Text to Image Prompt Technique

# TEXT TO IMAGE PROMPTS TECHNIQUES-

IMAGE PROMPT IS AN TEXT DESCRIPTION OF AN IMAGE WE WANT 



TYPES-

## Style Modifier-
 influence artistic style and visual attributes, including color, texture, shape, and can reference art styles, historical periods, or famous artists.
 Example: "A portrait of a cat in the style of watercolor painting with soft pastel colors."

## Quality Boosters-(boosts quality of image)
These terms improve the image's clarity, sharpness, and overall quality, making it look more professional and detailed.
Example: "A high-resolution photo of a mountain landscape with sharp focus and vibrant colors."
Words like "high-resolution," "sharp focus," and "vibrant colors" boost the image quality.

## Repetition-
reptition ofcertian word in  prompt;helps ai to focus more on that word
Example: "A dense, dense forest with dense green trees and dense fog."
Repeating "dense" highlights the thick, lush nature of the forest.

## Weighted Terms-
phrases having prowerful impact on model(These are words given more or less importance to influence the image's emotional or visual impact. Positive weights emphasize, negative weights reduce focus.)
Example: "A warm (weight +10), crackling (weight +8) fireplace in a cozy cabin."
Here, "warm" is more emphasized than "crackling," guiding the AI to focus on warmth.
Ex-
"free","limited time offfer","guaranteed"-depicts sense of urgency,security and trust.

## Fix Deformed Generation-
 This technique uses negative prompts to avoid unwanted distortions or errors in the image(like misshapen body part,pixeltion)
 Example: "A portrait of a person, no distorted hands, no blurry background." The negative terms "no distorted hands" and "no blurry background" help fix common image issues.