No Midjourney API? No Problem


  • Midjourney's superior image generation attracts users, but an API is missing.
  • Argil offers Stable Diffusion models catching up with Midjourney quality.
  • Argil's multimodal generation enables image and text creation with AI.
  • Train the AI on your own datasets for personalized models.
  • Automated workflows on Argil streamline processes, boosting efficiency.
  • Argil API integrates into existing applications, providing a seamless solution.
  • Unique features include automatic prompting, background removal, and more.

The principal reason why product builders, solopreneurs, and existing applications are currently trying to find a way to integrate Midjourney API into their process is that Midjourney got a more advanced model for image generation:

  • The quality is the best
  • The level of detail is the best
  • Consistency in the prompting is the best

But is that enough when you have competitors coming your way and that you are as a company not thinking our the product you’re building but just about the technology it represents?

We firmly believe at Argil that the release of a Midjourney API would be tremendously helpful but it’s not yet happening…

Fortunately for us, Stable Diffusion image generation models are catching up at a rapid speed with Midjourney. Some people even mentioned that Midjourney might be slowing down in the improvement of their model but I personally don’t think so.

The model is becoming more complete and provides an unmatched level of detail, but that marginal difference can’t be perceived by everyone.

You need to be an expert in your Image industry to see the difference. Midjourney has already reached the point where improvement of the model won’t be perceived by everyone and won’t be necessary for all use cases.

That’s what we’re currently surfing on at Argil, and here’s how we’re providing you with a substitute for Midjourney API:

Argil: Midjourney API substitute

As said earlier, Stable Diffusion models are coming after Midjourney quality, as they had some delay in the performance of the model to generate Images the marginal difference between one version of the model and the newest version leads to high improvement.

At Argil, we’re building the first platform to enable multiple use cases of AI automation based on multimodal generation:

  • Generate Images out of text
  • Generate Text to text
  • Generate Images and text out of text

This is based on 3 pillars:

  • Training
  • Experimentation
  • Streamlining/distribution

On argil, you can train the AI on your own dataset:

  • Upload a picture of yourself
  • Caption a description for each (side view of myself, front view of myself, etc)
  • Launch the training process to build a personalized model

You can then on our Image generation studio choose your model and then choose a style from the different ones available to generate Images with yourself as the center of it in different settings.

This consistency is possible because of the way we have fine-tuned Stable Diffusion models. You can do that also for shoes, Clothes, styles, furniture, etc.

The limitations do not exist, you can leverage the technology for any use case you have in mind. On top of that, we have a workflow automation vision:

When using it in your work process you have 3 major limitations to the efficiency of the process:

  • The needed intervention in the prompting process
  • The needed intervention to jump from one platform to the other
  • The needed intervention to verify quality and iterate on what you have in mind

To solve that, you can create automated workflows on Argil that just needs input to generate what you want (we’ll get into more details in the next part).

What we’re building at Argil will provide you with a new way to automate your work and increase its quality. The last pillar on which our vision is based is the possibility to streamline any workflow built on Argil to your existing application.

By enabling this, you can see now Argil as a personalized feature builder you can outsource:

Argil API: The solution to the missing Midjourney API

While Midjourney API is not ready, Argil API is ready to be integrated into your applications. The reason why we deeply consider ourselves as the alternative is based on three fundamental components:

1/ The moment Midjourney API will be out, we’ll be the first to integrate it

2/ Any improvement in the current model of Stable Diffusion is instantly integrated

3/ The feature we provide far offsets the existing differences in quality between Midjourney image generation and Stable Diffusion Image generation

We’ll focus on point three here:

Here are some of the features you won’t find anywhere else:

1/ Training of models based on your data sets:

2/ Automatic prompting

Prompting is one of the most daunting processes in Midjourney, and we believe that one of the reasons Midjourney API is not yet available is the difficulty to make the prompting experience easier.

On Argil you can activate the ‘re-prompt with gpt’ feature which optimizes your inquiry in terms the model understands.

3/ You can remove the background

Let’s say you generated an Image that’s perfect but you don’t like the background. You can use our feature to isolate the main component and then use the following feature:

4/  Use a reference image

Input any Image as a reference and write what you want to generate. Doing this will allow you to play around with generated and original images.

5/ Create a template

On Argil you can build up templates of your favorite image generated on a specific theme. We called this feature a template, it’s gathering the best image generated under the same mere folder.

Doing this enables you to then choose it when generating pictures and therefore improving the quality of your picture, doing specific associations and not needing to prompt in a specific way.

If you’re not using Argil, Midjourney API release won’t change a thing for you. These features are exclusive to our platform, and you can already streamline them to your application using our API.

No need to wait for Midjourney API, nor try to use open-source models and optimize them to your use case by yourself. We did it for you and you can start experimenting now.

If you have any specific inquiries or looking for a specific feature DO NOT HESITATE to contact us.

We’re here to build proactively, we help people looking for a Midjourney API and we’ll help you even more if you give us feedback and let us hear your voice.

Othmane Khadri