Become a GOD in Midjourney with Text Weights

Tokenized AI by Christian Heidorn
11 Jan 202316:58

TLDRThe video script discusses the significance of using text weights in mid-journey prompts for AI image generation. It clarifies that structuring prompts with commas does not influence the AI's interpretation as much as applying text weights does. The script provides examples to illustrate how different weights can drastically change the output, leading to more creative and controlled results. It also touches on the misconception that commas segment prompts into blocks with equal weight. The video encourages experimenting with weights for better control over the generated images and briefly mentions the use of negative text weights for further control, suggesting viewers watch another video for more on that topic.


  • 📝 **Mid-Journey Text Weights**: Understanding the importance of prompt structure and using text weights can significantly enhance the creativity and control over generated images.
  • 🔍 **Commas and Punctuation**: Mid-Journey largely ignores commas and punctuation in prompts, treating them more as a single concept rather than separate ones.
  • 🔢 **Text Weights vs. Commas**: Assigning weights to different parts of a prompt (e.g., keyword1:1, keyword2:2) provides more nuanced control than simply separating keywords with commas.
  • 🎨 **Creativity with Weights**: Using text weights can lead to more creative and varied outputs compared to standard prompts without weights.
  • ⚖️ **Emphasis with Weights**: By adjusting the weights assigned to different keywords, you can emphasize certain aspects of the prompt over others, steering the generated content in a desired direction.
  • 🌐 **Conceptual Interpretation**: Mid-Journey interprets the prompt text as a whole, and the use of weights helps to refine which parts of the prompt are more or less important.
  • 📈 **Incremental Changes**: Small changes in the weights assigned to keywords can result in significant differences in the final generated images.
  • 🚀 **Extreme Weights**: Assigning extreme weights to certain keywords can lead to highly experimental and abstract interpretations by the AI.
  • ⛰️ **Landscape of Emphasis**: The use of text weights can dramatically shift the focus of the generated images, from the prominence of an object to the action or setting.
  • 💡 **Creative Prompting**: Text weights can be applied to full sentences and complex prompts, not just individual keywords, allowing for more detailed and layered scene creation.
  • 🔴 **Negative Text Weights**: In addition to positive values, negative text weights can be used to refine the output further, a technique explored in other resources.

Q & A

  • What is the significance of using mid-journey text weights in prompts?

    -Mid-journey text weights allow for greater control over the output, enhance creativity, and ensure that different parts of the prompt are given the appropriate emphasis.

  • Why do people commonly believe that structuring prompts with commas is effective?

    -People often think that commas separate different concepts in a prompt, but the script demonstrates that this is a misconception and that the AI does not pay much attention to punctuation.

  • What is the role of the 'seed' parameter in generating images?

    -The 'seed' parameter helps to reduce randomness in the results, allowing for consistent comparison between different prompts and maintaining a certain composition across images.

  • How can text weights be used to influence the interpretation of a prompt?

    -Text weights can be assigned to different parts of a prompt to indicate their relative importance. This tells the AI to put more emphasis on certain keywords or concepts over others.

  • What is the basic rule of thumb regarding the use of commas in prompts?

    -A prompt with commas separating keywords is roughly equivalent to saying the keywords without commas, as the AI tends to ignore most commas and interprets the prompt as a single concept.

  • How do text weights differ from commas in structuring prompts?

    -Text weights assign a numerical value to different parts of the prompt to indicate their importance, whereas commas are often incorrectly assumed to split the prompt into blocks with equal weighting.

  • What happens when you use text weights in a prompt?

    -Using text weights results in more creative and nuanced outputs, as the AI interprets the weighted parts of the prompt as more or less important, leading to a variety of interpretations.

  • Can text weights be applied to full sentences or only individual keywords?

    -Text weights can be applied to full sentences, allowing for nuanced control over the interpretation of more complex prompts.

  • What is the impact of using negative text weights?

    -Negative text weights can be used to reduce the emphasis on certain parts of the prompt, which is another way to control the output and is discussed in a separate video.

  • How does changing the weighting of keywords in a prompt affect the generated images?

    -Changing the weighting of keywords shifts the emphasis in the prompt, leading to images that reflect this emphasis, either by highlighting certain elements or by creating more abstract interpretations.

  • What is the key takeaway for creating prompts in the future?

    -The key takeaway is to use text weights more frequently to have greater control over the final scene and images, leading to more creative and desired outcomes.



🔍 Understanding Prompt Structure and Text Weights

The paragraph emphasizes the importance of prompt structure and the use of text weights in creative processes. It dispels the common misconception that commas in prompts are interpreted as separate concepts, and instead, demonstrates that the system tends to treat the entire prompt as a single concept. The speaker explains how text weights can be used to give different parts of a prompt varying levels of importance, leading to more nuanced and creative outputs. The paragraph also clarifies that using commas does not equate to assigning weights and that the system often ignores them.


🎨 Creative Consequences of Text Weights

This section illustrates the impact of assigning different weights to keywords within a prompt. It provides examples of how varying the weighting can significantly alter the output, from subtle differences to drastic changes in interpretation. The speaker shows how text weights can be used to steer the creative direction, resulting in more imaginative and diverse imagery. The examples given range from simple concepts like 'house, red' to more complex scenarios involving 'mountain, river, pink', demonstrating the flexibility and power of text weights in shaping the final output.


📈 Emphasizing Elements with Text Weights

The paragraph further explores the concept of text weights by showing how emphasizing certain elements over others can lead to a greater focus on those parts in the generated images. It explains that by adjusting the weighting of different keywords, one can control the prominence of each element within the scene. The speaker provides a detailed example using 'mountain, river, pink' with varying weights to show how the emphasis shifts according to the assigned weights, resulting in a range of creative landscapes.


🚀 Advanced Control with Text Weights

The final paragraph discusses the advanced use of text weights, including the application to full sentences and the possibility of using negative values for text weights. It demonstrates how text weights can be used to mold the final scene and images precisely, allowing for greater control over the creative output. The speaker also hints at the potential of negative prompting as an additional tool for enhancing control over the generated images, inviting viewers to explore this aspect further in another video.



💡Mid-journey text weights

Mid-journey text weights refer to the process of assigning different levels of importance to various parts of a prompt when using AI image generation tools. This technique allows users to control the emphasis on specific elements within their creative prompts, thus influencing the output of the generated images. In the video, it is demonstrated how adjusting text weights can lead to more creative and controlled results, as opposed to using commas which the AI often ignores.

💡Prompt structure

Prompt structure is the arrangement of words and phrases in a text prompt that guides the AI in generating an image. The video emphasizes the misconception that commas in a prompt structure different concepts for the AI to interpret. However, it is shown that the AI, such as Midjourney, does not differentiate between concepts separated by commas, thus leading to similar outputs regardless of the punctuation.

💡Creativity and control

Creativity and control are two main benefits highlighted in the video when using text weights in prompts. By adjusting the weights, users can guide the AI to produce more imaginative images while also maintaining a certain level of control over the final output. The video demonstrates how text weights can enhance both the creativity and precision of the generated content.

💡Seed parameter

The seed parameter is a numerical value added to a prompt to reduce the randomness of the AI-generated images. By using the same seed value, users can ensure that the composition of the generated images remains consistent across different prompts. This feature is particularly useful for comparing the effects of different prompt structures or text weights.

💡Text weights misconception

A text weights misconception is the incorrect belief that commas in a prompt serve the same function as assigning numerical weights to different keywords. The video clarifies that using commas does not alter the weight of the keywords in the prompt and that the AI treats the entire phrase as a single concept. In contrast, explicitly assigning weights to keywords allows the AI to understand the varying importance of different parts of the prompt.

💡Keyword importance

Keyword importance is determined by the weight assigned to each keyword in the prompt. By giving different weights to keywords, users can indicate to the AI which aspects of the prompt are more significant. This can dramatically change the generated image, emphasizing the more heavily weighted keywords and de-emphasizing those with lower weights.

💡Negative text weights

Negative text weights are a feature that allows users to reduce the influence of certain keywords in the prompt. While the video does not delve into this feature, it is mentioned as an advanced technique for gaining even more control over the image generation process. Using negative weights can help to suppress certain elements or concepts in the generated images.

💡AI image generation

AI image generation is the process by which artificial intelligence creates images based on textual prompts provided by users. The video discusses how the use of text weights can enhance this process, leading to more creative and controlled outputs. The AI's interpretation of the prompt, influenced by text weights, shapes the final image.

💡Closed concepts

Closed concepts in the context of the video refer to prompts that are treated by the AI as a single, unified idea, regardless of the punctuation used. The video demonstrates that without text weights, the AI does not differentiate between concepts separated by commas, leading to images that reflect a single, combined idea.

💡Prompt interpretation

Prompt interpretation is how the AI understands and processes the user's text input to generate an image. The video shows that the AI's interpretation can be significantly influenced by the use of text weights, allowing for a more nuanced and varied range of outputs compared to a basic prompt without weights.

💡Comparative analysis

Comparative analysis is used in the video to demonstrate the effects of different prompt structures and text weights. By comparing images generated from prompts with and without weights, the video illustrates the impact of these techniques on the creativity and controllability of the AI-generated images.


Mid-journey text weights can significantly enhance creativity and control in AI-generated images.

Common misconceptions about prompt structuring with commas are debunked through examples.

The importance of prompt structure is emphasized for achieving desired outcomes.

Text weights allow users to assign different levels of importance to parts of their prompts.

Using commas in prompts does not affect the output as much as using text weights.

The AI tends to ignore most commas, treating prompts with commas similarly to those without.

Text weights enable more nuanced control over the emphasis on different prompt elements.

Examples demonstrate how changing weights on keywords can drastically change the AI's interpretation and output.

The absence of a value in text weights is equivalent to a weighting of one.

Increasing the weighting on a concept in the prompt leads to more creative and focused results.

Extreme weightings can lead the AI to prioritize certain elements, sometimes to the point of deviation from the original prompt.

Text weights can be applied to full sentences, not just individual keywords.

Adjusting text weights in sentences can yield more creative and varied interpretations.

Negative text weights can also be utilized for additional control over the AI's output.

The video provides practical examples of how text weights can supercharge image generation.

Using text weights leads to a more controlled and creative output compared to standard prompts.

The potential for control and creativity in AI-generated images is greatly expanded through the strategic use of text weights.