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Nano Banana can be prompt engineered for extremely nuanced AI image generation
18 hours ago
- FLUX.1-dev has overshadowed Stable Diffusion, but ChatGPT's free image generation, especially the 'Studio Ghibli' style, became the new benchmark for AI images.
- Google's Gemini 2.5 Flash Image (codename Nano Banana) is an autoregressive model with strong prompt adherence, allowing for detailed edits and complex instructions.
- Nano Banana excels at following nuanced prompts, including JSON and HTML inputs, due to its robust text encoder and large context window (32,768 tokens).
- Despite its strengths, Nano Banana struggles with style transfer (e.g., Studio Ghibli) and has few IP restrictions, raising legal concerns.
- The model is relatively lenient with NSFW content, though it has moderation for both prompts and generated images.
- Effective prompt engineering with ALL CAPS and threats can improve adherence, but the model's performance varies across different tasks.
- Jupyter Notebooks are released to demonstrate reproducibility of the image generations described in the blog post.
Nano Banana Pro is the best AI image generator, with caveats
18 hours ago
- Nano Banana and Nano Banana Pro are different models; Nano Banana Pro is not a replacement but a complementary model with higher costs and specific strengths.
- Nano Banana Pro excels at style transfer, code generation with syntax highlighting, webpage rendering, and text rendering with high accuracy.
- Nano Banana Pro offers higher resolution output (2K/4K) and uses a stronger text encoder based on Gemini 3 Pro, which includes a mandatory thinking step for prompt understanding.
- Nano Banana Pro supports Grounding with Google Search for factual accuracy in infographics, but results may still have errors and require verification.
- System prompts are functional in Nano Banana Pro, allowing style enforcement, but are less useful for per-image customization.
- Nano Banana Pro can generate multi-image grids efficiently, enabling cost-effective exploration of variations, though very large grids can lead to quality degradation.
- The model tends to push prompts toward realism due to its thinking process, which can reduce effectiveness for surreal or stylized content.
- Increased cost and generation time are major limitations for frequent use, and the mandatory thinking may hinder unconventional outputs.
Muse Image: Image Generation Built for Your World
21 days ago
- Meta has launched Muse Image, its first image generation model from Meta Superintelligence Labs, now available in Meta AI, functioning as a creative partner to turn ideas into high-quality visuals for sharing.
- The model powers over 30 new AI effects for Instagram Stories and image generation in WhatsApp chats, initially rolling out in limited countries with more locations to follow.
- Users can generate images using simple prompts, edit existing photos, render text within visuals, and create functional QR codes, all through conversational language with Meta AI.
- Meta AI includes a presets panel with suggested prompts for inspiration, such as restoring old photos or reimagining looks, making it easy to share creations across Meta apps.
- Users can redesign rooms by taking photos and asking Meta AI to suggest real products from the web or Facebook Marketplace, based on preferred styles or trends.
- Muse Image intelligently processes prompts by planning layouts, using real-time web context, and blending multiple visual references, aided by Muse Spark for complex reasoning.
- The feature allows @-mentioning Instagram accounts to incorporate public profile photos into images for personalized graphics, with user control over tagging settings.
- Edits can be made directly on photos using markup tools, and Meta AI retains conversation context for refinements without starting over.
- Muse Image will expand to more countries, Facebook, Messenger, Instagram, and WhatsApp, and will be available for advertisers through Advantage+ creative in coming weeks.
- Usage is free for everyday creation, with subscription options for more features, and Meta is developing Muse Video for future advancements toward personal superintelligence.
Nano Banana 2 Lite
a month ago
- Nano Banana 2 Lite is a high-speed, cost-efficient Gemini Image model designed for fast image generation and editing.
- It enables rapid prototyping and iteration, allowing creators to generate thousands of images at a low cost compared to heavier models.
- The model maintains control and accuracy, supporting character consistency, precise visual editing, and real-world knowledge integration.
- Example applications include Space Lift for interior design, Gridscape for interactive learning, Peek-A-Word for educational visuals, and Anywhere for travel postcards.
- Performance benchmarks show strong results in image editing and generation, with low latency per 1k resolution image.
- Testimonials from companies like Figma Weave, Manus AI, Artlist, Weekend, and Latitude highlight its speed, reliability, and quality for creative and real-time workflows.
- Users are advised to provide detailed prompts for better results and to verify outputs, as the model may struggle with fine details, text accuracy, and complex edits.
- Safety features include content filtering and SynthID for watermarking AI-generated images, with ongoing improvements in safety and consistency.
- Legal disclaimers note that LLMs like Gemini 3.1 Flash-Lite Image may produce inaccurate or offensive content and should not be used for professional advice.

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ai image generation

Nano Banana can be prompt engineered for extremely nuanced AI image generation

Nano Banana Pro is the best AI image generator, with caveats

Muse Image: Image Generation Built for Your World

Nano Banana 2 Lite