Text-to-Image Prompt Techniques

Style Modifiers - These are used to influence the artistic style or visual characteristics of an image, utilizing descriptors like art styles, specific time periods in art history, or traits typical of certain artists. Examples include color, contrast, texture, shape, and size.

Example Prompt: "Create an image of a bustling city street in the Impressionist art style, featuring vibrant colors and high contrast."

Quality Boosters - Improve the visual quality and detail of the image with terms indicating higher resolution and clarity. Examples include terms like high resolution, 2k, 4k, hyper-detailed, and sharp focus.

Example Prompt: "Generate a hyper-detailed, 4k resolution image of a mountain range during sunrise, with sharp focus and complementary colors."

Repetition - Use repetition of words or phrases to highlight a specific visual element or concept, enhancing its presence and variation in the image. Common terms include tiny, dense, enormous, vast, serene, and lush.

Example Prompt: "Create an image of a serene, serene, serene lakeside at dusk, emphasizing the vast, vast, vast open water."

Weighted Terms - Employ emotionally or psychologically impactful words to either highlight or downplay certain features or feelings in the image. Examples of weighted terms are warm (+10), crackling (+8), shimmering (+6), neon-lit (+8), colorful (-6), and exotic (+10).

Example Prompt: "Illustrate a neon-lit, neon-lit, shimmering (+6) urban night scene that feels warm (+10) and inviting, with a focus on bustling street life."

Fix Deformed Generations - Correct any deformities or anomalies in the generated images with negative prompts that improve visual quality. This includes addressing issues like distortion, pixelation, and clarity.

Example Prompt: "Adjust the image to remove distortion and pixelation, ensuring clarity and accurate proportions of a classical sculpture."