Become a GOD in Midjourney with Text Weights

Tokenized AI by Christian Heidorn
11 Jan 202316:58

TLDRThis video tutorial explains the crucial aspects of using text weights in Midjourney to enhance creativity and control in image generation. It debunks common misconceptions about prompt structuring with commas and underscores the significance of text weights in specifying the importance of different components in a prompt. Through various examples, the presenter demonstrates how adjusting text weights dramatically alters the output, thereby offering viewers a powerful tool to refine their creative outputs. The tutorial also introduces negative text weights, expanding the userโ€™s ability to fine-tune their image results in Midjourney.


  • ๐Ÿ“ **Mid-Journey Text Weights**: Understanding the importance of prompt structure and using text weights can significantly enhance creativity and control over AI-generated images.
  • โŒ **Commas Myth**: Contrary to common belief, using commas in your prompts does not affect the AI's interpretation as much as text weights do.
  • ๐Ÿ”‘ **Text Weights**: Assigning different weights to parts of your prompt allows you to emphasize certain elements over others in the generated images.
  • ๐Ÿ”„ **Punctuation Ignorance**: Mid-Journey typically ignores punctuation, treating the prompt as a whole text rather than segmented parts.
  • ๐ŸŽจ **Creativity Boost**: Using text weights can lead to more creative and varied outputs compared to plain prompts without weights.
  • ๐Ÿ”ข **Numerical Weights**: The numbers assigned as weights directly influence how much emphasis the AI places on each part of the prompt.
  • ๐Ÿ’ก **Concept Interpretation**: Without weights, the AI tends to interpret the prompt as a single concept, but with weights, it treats each keyword as a separate concept.
  • ๐Ÿš€ **Extreme Weights**: Assigning extreme weights to certain keywords can lead to drastically different and sometimes unexpected interpretations by the AI.
  • ๐ŸŒ **Full Sentences**: Text weights can be effectively applied to full sentences, allowing for nuanced control over the narrative or scene being generated.
  • โž• **Combining Keywords**: Experimenting with different combinations of keywords and their respective weights can produce a wide range of creative results.
  • ๐Ÿ” **Fine-Tuning Control**: Text weights provide a level of control that allows for fine-tuning the specifics of what is generated, from the background to the main subjects.

Q & A

  • What is the main misconception about structuring prompts in mid-journey?

    -The main misconception is that using commas in a prompt structures it into different partial concepts. However, Midjourney doesn't pay much attention to punctuation or sentence structure and interprets the prompt as a whole.

  • What is the purpose of using text weights in prompts?

    -Text weights allow users to give different importance to different parts of the prompt, enabling Midjourney to put more emphasis on certain keywords or concepts over others.

  • How does the absence of a value in text weights affect the interpretation by Midjourney?

    -If no value is added to the text weights and just the double colon is used, it is equivalent to adding a value of one, meaning equal weight is given to each keyword.

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

    -Using text weights in a prompt results in more creative and varied outputs from Midjourney, as it allows the system to focus more on certain aspects of the prompt while de-emphasizing others.

  • Can text weights be applied to full sentences?

    -Yes, text weights can be applied to full sentences, allowing for more control over the interpretation and creative output of complex concepts.

  • What is the effect of using negative text weights?

    -Negative text weights can be used to reduce the importance of certain keywords in the prompt, which is an essential skill for supercharging the control over the images generated.

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

    -Changing the weighting of keywords shifts the emphasis in the generated images, resulting in different creative outputs that highlight the more heavily weighted concepts.

  • What is the seed parameter used for in Midjourney?

    -The seed parameter is used to reduce the randomness of the results, allowing for better comparison between different prompts and maintaining a consistent composition across similar prompts.

  • Why might someone want to use text weights instead of commas to separate keywords in a prompt?

    -Using text weights instead of commas provides a more precise way to control the emphasis on different parts of the prompt, leading to more nuanced and creative image generation.

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

    -The basic rule of thumb is that a prompt structured with commas, like 'imagine keyword1, keyword2, keyword3', is roughly the same as saying 'imagine keyword1 keyword2 keyword3', with slight differences but essentially the same interpretation.

  • How does the transcript suggest using text weights can enhance creativity in generated images?

    -The transcript suggests that by adjusting the text weights assigned to different keywords, users can guide Midjourney to interpret and generate images with more creative and varied interpretations of the prompt.

  • What is the significance of the weighting of 'one' in text weights?

    -A weighting of 'one' signifies equal importance among the keywords it is applied to. It is the default weight if no number is specified after the double colon.



๐Ÿ” Understanding Mid-Journey Text Weights

This paragraph focuses on the importance of understanding prompt structure in mid-journey text generation and debunking common misconceptions about the use of commas in prompts. It explains that commas do not structure prompts into partial concepts as commonly believed. The example provided uses prompts with and without commas to generate images of red houses, showing that mid-journey does not significantly differentiate based on punctuation, thus challenging the typical understanding of prompt structuring in image generation tools.


๐Ÿ”„ Experimenting with Text Weights in Prompts

The discussion here elaborates on how adjusting text weights in prompts significantly alters the outcomes of generated images. It contrasts prompts with equal weights against those with varying weights using examples of a red house and how altering the weight impacts the prominence of the house versus the color red in the images. The experiments demonstrate how increasing the weight of one keyword over another influences the creativity and specificity of the results, thus providing a tool for more controlled and tailored image outputs.


๐ŸŒ„ Leveraging Weights for Creative Image Generation

This segment explores more advanced uses of text weights by experimenting with different keyword emphasis in landscape images, demonstrating how weighting affects the generation of complex scenes. Through various examples, including the juxtaposition of mountains, rivers, and the color pink with different weightings, it is shown that tweaking the weight distribution can lead to dramatically different and more creative landscapes, emphasizing the powerful control text weights offer in image composition.


๐Ÿ‘จโ€๐Ÿ’ป Advanced Techniques and Final Thoughts on Text Weights

The final paragraph culminates with a deeper exploration of text weights, showcasing how they can be used to fine-tune and direct the thematic and visual focus of images. It emphasizes the flexibility offered by text weights to influence the narrative and visual elements of generated images, urging the viewer to use weights more actively for precise control over the creative output. Additionally, it hints at the possibility of using negative weights for further customization, pointing viewers to additional resources for mastering this technique.



๐Ÿ’กMid-Journey Text Weights

Mid-Journey Text Weights refer to a technique used in creative prompts to guide the emphasis of an AI's output. In the video, it is explained that by assigning different weights to different parts of a prompt, one can control the focus and creativity of the generated images, allowing for more nuanced and varied results.

๐Ÿ’กPrompt Structure

Prompt structure is the arrangement of words and phrases in a command given to an AI system. The video clarifies that contrary to common belief, the use of commas in a prompt does not necessarily dictate separate blocks of thought for the AI, but rather the AI interprets the entire prompt as a single concept.

๐Ÿ’กSeed Parameter

The seed parameter is a value used in conjunction with an AI's 'Imagine' command to reduce randomness in the output. By setting a specific seed value, the AI can generate images with a consistent composition, which is useful for comparing different prompts or for maintaining a desired outcome.

๐Ÿ’กText Weights

Text weights are numerical values assigned to keywords in a prompt to indicate their relative importance. The video demonstrates that by adjusting these weights, one can influence the AI's interpretation and the resulting images, leading to more creative and controlled outputs. For example, giving 'red' a higher weight than 'house' results in images where the color red is more dominant.

๐Ÿ’กNegative Text Weights

Negative text weights are values that can be used to reduce the influence of certain keywords in a prompt. While the video does not delve into this concept, it suggests that negative weights can be an essential skill for gaining more control over the AI's output, potentially leading to more refined and focused results.


Creativity in the context of the video refers to the AI's ability to generate unique and varied images based on the prompts given. The use of text weights is shown to enhance creativity by allowing for more complex and less predictable interpretations of the prompt.


Control is the degree to which the user can influence the AI's output. The video emphasizes that by using text weights, users gain more control over the final image, being able to dictate the focus and style of the generated content more precisely.

๐Ÿ’กAI Interpretation

AI interpretation is how the AI system processes and understands the input from the user's prompt. The video illustrates that the AI does not strictly adhere to punctuation or sentence structure but rather interprets the prompt as a whole, with text weights significantly affecting this interpretation.

๐Ÿ’กClosed Concepts

Closed concepts are straightforward ideas or phrases that the AI interprets as a single, unified idea. The video contrasts closed concepts with the more open-ended and flexible interpretations that can occur when using text weights, leading to more diverse and creative outputs.

๐Ÿ’กHolistic Concept

A holistic concept in the context of the video is a prompt that is viewed by the AI as an entirety, rather than dissecting it into separate parts. The video demonstrates that even complex sentences can be treated as holistic concepts, which can lead to surprisingly coherent AI-generated images.

๐Ÿ’กPortait Mode

Portrait mode, as mentioned in the video, refers to a style of image where the focus is on a single subject, often with a blurred background. In the context of the video, the AI is shown to adjust its output to include elements of portrait mode when given specific text weights, emphasizing the subject (e.g., a hacker) in the generated images.


Using mid-journey text weights allows for more control and creativity in prompt structures.

Demonstration of a common misconception that commas structure prompts into partial concepts in mid-journey.

Examples showing that mid-journey does not pay much attention to punctuation or sentence structure.

Explanation of how text weights in prompts can emphasize certain aspects over others.

Clarification that using commas in prompts does not equate to applying text weights.

Highlighting the massive difference in output when using text weights compared to traditional comma-separated prompts.

Illustration of how changing the weighting in a prompt drastically alters the generated images.

Demonstration of increased creativity and varied interpretations when using higher text weights.

Comparative examples showing the effects of different weight distributions in image generation.

How extreme text weights can lead to unexpected and creative outputs.

Using full sentences with text weights to control image output more precisely.

The practical use of text weights to mold image generation to match specific creative visions.

Advantages of using positive and negative text weights for finer control over image results.

Recommendation to use text weights for greater influence on the final scene and image creativity.

A call to explore negative prompting as an essential skill for enhancing control over generated images.