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Enhance Characters in Midjourney: Exploring Key V7 Features

May 12

4 min read

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A Midjourney generated image using Midjourney Automation Suite

Midjourney V7 is here, bringing exciting updates that help you create even better images. This new version includes changes that improve how Midjourney understands your requests and renders details. A big focus in this update is on making characters, objects, and scenes more consistent across your generations.

Let's look at some of the main new features in Midjourney V7 and how they can help you.

Important Midjourney V7 Updates

Improved Core Model

The core image model in Midjourney V7 has been updated. This means better overall image quality. The system now follows your prompts more accurately. It also does a better job at keeping bodies looking right and characters consistent between different images you create.

Using the Experimental Parameter (--exp)

V7 brings an experimental parameter, sometimes referred to as `--exp` or `--aesthetic`. It controls the overall look or style of your image. Think of it like adjusting the aesthetic feel. The value can go from 0 to 100. The default setting is 0.

When you use higher values for `--exp`, the image might become more creative and unique, but it can also follow your original text prompt less closely. It might also show less image diversity across the four picture grid. Some recommended settings for `--exp` are 50, 20, 50, or 100, but it's best to experiment to see what works for you.

Omni Reference (--oref)

This is a powerful new feature called Omni Reference, used with `--oref`. What does it do? It tells Midjourney to include the subject of a reference image in your new generation. This is different from just copying the style.

You can use `--oref` for various things: people, objects, or places. It helps Midjourney understand the key elements you want transferred from your reference picture into the new one. This is especially helpful for keeping a character's look or an object's shape the same.

Controlling Omni Reference Strength (--ow)

When using Omni Reference, you can control how strongly it affects the new image. You do this with the Omni Weight parameter, `--ow`. On the Midjourney website, this might be called Omni Strength.

[P]The `--ow` value ranges from 0 to 1000, with a default of 100.

  • Use a lower value if you want to pull the subject but change the overall style (like changing a photo of someone into an animation style).

  • Use a higher value if you want to keep the appearance of the subject (like their face or clothing) very close to the original reference image.

This is similar to how you might have used the Character Weight (`--cw`) parameter with Character Reference (`--cref`) in older versions, though Omni Reference has a broader use.[/P]

Managing reference images and tuning parameters like `--oref` and `--ow` can become complex quickly. For users looking to streamline this process, the Midjourney Automation Suite from TitanXT offers tools to help manage references and settings more efficiently.

Updated Fast Mode & Quality Options

Midjourney V7 offers improved speeds for creating images. In Fast mode, tasks are quicker, often taking around 18 seconds per image job. Turbo mode is still available for even faster results, around 40 seconds per job, but costs more.

[P]V7 also introduces new Quality settings (`--q`):

  • `--q 2`: This option effectively doubles the render quality compared to the standard setting.

  • `--q 4`: This is a new experimental setting that aims for even better consistency and more detailed images.

Experimenting with `--q` can help you find the right balance of speed and detail for your projects.[/P]

Using Midjourney Settings (Web vs Discord)

You can access Midjourney through Discord or the website. Many users find the website more user-friendly for adjusting settings visually.

On the website, you can often see and change settings like:

  • Aspect Ratio (Portrait, Square, Landscape, even 16:9 or 2:1 cinematic look)

  • Aesthetic Parameters like Stylize (`--s`) and Weirdness (`--w`)

With Stylize (`--s`), you can adjust the value from 0 to 1000. Default is 100. Weirdness (`--w`) goes from 0 to 3000, default is 0.

If you're using Discord, you typically need to type these parameters directly into your prompt using the `--` command format (e.g., `--ar 16:9 --s 250`).

Using a tool that helps organize and apply these parameters can make your workflow smoother. Consider exploring the features offered by TitanXT's Midjourney Automation Suite.

Comparing Midjourney Versions (V6.1 vs V7)

Midjourney V7 builds on V6.1. While V7 has the newest features, you can still choose to use V6.1 or even older versions if you prefer their specific look or characteristics. V6.1 still offers features like Personalize (`--p`).

V7 introduces a new mode called Draft mode. This mode is extremely fast for generating initial ideas. It's unique to V7. When you use V7 without specific stylization or personalization, you might notice a wider variety of styles in the results, sometimes leaning more towards an animated look.

Important Cost Notes

Keep in mind that using some of the new features like the experimental parameter (`--exp`) or Omni Reference (`--oref`) will cost more compute time than a standard Fast mode job. These operations typically cost twice as much.

Conclusion

Midjourney V7 brings exciting updates that improve image quality and give you more control over the look and consistency of your creations, especially with characters and referenced subjects. Features like Omni Reference, the experimental parameter, and updated quality settings offer new ways to fine-tune your results.

Experiment with these new features to see how they can enhance your creative projects. Understanding how parameters like `--exp`, `--oref`, and `--ow` work together is key to mastering V7.

To help manage all these new options and streamline your creation process, check out the Midjourney Automation Suite from TitanXT. It can simplify using reference images and managing complex parameters for better results.

May 12

4 min read

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