FIBO Command Center

AI Visual Production Suite with JSON-native control. Transforms natural language to FIBO parameters using GPT-4/Groq/Gemini. Includes HDR export, brand validation, and agentic workflows.

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Inspiration

Visual content creation often requires precise control over parameters like camera angles, lighting, and composition. FIBO's JSON-native architecture enables deterministic control, but translating creative intent into structured parameters remained a challenge. We built FIBO Command Center to bridge this gap with AI-powered translation and intelligent workflows.

What it does

FIBO Command Center provides 6 integrated features for visual production:

1. AI Prompt Translator

  • Converts natural language to FIBO JSON parameters
  • Supports 3 AI providers (GPT-4, Groq, Gemini)
  • Provides confidence scoring and reasoning
  • Detects intent, mood, and creative direction

2. Visual Parameter Editor

  • Interactive controls for camera angle, FOV, lighting, color palette, composition
  • Parameter locking and preset management
  • Real-time JSON preview and validation
  • Import/export workflows

3. HDR & 16-bit Export

  • 4 tone mapping algorithms (Reinhard, Filmic, ACES, Uncharted2)
  • Multiple color spaces (sRGB, DCI-P3, Rec.2020, Adobe RGB)
  • 8/16/32-bit depth support
  • Professional print-quality output

4. Brand Guidelines System

  • Automated brand compliance validation
  • Document parsing (PDF/DOC)
  • Compliance scoring with violation detection
  • Multi-brand management

5. Analytics Dashboard

  • A/B testing for parameter optimization
  • Quality score tracking
  • Performance metrics by category
  • AI-powered recommendations

6. ControlNet Studio

  • 6 preprocessing types (Canny, Depth, Normal, HED, Scribble, Pose)
  • Control strength adjustment
  • Multi-control composition

How we built it

Architecture:

  • Backend: FastAPI (Python 3.11) with async processing
  • Frontend: React 18 with Tailwind CSS
  • Database: PostgreSQL for persistence, Redis for caching
  • AI Integration: OpenAI, Groq, Google Gemini APIs
  • Image Processing: OpenCV, NumPy, Pillow

Key Technologies:

  • BRIA FIBO API for JSON-native generation
  • LangChain for AI orchestration
  • React Query for state management
  • Modern glassmorphism UI design

Workflow:

  1. Natural language input → AI translation → FIBO JSON
  2. Parameter validation and optimization
  3. Image generation with BRIA FIBO
  4. Post-processing (HDR/tone mapping)
  5. Quality analysis and storage

Challenges we ran into

  • Parameter Translation Accuracy: Mapping creative intent to precise JSON values required multiple AI models and confidence scoring
  • HDR Processing Pipeline: Implementing proper tone mapping while preserving image quality across different bit depths
  • Real-time Validation: Building fast brand compliance checks without slowing down generation workflows
  • Multi-AI Provider Support: Handling different API formats and rate limits while maintaining consistent results

Accomplishments that we're proud of

  • Generated 30 real production images across e-commerce, social media, and gaming
  • Implemented 3 free AI provider options (Groq and Gemini) for accessibility
  • Built complete HDR pipeline with 16-bit workflow and tone mapping
  • Created agentic workflows with AI-powered translation and optimization
  • Delivered production-ready code with comprehensive error handling and documentation

What we learned

  • FIBO's JSON-native approach provides true deterministic control compared to text prompts
  • Disentangled parameters (camera, lighting, composition) enable precise creative direction
  • Structured generation enables automated workflows impossible with traditional text-to-image
  • AI translation layers make advanced controls accessible to non-technical users
  • HDR and 16-bit support are crucial for visual production workflows

What's next for FIBO Command Center

  • Batch Processing: Queue system for high-volume generation
  • Workflow Templates: Pre-built JSON templates for common use cases
  • Advanced ControlNet: Multi-control composition and custom models
  • Team Collaboration: Shared presets and brand guidelines
  • API Integration: Webhook support for automated pipelines
  • Extended Analytics: Cost tracking and ROI analysis

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