Image AI, Stable Diffusion

No 1 Practical Guide to Stability AI DreamStudio API for Image generation

This is a guide on how to use DreamStudio API for Stable Diffusion Image generation AI in Python.

Stability AI finally released its Image generation AI, Stable Diffusion in Open Source. Along with the code, they also launched a new consumer-facing product called DreamStudio

DreamStudio is an OpenAI Dall-e like Image generation tool that you can use in a browser. They also released an API for the Dream Studio that can be used by developers in their scripts and applications via code.

This guide is oriented towards people who are programmers and coders. If you are looking for a way to use Stable Diffusion as an end user,  check out guides for windows, Macs, Machines without GPU, etc

Get a Stable Diffusion DreamStudio API Key

First, you need your own API key for the Stable Diffusion DreamStudio. Here’s how to get your own Stable Diffusion API key.

  1. Create an account on or log in to DreamStudio
  2. From your profile Icon on the top right corner, go to your membership area
  3. Click on API Key and copy your API key

Keep this safe and don’t share anyone as whosoever has access to this key can use it to exhaust your generation quota.

Using Stable Diffusion DreamStudio API in a Python Script

If you prefer calling the API in a Python script on your local machine or on a cloud VM server, here are the steps:

Note: Code credit to the Official Stability AI SDK Colab Notebook

Make sure you have Python 3 or above installed on your machine and you can run it from the command line.

python -v

Install Stable Diffusion Python SDK/module

pip install stability-sdk

Install libmagic1 

On Ubuntu

apt-get install libmagic1

On Windows

pip install python-libmagic

Create a new python file on your favorite IDE and paste the below code in the file

Change the prompt in the above code to get a different result. Also, make sure to add the API at the appropriate place.

import io
import os
import warnings
from PIL import Image
from stability_sdk import client
import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation
stability_api = client.StabilityInference(
answers = stability_api.generate(
    prompt="houston, we are a 'go' for launch!"
for resp in answers:
    for artifact in resp.artifacts:
        if artifact.finish_reason == generation.FILTER:
                "Your request activated the API's safety filters and could not be processed."
                "Please modify the prompt and try again.")
        if artifact.type == generation.ARTIFACT_IMAGE:
            img =

Run the file by passing it to the python interpreter

python <filename>

Image-to Image generation using DreamStudio API

Above we saw how to generate text-to-image using DreamStudio API.

Now we will see how to use the image-to-image feature.

You don’t need to do the setup again and can use what is explained above.

You need to pass an additional parameter to the API generate function


here img is the variable that contains the image you want to feed to the API


Using Stable Diffusion DreamStudio API in Jupyter Notebook

  1. Open this official Google Colab Notebook.
  2. In the Google Colab Notebook, you just opened, select Runtime from the top menu bar, and click on Run all
  3. You will be asked to enter your API key for DreamStudio. Enter the API key you copied in the above section and press enter
  4. Once it is finished it would have your API key for Dream Studio to generate an image using Stable Diffusion AI.
  5. In order to get a different image, change the prompt in the last cell and click on the run button on the left side of the cell.


In this article, we saw how to use Stability AI’S DreamStudio API to generate images. We saw how to do this using Python on a local machine as well as in Google Colab Notebook.

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