Openjourney - Midjourney for free? (Install Guide and Examples)

The Hillbilly Hippy
11 Apr 202306:04

TLDRThe video provides a step-by-step guide on how to install OpenJourney for Stable Diffusion, a text-to-image AI model. It begins by directing viewers to download the V4 version of OpenJourney from and then guides them to paste the downloaded checkpoint file into the Stable Diffusion models folder. After installation, the video showcases the results of different prompts and sampling methods, comparing the output with Stable Diffusion 1.5 and 2.1 checkpoints. The narrator also includes negative prompts and prompts from the Prompt Hero website to demonstrate the versatility and quality of the generated images. The video concludes by encouraging viewers to share their thoughts on the tests and to like and subscribe for more content.


  • 🌐 Visit to find and download OpenJourney for Stable Diffusion.
  • πŸ“ Select the V4 version and download the checkpoint file.
  • βœ‚οΈ Copy the downloaded checkpoint file to your Stable Diffusion installation directory.
  • πŸ“‹ If you haven't installed Stable Diffusion, there's a link provided for that.
  • πŸ“ Paste the file into the 'models' then 'stable diffusion' folder within your Stable Diffusion installation.
  • πŸ”„ Refresh Stable Diffusion to integrate OpenJourney.
  • πŸ“‹ Select OpenJourney from the dropdown menu to use it.
  • πŸš€ OpenJourney is now installed and ready to use.
  • 🎨 Test the installation with different prompts and sampling methods for varied results.
  • πŸ–ŒοΈ Experiment with and without negative prompts to see the impact on image generation.
  • πŸ” Compare the output quality between OpenJourney and Stable Diffusion 1.5.
  • πŸ“ Try different checkpoints (like 2.1) for varying levels of detail and realism in the generated images.
  • 🌟 Utilize prompts designed specifically for OpenJourney from resources like Prompt Hero for optimal results.

Q & A

  • What is the first step to install OpenJourney for Stable Diffusion?

    -The first step is to go to and search for OpenJourney.

  • Which version of OpenJourney is recommended to download?

    -The V4 version is recommended to download.

  • What should you do after downloading the checkpoint file?

    -After downloading the checkpoint file, you should go to the folder where it was downloaded, cut it with Ctrl + X, and then paste it in the Stable Diffusion models directory.

  • How do you paste the file into the Stable Diffusion models directory?

    -You can paste the file by pressing Ctrl + V.

  • What should you do if you need to install Stable Diffusion?

    -If you need to install Stable Diffusion, there will be a link provided on the same page where you downloaded OpenJourney.

  • How do you select OpenJourney in Stable Diffusion after installation?

    -After installation, go to Stable Diffusion, hit the refresh button, click on the dropdown, and select OpenJourney.

  • What is a prompt and how is it used in the context of Stable Diffusion?

    -A prompt is a text input that guides the Stable Diffusion model to generate specific types of images. It is used by typing it into the input field to instruct the model on what kind of image to create.

  • Why might someone choose not to use a negative prompt for their first tests?

    -Not using a negative prompt for the first tests allows the user to see the default behavior and capabilities of the model without any specific restrictions or exclusions.

  • What is Euler sampling method and how does it affect the generated image?

    -Euler is a sampling method used in the Stable Diffusion process that can influence the quality and characteristics of the generated image. In the script, it was used to generate a face that looked pretty good but had issues with the hands.

  • How does Stable Diffusion 1.5 compare to OpenJourney in terms of detail?

    -According to the script, Stable Diffusion 1.5 has more detail in the face compared to OpenJourney, particularly from the neck up.

  • What is a negative prompt and how is it used?

    -A negative prompt is a type of prompt that specifies elements or characteristics to be excluded from the generated image. It is used to refine the output by instructing the model on what not to include.

  • How can one find additional prompts for OpenJourney?

    -Additional prompts for OpenJourney can be found on the prompt hero website, as mentioned in the script. The specific prompt and links are included in the video description.



πŸ“₯ Installing Open Journey for Stable Diffusion

The first paragraph provides a step-by-step guide to installing the Open Journey model for Stable Diffusion. It starts with visiting to search for Open Journey and downloading the V4 checkpoint file. After downloading, the user is instructed to paste the file into the Stable Diffusion models directory using a keyboard shortcut. If Stable Diffusion isn't installed yet, a link is provided for that installation process. The guide then explains how to refresh Stable Diffusion to select Open Journey as the model. The paragraph also includes the user's experience with different prompts and sampling methods, noting the results and making comparisons with Stable Diffusion 1.5 and 2.1 versions. Negative prompts are also discussed, and the user shares their prompts used in the tests.


🎨 Testing Different Prompts with Open Journey

The second paragraph describes further testing of the Open Journey model using various prompts sourced from the prompt hero website. The user shares their satisfaction with the results, highlighting the quality of the images produced. The paragraph ends with an invitation for viewers to share their opinions on the tests conducted and a call to action for viewers to like, subscribe, and follow for more content.




OpenJourney is a term that refers to a specific version or iteration of a machine learning model used in the context of image generation. In the video, it is a model that is being installed and tested for its ability to generate images from textual prompts. It is central to the video's theme as the main subject of the tutorial and demonstration.

πŸ’‘Stable Diffusion

Stable Diffusion is a type of diffusion model used for generating images from textual descriptions. It is mentioned in the video as the platform where OpenJourney is installed. The video provides a guide on how to integrate OpenJourney with Stable Diffusion, which is crucial for the viewers interested in setting up their own image generation environment.


In the context of machine learning, a checkpoint refers to a saved state of the model at a particular point in time during training. The video script mentions downloading a checkpoint file for OpenJourney, which is then used to integrate the model with Stable Diffusion. Checkpoints are important as they allow users to continue training or to use the model from a specific progress point.


Prompts are the textual descriptions or inputs that are given to the image generation model to produce specific images. The video discusses using different prompts with OpenJourney to generate various images, showcasing the model's capabilities. Prompts are a key element in the video as they directly influence the output of the image generation process.

πŸ’‘Negative Prompt

A negative prompt is a type of prompt that specifies what should be avoided or excluded in the generated image. In the video, the creator experiments with including a negative prompt to improve the quality of the generated images by excluding unwanted elements, such as hands in one of the examples.

πŸ’‘Sampling Method

The sampling method refers to the algorithmic technique used by the model to select the next step in the image generation process. Euler is mentioned as a sampling method in the video, which is used to generate images that look 'pretty good' but have some issues with the hands, indicating the impact of the sampling method on the final output.

πŸ’‘Version 1.5

Version 1.5 is a specific iteration of Stable Diffusion that is mentioned in the video. It is compared with OpenJourney to demonstrate differences in the level of detail and image quality. The version number is significant as it represents a milestone in the development of the model and is used to compare its performance with other versions.

πŸ’‘Version 2.1

Version 2.1 is another iteration of Stable Diffusion that is tested in the video. It is noted for producing a very realistic face in the generated image. The version number signifies an advancement over previous versions and is used to illustrate the improvements in image generation capabilities.

πŸ’‘Prompt Hero

Prompt Hero is a website or platform that provides prompts for image generation models. In the video, the creator uses a prompt designed for OpenJourney from Prompt Hero to generate images, demonstrating the utility of such resources in enhancing the creative process and the final output.

πŸ’‘Refresh Button

The refresh button, as mentioned in the video, is a user interface element in Stable Diffusion that allows users to refresh the model or interface to load new settings or models. It is a crucial step in the installation process of OpenJourney, ensuring that the new model is recognized and ready for use.

πŸ’‘Installation Guide

An installation guide is a set of instructions that help users set up a particular software or, in this case, a machine learning model. The video provides a step-by-step installation guide for OpenJourney on Stable Diffusion, which is essential for viewers who are new to image generation models and need guidance on how to get started.


Installing OpenJourney for Stable Diffusion is a straightforward process.

Begin by visiting and searching for OpenJourney.

Select the V4 version and download the checkpoint file.

Cut and paste the downloaded file into the Stable Diffusion directory.

Stable Diffusion installation instructions are provided if needed.

Use the shortcut Ctrl+V to paste the file into the Stable Diffusion models folder.

After installation, refresh Stable Diffusion to select OpenJourney from the dropdown.

The video includes a demonstration of using different prompts with OpenJourney.

Negative prompts are not used in the initial tests for better results.

Different sampling methods, such as Euler, are explored for image generation.

A comparison is made between OpenJourney and Stable Diffusion 1.5, highlighting the differences in detail.

The face generated by Stable Diffusion 1.5 is noted to have more detail than OpenJourney.

Experiments with various prompts and checkpoints are conducted to showcase the flexibility of OpenJourney.

A prompt designed specifically for OpenJourney from the Prompt Hero website is tested.

The video provides a link to the Prompt Hero website in the description for further exploration.

The final images generated by OpenJourney are evaluated for quality and realism.

The viewer is encouraged to form their own opinion on the image tests presented.

The video concludes with a call to action for viewers to like, subscribe, and follow for more content.