FIBO: The First JSON-Native, Open-Source Text-to-Image Model Built for Real-World Control and Accuracy

The world of generative AI has evolved rapidly with text-to-image tools enabling creators, marketers, designers and enterprises to bring ideas to life with unprecedented ease. However, most existing models have a clear limitation: they prioritize imagination at the cost of control. Whether producing inconsistent styles, unpredictable lighting or drifting away from user prompts, traditional models struggle when precise and repeatable outputs are required.

Enter FIBO, the first open-source, JSON-native text-to-image model specifically engineered for consistency, controllability and safe real-world deployment. Unlike traditional diffusion models trained on short creative prompts, FIBO learns from long-form structured captions and professional data, enabling detailed creative direction, reproducible results and legally-compliant content creation. With an 8B-parameter architecture, licensed dataset training and professional-workflow-ready design, FIBO is redefining how controlled image generation works.

What Makes FIBO Different?

JSON-Native Structured Prompting

FIBO introduces a new paradigm: structured JSON prompts instead of loosely formatted text. Instead of vague creative sentences, FIBO expects clear instruction blocks covering:

Camera angle
Lens settings
Lighting style
Composition
Color palette
Depth-of-field
Scene intent and tone

This structured input format prevents prompt drift, making it ideal for design workflows, creative teams and enterprise environments where precision matters.

Built for Professional Creative Control

Most text-to-image models prioritize storytelling and freestyle creativity. FIBO, however, is engineered for production-grade applications allowing users to modify a single visual attribute without breaking the image.

For example, users can refine prompts like:

Increase warmth in skin tones
Switch lighting to golden hour
Change lens to 85mm shallow depth of field
Make background darker without altering subject

This fine-grained disentanglement helps artists iterate reliably, turning inspiration into pixel-perfect output.

Key Features of FIBO

Vision-Language-Model Assisted Prompt Expansion

Even beginners can generate professional output thanks to FIBO’s VLM-powered prompt expansion. Users can input a short prompt and FIBO transforms it into a detailed, structured JSON description automatically.

Iterative and Controlled Refinement

FIBO allows creative back-and-forth refinement without losing structure. You can take a generated image, tweak one field in the JSON and get a refined result that follows your request precisely.

Inspire from Images

Upload an image and FIBO extracts structured metadata that represents its style and settings. This enables style transfer and inspiration-driven generation while preserving originality and avoiding copying.

Fully Licensed Data and Legal Safety

It was trained on licensed, traceable data to meet enterprise governance requirements. For businesses subject to GDPR and AI regulation, this eliminates legal and compliance concerns associated with traditional AI training sets.

High Prompt Adherence

FIBO shows strong performance on PRISM-style benchmarks, demonstrating tight alignment between user instructions and final visuals. This makes it ideal for commercial workflows where accuracy matters.

Technology Behind FIBO

It leverages an 8B-parameter DiT-based architecture with flow-matching and a novel DimFusion conditioning pipeline optimized for long JSON supervision. It pairs:

SmolLM3-3B as the text encoder
Wan 2.2 as the VAE
Qwen-2.5-based VLM or Gemini 2.5 Flash for structured prompt extraction

This hybrid approach dramatically improves adherence, consistency and control compared to conventional prompt engineering.

Productivity Modes: Generate, Refine, Inspire

Generate

Convert a short idea into a detailed structured prompt and image.

Refine

Modify specific scene components without rewriting everything.

Inspire

Upload an image and let FIBO extract attributes, then remix or evolve the concept.

These modes enable workflows similar to professional design software but powered by generative AI.

Ease of Use and Deployment

FIBO is available through:

Bria Platform API
Fal.ai
Replicate
ComfyUI nodes
Local inference

With dedicated Generate and Refine pipelines, developers and designers can build interactive applications quickly.

Why FIBO Matters ?

For Creatives

Finally, a model that responds accurately to your artistic intent and enables professional control.

For Enterprises

Licensed training data, auditability, and consistent output make FIBO safe for production deployment.

For Developers

Fully open-source, JSON-native architecture with configurable VLM pipelines offers flexibility and transparency.

For Responsible AI Advocates

It demonstrates that generative AI can be powerful, ethical, and legally compliant without sacrificing innovation.

Conclusion

It marks a major leap forward in text-to-image generation by combining structured prompting, enterprise responsibility and precise creative control. Instead of trading accuracy for imagination, it delivers both making it a powerful tool for brands, designers, AI developers and enterprises seeking repeatable, predictable and high-quality visual content.

In a landscape crowded with imaginative but inconsistent visual tools, FIBO stands out as a breakthrough solution built for real-world needs. As AI-driven creativity continues to expand, models like FIBO will lead the future: controlled, ethically grounded and capable of turning structured vision into flawless execution.

Follow us for cutting-edge updates in AI & explore the world of LLMs, deep learning, NLP and AI agents with us.

References

Github

Model Card