Image Generation

TextCortex offers an extensive suite of options when it comes to image generation capabilities.

In this comprehensive guide, we will explore each available option providing detailed recommendations and best practices to help you achieve superior results.

Gemini 3 Pro Image

Gemini 3 Pro Image delivers exceptional photorealistic capabilities and represents one of the most advanced image generation technologies available.

Strengths

• ✅ Achieves clear and readable text rendering within images, addressing a common weakness in many AI image generators).
• ✅ Capable of producing everything from hyperrealistic photographs to stylized illustrations.
• ✅ Demonstrates excellent understanding of detailed, multi-element prompts.

Weaknesses

• ❌ Visual data outputs like charts, diagrams and infographics may contain errors or misrepresented information. Double-check all data-focused content before use.
• ❌ Major changes or edits to previously generated images may sometimes produce unnatural results.
• ❌ May struggle with highly conceptual or surreal artistic requests.

Best Practices

• Use specific, descriptive language with clear subject-verb-object structure.
• Include as many details as possible ("soft natural lighting," "golden hour sunlight").
• Specify angles and composition ("wide-angle shot," "close-up portrait").
• Add technical terms for photorealistic results ("shallow depth of field," "bokeh effect").

Optimal Use Cases

• Producing professional product mockups and e-commerce imagery.
• Creating high-quality marketing visuals requiring text integration.
• Producing explanatory slides for your presentations.
• Supporting data visualization through informative charts, graphs, infographics.

Gemini Nano Banana

Strengths

• ✅ Optimized for quick turnaround times without sacrificing basic quality.
• ✅ Beginner friendly, excellent for creative and practical editing.
• ✅ Reliable results across multiple generations.

Weaknesses

• ❌ Not as accurate with clear text rendering.
• ❌ May struggle with very detailed scene requirements.
• ❌ Not suitable for high-resolution or extremely detailed imagery.

Best Practices

• Keep your prompts clear, concise and focused on single subjects.
• Avoid overly complex scene descriptions.
• Prioritize main subject over background details.

Optimal Use Cases

• Generating pictures for your social media posts, YouTube thumbnails.
• Testing out different ideas for e-commerce catalogues, showcasing variations of a product or a service.
• Adapting marketing visuals for multiple contexts.
• Crafting shareable assets that will strengthen community engagement.
• Creating infographic visuals from text.

GPT-Image-1

Strengths

• ✅ Great ability to interpret complex instructions and convert them into visual representations while being versatile across different styles.
• ✅ Excellent at translating abstract concepts and creative briefs into visual form.
• ✅ Strong realism.

Weaknesses

• ❌ May prioritize artistic interpretation over strict photorealism.
• ❌ Results may vary significantly with similar prompts.
• ❌ Artistic output can be somewhat unpredictable.

Best Practices

• Write prompts as if describing a scene to another person.
• Keep your prompt under 150 words: short, structured prompts tend to maintain fidelity.
• Include emotional context and mood descriptors.

Optimal Use Cases

• Generating illustrations for abstract concepts.
• Creating posters, product mockups, brand-clean graphics, visuals for newsletters.
• Showcasing products in different colors or configurations.
• Developing consistent visual elements and brand imagery.

flux

Strengths

• ✅ Great prompt adherence.
• ✅ Offers good results when producing pictures of realistic human anatomy.
• ✅ Capable of producing diverse artistic styles.

Weaknesses

• ❌ Struggles with very complex prompts.
• ❌ Can present text rendering issues.
• ❌ Can be inconsistent when trying to maintain specific artistic styles across different generations.

Best Practices

• Focus on character-driven imagery and human subjects.
• Use clear, direct language rather than complex, layered descriptions.
• Specify artistic style preferences early in the prompt.

Optimal Use Cases

• Ideal for visual storytelling: use it for creative projects and concept visuals.
• Crafting brand assets, architectural mood visuals, eye-catching magazine spreads.
• Producing stock pictures for marketing strategies, to include in blog posts or landing pages.

Stable Diffusion 3

Strengths

• ✅ Capable of producing wide range of artistic styles.
• ✅ Can interpret complex prompts with remarkable accuracy.
• ✅ It understands nuanced descriptions, guidelines and stylistic requirements.

Weaknesses

• ❌ Difficulty in rendering human anatomy correctly.
• ❌ Can present difficulty in rendering readable text. 

Best Practices

• Avoiding prompts with "lying" positions might help create better images.
• Use negative prompts to exclude unwanted elements.

Optimal Use Cases

• Generating on-brand imagery.
• Crafting photorealistic portraits, technical illustrations, expanding creative ideas.
• Producing product representations or campaign themes.

DALL-E 3

Strengths

• ✅ Good understanding of detailed textual descriptions.
• ✅ Faithful reproduction of described scenes and elements.
• ✅ Reliable text rendering.
• ✅ Reliable for simple visuals.

Weaknesses

• ❌ Struggles with complex or abstract requests.
• ❌ May have slower generation times.
• ❌ Less flexibility with highly stylized artistic approaches.

Best Practices

• Use detailed, descriptive language with specific adjectives.
• Specify colors, textures and materials explicitly.
• Describe lighting conditions and atmosphere.
• Include spatial relationships ("to the left of," "in the background").

Optimal Use Cases

• Producing marketing materials or educational content with specific visual requirements.
• Crafting simple illustrations for articles or newsletters.
• Experimenting with logo designs.