Introducing Ultra for High-Fidelity Marketing Assets

What Ultra Mode Does

Ultra mode is a higher-fidelity generation option that produces approximately 2x the output resolution of our base model. It significantly improves text rendering accuracy and handles complex compositions with multiple elements, products, logos, packaging details, and reference imagery.

The technical difference:

• 2k resolution (4k coming later this month)
• Enhanced text rendering accuracy
• Better handling of multiple branded elements in single compositions
• Improved consistency across fine details and complex patterns

When to Use Ultra Mode

Ultra is designed for final asset production. It adds processing time and uses additional credits per generation.

Use Ultra for:

• Product packaging with nutritional labels, ingredient lists, or legal copy
• Assets containing small text that must be legible (product labels, pricing, calls-to-action)
• Complex layouts with multiple branded elements requiring consistency
• Any output destined for print or large-format display
• Final social assets where brand consistency and polish are critical

How to Use Ultra Mode

Suggested standard workflow to get the highest quality output:

1. Run rapid concepting with base model to establish creative direction (generate 40 to 50 variations in less than five minutes)
2. Select your preferred creative direction and copy the prompt. 
3. Toggle Ultra mode on
4. Generate variations
5. Review and edit as needed

Best Practices for text-heavy assets:

1. Include exact text strings in your prompt when precision is required
2. Be specific: "Established 1952" or "12 oz net weight" or "Organic Fair Trade Certified"
3. Specify text placement if not included in your reference images: "certification badges in lower right corner"
4. Generate multiple versions and select the most accurate

Best practice: Think of base model as your sketching phase and Ultra as your production phase.

What We Expect from Ultra (And What to Watch For)

Ultra significantly reduces text rendering errors, but it's not perfect. Expect to generate a few options before achieving pixel-perfect output, especially with:

• Text smaller than 12pt equivalent
• Text on curved or angled surfaces
• Complex logos with fine details
• Multiple text elements in a single composition

The model performs best when you provide explicit instructions about text content and placement.