Bria FIBO: Next-Generation Text-to-Image Model

What is Bria FIBO?

Bria FIBO is an advanced AI image generation model designed for photorealistic, high-quality visuals with exceptional prompt accuracy and creative control. Unlike traditional text-to-image models, FIBO uses a two-stage architecture: a Visual Language Model (VLM) Bridge translates natural language or structured JSON prompts into detailed machine-readable instructions, which the FIBO model then uses to generate images. This approach delivers professional-grade results ideal for commercial workflows, marketing campaigns, and scalable content production. FIBO supports Gemini 2.5 Flash for state-of-the-art prompt understanding, with an open-source FIBO-VLM option coming soon for flexible deployments.

Key Features

• Structured JSON Prompts: Achieve precise control over image details using JSON-formatted instructions alongside natural language prompts.
• Dual-Stage Generation: VLM Bridge ensures prompts are interpreted accurately before image creation, reducing ambiguity.
• Image-Inspired Workflows: Refine existing images by providing input URLs for iterative design improvements.
• Aspect Ratio Flexibility: Generate images in nine preset ratios (1:1, 16:9, 9:16, etc.) for diverse use cases.
• Built-In Content Moderation: Multi-layer safeguards block inappropriate prompts, input images, and outputs, ensuring brand-safe results.
• IP Signal Alerts: Optional warnings for potential intellectual property conflicts, useful for risk-aware production environments.

Best Use Cases

FIBO excels in scenarios requiring photorealism, consistency, and legal compliance:

• Marketing and Advertising: Create campaign visuals, product mockups, and hero images with brand-appropriate styling.
• E-commerce: Generate lifestyle photos, product variations, and seasonal assets at scale.
• Media and Publishing: Produce editorial illustrations, book covers, and social media graphics.
• Enterprise Creative Teams: Streamline workflows with repeatable seeds, structured prompts, and refinement capabilities.

Prompt Tips and Output Quality

Writing Effective Prompts:

• Use clear, descriptive language: "A minimalist living room with natural light, beige tones, and indoor plants" outperforms vague instructions.
• Leverage negative prompts to exclude unwanted elements (e.g., "No shadows" or "No text overlays").
• Experiment with structured prompts (JSON) for complex scenes requiring specific object placement, lighting, or composition.

Parameter Impact:

• Guidance Scale (3–5): Higher values (e.g., 5) increase prompt adherence but may reduce creative variation. Start at 4 for balanced results.
• Steps Number (20–50): More steps (e.g., 40+) produce smoother, more refined images but increase generation time.
• Seed: Use consistent seeds for reproducibility across iterations or variations.
• Aspect Ratio: Match output dimensions to your platform (16:9 for web banners, 4:5 for Instagram).

FAQs

Is Bria FIBO open-source?
No, FIBO is a commercial model accessed via API. However, an open-source FIBO-VLM option is planned for flexible deployments.

How does FIBO differ from other text-to-image models?
FIBO's dual-stage architecture (VLM Bridge + image generation) ensures superior prompt accuracy and supports structured JSON inputs for granular control, making it ideal for professional workflows.

What parameters should I tweak for best results?
Focus on guidance_scale (4–5 for detail), steps_num (40+ for quality), and negative_prompt (to exclude unwanted elements). Use seed for repeatable outputs.

Can I refine existing images?
Yes. Provide an image URL via the image_urls parameter to iterate on existing visuals.

What is IP Signal, and should I enable it?
IP Signal warns about potential intellectual property conflicts. Enable it (ip_signal: true) for risk-aware commercial projects.

Does FIBO support content moderation?
Yes. FIBO includes moderation for prompts, input images, and outputs by default, ensuring brand-safe content.