2.9 – Additional Parameters No, Image Weight, Quality, and Seed Lesson

Lesson Overview

This lesson focuses on four additional Midjourney parameters that are still set manually and are not yet available as easy-access sliders in the prompt bar: No, Image Weight (iw), Quality (q), and Seed. These options give you precision and flexibility beyond what the standard interface allows.

The No parameter (negative prompting) enables you to specifically exclude elements from your images, which is helpful when you want clean results without certain subjects—such as removing people from cityscapes. Image Weight fine-tunes how much reference photos guide Midjourney, making it possible to either mimic a source image closely or just keep a loose influence. Quality is important for balancing detail versus speed, so you can generate drafts quickly or invest extra GPU time for final, refined artwork. Seed brings consistency, letting you return to earlier results by specifying the same starting point, or tweak outcomes while keeping a stable foundation.

Manual parameters are most helpful for creators who need tight control—like illustrators, designers creating a series, or marketers testing image variations. In business and education, these parameters can streamline experimentation, produce clear A/B tests, or help with creative iteration.

Who This Is For

If you want more influence over Midjourney results and need repeatability or specific exclusions, this lesson is designed for you.

• Visual designers and illustrators looking for consistent series of images
• Marketers testing creative elements or running variations on ad imagery
• Educators demonstrating prompt engineering to students
• Content creators aiming to shape AI art with precision
• Product teams prototyping or iterating on visual concepts

Where This Fits in a Workflow

You’ll typically use these parameters once you understand the basics of prompting and want to achieve more precise results. For example, you might use the No parameter to remove undesired themes or objects from drafts before sharing with clients. Image Weight comes into play when integrating reference images with text prompts, such as adapting style guides while retaining flexibility. Adjusting Quality is practical when you need many quick variations for brainstorming, then switching to high detail for final proofs. Seed is invaluable for evergreen projects, branding iterations, or rerunning ideas with slight prompt changes.

Altogether, these parameters help you produce targeted, repeatable outputs and refine images efficiently as part of an ongoing creative cycle.

Technical & Workflow Benefits

Using manual parameters creates a significant difference compared to relying only on default sliders. The No parameter allows tailored negative prompting—cutting down manual image editing after generation. Image Weight gives you more consistency or variety from photo-based prompts, which isn’t possible with only descriptive text. The Quality parameter lets you save valuable GPU hours when exploring early concepts or boost detail for final outputs without manual retouching. Seed ensures that you can rerun or adjust projects with predictable results—removing guesswork and making client feedback rounds smoother.

Rather than spending time re-prompting and sorting through unrelated outputs, these parameters help you direct Midjourney’s generative process more closely to your needs. This translates to less wasted time, fewer surprises, and tighter control over creative direction.

Practice Exercise

Try out these parameters with a familiar concept to see how they affect your workflow:

1. Choose a subject, such as "a busy city street," and generate an image with and without the `--no people` parameter. Observe how the exclusion changes the result.
2. Find a stock photo and use it as your image prompt along with text. Experiment by setting `--iw 0.5` and `--iw 3` to see the range of influence.
3. Run the same prompt at `--q 0.5`, `--q 1`, and `--q 2` to compare speed and detail.
4. Use a chosen prompt with a specific seed number (e.g., `--seed 6789`) and note how rerunning it keeps results stable.

Which parameter gave you the most unexpected or useful adjustment to your prompt results?

Course Context Recap

This lesson builds on your foundational prompting skills by introducing manual parameters that offer more targeted control in Midjourney. Previous lessons explored basics and standard settings, so now is the time to take experimentation further with techniques not yet moved to the interface sliders. Up next, you’ll deepen your understanding of creative workflows and learn how to blend these manual commands with other advanced features. Continue exploring the course to unlock more practical tips for getting the most from Midjourney’s evolving toolset.