Image Generation AI Prompt Command Glossary: Turning Dreams into Reality

Image Generation AI Prompt Command Glossary: Turning Dreams into Reality

This guide provides a comprehensive overview of the commands and techniques used to write prompts for image generation AI (Stable Diffusion, Midjourney, DALL-E, etc.). Effective prompts are essential for accurately expressing the image you desire.

I. Basic Structure:

Prompts generally follow this structure:

[Subject] + [Style] + [Detailed Description] + [Quality/Technical Elements]

II. Core Commands & Techniques:

1. Subject: The main focus of the image

• Specify the subject clearly: a cat, a futuristic city, a portrait of a woman.

• Quantity: Specify the number of subjects: a group of birds, three apples.

• Characteristics: Describe the subject's features: a fluffy cat, a dilapidated city, a smiling woman.

2. Style: The artistic style of the image

• Artist: Imitate the style of a specific artist: in the style of Van Gogh, inspired by Monet, like a painting by Picasso.

• Art Movement: Specify an art movement: Impressionism, Surrealism, Cyberpunk, Steampunk.

• Media: Specify the image's representation: painting, photograph, illustration, digital art, 3D render.

• Film/Game Style: Imitate the style of a specific film or game: as seen in Blade Runner, inspired by Studio Ghibli.

3. Detailed Description: Details and atmosphere of the image

• Color: Specify the color palette: vibrant colors, muted tones, monochrome, pastel colors.

• Lighting: Specify the lighting effects: soft lighting, harsh shadows, golden hour, backlit.

• Composition: Specify the camera angle and composition: close-up, wide shot, aerial view, portrait.

• Mood: Describe the image's atmosphere: dreamy, mysterious, romantic, dramatic, futuristic.

• Special Effects: Add special effects: bokeh, motion blur, depth of field, lens flare.

• Background: Specify the background: forest background, city skyline, starry night.

4. Quality/Technical Elements: Image quality and resolution

• Resolution: Specify the image resolution: 8k, 4k, high resolution, ultra detailed.

• Rendering Engine: Specify the rendering engine: Octane Render, Unreal Engine, V-Ray. (Support varies depending on the AI)

• Keywords: Use keywords to enhance image quality: trending on ArtStation, highly detailed, masterpiece, award-winning.

III. Advanced Commands & Techniques:

• Negative Prompts: Exclude unwanted elements from image generation: (e.g., ugly, blurry, deformed).

• Weighting: Assign weights to specific words to increase their importance: (e.g., cat:1.5, dog:0.5 - cat is emphasized, dog is less emphasized).

• Seed: Specify the initial value for image generation to create similar images with the same prompt.

• Aspect Ratio: Specify the width-to-height ratio of the image: (e.g., 16:9, 1:1).

• CFG Scale (Classifier-Free Guidance Scale): Adjust the AI's adherence to the prompt. (Higher values are more faithful to the prompt but can result in unnatural images).

• Sampling Steps: Specify the number of iterations in the image generation process. (Higher values improve quality but take longer).

IV. AI-Specific Features:

• Stable Diffusion: Highly flexible and supports various models. Good for utilizing negative prompts and weighting.

• Midjourney: Strong in artistic image generation, and good results can be achieved with concise prompts.

• DALL-E: Excellent natural language understanding, capable of interpreting complex prompts well.

V. Useful Tips:

• Be Specific: Use concrete words instead of vague expressions.

• Combine Keywords: Combine various keywords to express the desired image.

• Experiment: Try different prompts and compare results to find the optimal prompt.

• Utilize Communities: Refer to and share prompts from other users.

Reference Materials:

• Lexica Art: https://lexica.art/ (Stable Diffusion prompt examples)

• Midjourney Documentation: https://docs.midjourney.com/ (Official Midjourney documentation)