamStudio (Stable Diffusion) API

Modify an image based on a text prompt. See the documentation

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Upscale Image with the DreamStudio (Stable Diffusion) API

Create a higher resolution version of an input image. See the documentation

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Overview of DreamStudio (Stable Diffusion)#

The DreamStudio (Stable Diffusion) API taps into the power of AI to generate creative visual content from textual descriptions. With Pipedream, you can automate the process of creating images, integrate with various apps, and build complex workflows without servers. You can trigger image generation on demand, process user inputs, or schedule image creation - All seamlessly within Pipedream's ecosystem.

Connect DreamStudio (Stable Diffusion)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dreamstudio: {
      type: "app",
      app: "dreamstudio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.stability.ai/v1/user/account`,
      headers: {
        Authorization: `Bearer ${this.dreamstudio.$auth.api_key}`,
      },
      params: {
        Accept: `application/json`,
      },
    })
  },
})

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}}