Midjourney is renowned for its ability to produce intricate and visually appealing images with relative ease. Users may not have to exert much effort to obtain satisfying results, as the AI often creates surprising and aesthetically pleasing images even when given incomplete prompts.<\/p>\n

In contrast, users of Stable Diffusion may need to invest more time and effort into crafting effective prompts and experimenting with different models to achieve similar levels of image quality.<\/p>\n

Overall, Midjourney appears to be the superior choice in this regard.<\/p>\n

Prompt<\/h3>\n

The two platforms, Stable Diffusion, and Midjourney, provide support for both prompt and negative prompts, allowing users to assign greater importance to certain keywords in their prompts. AUTOMATIC1111 offers additional prompt features such as blending two keywords. So, there is no clear winner between the two platforms.<\/p>\n

Models Varieties<\/h3>\n

There are various models available for use, including the open-source Stable Diffusion model, which has been modified into many different styles, resulting in over a thousand downloadable models. These models can also be further customized with LoRA models, embedding models, and hypernetworks. With so many models available, it maybe difficult to try them all.<\/p>\n

On the other hand, Midjourney\u2019s models are limited in comparison, they only offer v1 to v5 models, along with a few special models like niji, test, testp, and HD. Although there is an additional parameter for stylizing images, the overall number of offerings pales in comparison to Stable Diffusion.<\/p>\n

So the verdict is Stable Diffusion seems to be the better option with its wider range of models available for use.<\/p>\n

Image Editing<\/h3>\n

<\/p>\n

Manipulating images is made easy with Stable Diffusion, which provides a plethora of editing options. This includes generating specific parts of an image with inpainting, as well as expanding an image with outpainting. You can also use the instruct-pix2pix model to give instructions on how to modify an image.<\/p>\n

However, it\u2019s important to note that Midjourney doesn\u2019t support image editing.<\/p>\n

Thus, if you need to edit an image, Stable Diffusion is the better choice.<\/p>\n

Style<\/h3>\n

Regarding the style of images produced, Midjourney v4 defaults to a realistic illustration style, but it can also generate different styles with the right prompts.<\/p>\n

On the other hand, Stable Diffusion offers a wider range of styles that includes realistic photos and abstract art, thanks to its active community and ease of model training. It also allows users to experiment with embedding, loRAs, and hyper networks for unexpected effects. Based on these factors, the verdict is that Stable Diffusion is the better option.<\/p>\n

Variation from a Generation<\/h3>\n

Each proposal produces small divergences from the original image. To accomplish this, you click the V buttons located beneath the images in Midjourney or opt for the variational seed feature in AUTOMATIC1111. So it\u2019s a draw!<\/p>\n

Control Composition and Poses<\/h3>\n

There are various ways to control the composition and pose in Stable Diffusion, such as through image-to-image, depth-to-image, instruct-pix2pix, and controlNet methods. In Midjourney, the nearest option is to use an image prompt that functions similarly to a text prompt for image generation control. As a result, Stable Diffusion emerges as the preferred choice.<\/p>\n

Cost<\/h3>\n

To use Midjourney, it costs you at least $10 per month. While you can use Stable Diffusion with AUTOMATIC1111 for free on your own computer. Therefore, we recommend you to choose Stable Diffusion when price is an issue for you.<\/p>\n

License<\/h3>\n

It\u2019s important to note that ownership of images created through Midjourney\u2019s platform varies depending on your paid subscription level. If you are not a paid subscriber, you do not own the images and Midjourney has the right to use them without your consent. On the other hand, if you pay more, you have more ownership rights. It\u2019s advisable to review their terms of service carefully.<\/p>\n

In contrast, Stable Diffusion does not claim any rights to the images generated through its platform. Users are allowed to distribute and train the model, and even sell it. However, there may be additional restrictions for models fine-tuned by other users, so it\u2019s important to carefully review the license and terms of use when working with a new model.<\/p>\n

Overall, it appears that Stable Diffusion is the better choice in terms of ownership and flexibility.<\/p>\n

Content Filter<\/h3>\n

While the original Stable Diffusion v1 software includes a content filter, the community has shared a version with the filter disabled, making it easy to bypass. In contrast, the v2 models have NSFW content removed from the training images, so they cannot generate explicit content.<\/p>\n

Midjourney explicitly blocks the generation of explicit images at the prompt level, and users can face consequences, such as being banned if they attempt to do so.<\/p>\n

It appears that Stable Diffusion has more flexibility in terms of generating the content, although it\u2019s important to consider ethical and legal considerations when doing so.<\/p>\n

Making your Own Models<\/h3>\n

One of the most significant advantages of using Stable Diffusion is the ability to create your own models. If the images generated by the pre-existing models don\u2019t meet your needs, you can always train your own model using tools like dreambooth, textual inversion, LoRA, hypernetwork, or even by conducting additional rounds of training with your own images. However, this is not possible with Midjourney.<\/p>\n

It seems that Stable Diffusion comes out ahead in terms of customization and flexibility due to the ability to create your own models.<\/p>\n

Upscalers<\/h3>\n

Both Stable Diffusion and Midjourney offer upscalers, but AUTOMATIC1111, which is available on Stable Diffusion, offers more choices and parameters. Additionally, it\u2019s easy to install additional upscalers on the platform.<\/p>\n

Based on this, it seems that Stable Diffusion offers a better upscaling experience than Midjourney.<\/p>\n

Prompt<\/h3>\n

MidJourney allows users to use an image as a prompt in combination with a text prompt to generate a combination of both prompts. In contrast, Stable Diffusion\u2019s image-to-image feature uses the input image as an initial image but does not use it for conditioning. However, Stable Diffusion Reimagine does use an input image for conditioning instead of a text prompt, which is the closest equivalent to MidJourney\u2019s approach.<\/p>\n

Overall, it seems that MidJourney has an advantage in terms of using image prompts in conjunction with text prompts, while Stable Diffusion\u2019s approach is more focused on using input images for conditioning. The best choice ultimately depends on the user\u2019s specific needs and preferences.<\/p>\n

Image-to-image<\/h3>\n

At present, Midjourney does not provide any image-to-image functionality, which allows diffusion models to generate images based on existing ones. This is not unexpected, as earlier versions of Midjourney may not have been diffusion models.<\/p>\n

In contrast, Stable Diffusion does offer image-to-image functionality, providing users with more flexibility and creative possibilities.<\/p>\n

So, for those interested in image-to-image generation, Stable Diffusion may be the better choice.<\/p>\n

Prompt Limit<\/h3>\n

Previously, Midjourney\u2019s user guide stated that there was a 60-word limit for prompts, but this statement has since been removed, making the prompt limit unclear. In contrast, AUTOMATIC1111 now supports prompts of unlimited length.<\/p>\n

Therefore, the verdict is unclear as to which platform has a more flexible prompt limit.<\/p>\n