Image Generation Guide

Master the art of AI image generation with Dreamshot.

Understanding AI Image Generation

AI image generation uses machine learning models to create images from text descriptions (prompts) and reference images. Dreamshot uses state-of-the-art models optimized for commercial and product photography.

Generation Workflow

Reference Image + Prompt + Settings → AI Model → Generated Images

1. Prepare Your Reference Image

The quality of your input affects your output:

• Resolution: Use at least 1024x1024 pixels
• Lighting: Even, professional lighting works best
• Background: Clean backgrounds give better results
• Focus: Sharp, in-focus images produce cleaner generations

2. Craft Your Prompt

Structure your prompts effectively:

[Subject] + [Action/Pose] + [Environment] + [Style] + [Quality modifiers]

Example:

A silver Mercedes C-Class sedan, parked on cobblestone street,
European city background, golden hour lighting,
professional automotive photography, 8K, ultra detailed

3. Adjust Settings

Setting	Range	Purpose
Guidance Scale	1-20	How closely to follow the prompt
Steps	20-50	Quality/speed tradeoff
Seed	Any number	Reproducibility

4. Review and Iterate

• Generate multiple variations
• Compare results side by side
• Adjust prompt based on what works
• Save successful prompts for future use

Advanced Techniques

Negative Prompts

Tell the AI what to avoid:

Negative: blurry, low quality, distorted, watermark, text, cropped

Style Consistency

For consistent results across multiple images:

1. Save your prompts
2. Use the same seed as a base
3. Keep core style descriptors constant
4. Only change subject-specific details

Batch Generation

Generate multiple images efficiently:

1. Queue multiple prompts
2. Use variations of the same seed
3. Process during off-peak hours for faster results

Best Practices

1. Start Simple: Begin with basic prompts, add complexity gradually
2. Be Specific: Vague prompts give unpredictable results
3. Iterate Fast: Generate quickly, refine what works
4. Save Successes: Keep a library of effective prompts
5. Learn from Failures: Understand why some generations don't work