FIBO Continuity Engine

AI-powered visual consistency tool using FIBO's disentangled prompts to generate multi-angle character turnarounds, product shots, and storyboards with perfect identity preservation across all frames.

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🎬 FIBO Continuity Engine

One-Click Perfectly Consistent Multi-Frame Generator

🧠 Inspiration

Every AI artist, game developer, and content creator knows the pain: you generate a perfect character in one frame, but the moment you try to create additional angles or poses, the AI produces a completely different person. Hair color changes, facial features morph, clothing transforms — visual consistency is the #1 unsolved problem in AI image generation.

When we discovered BRIA’s FIBO (Factorized Image-to-Image) model and its revolutionary disentangled prompting capability, we knew this was the breakthrough the creative industry needed. FIBO’s structured_prompt allows locking a character’s identity while modifying only camera parameters — keeping everything else pixel-perfect consistent.

We built FIBO Continuity Engine to unlock this power for everyone.

🚀 What It Does

FIBO Continuity Engine is a professional-grade web application that generates perfectly consistent multi-angle image sequences using BRIA’s FIBO API.

🎯 Core Features

  • One-click character turnarounds (Front → 3/4 Side → 3/4 Back → Back)
  • Product 360° image sequences for e-commerce
  • Cinematic storyboard generation
  • Expression sheet generation (same character, different emotions)
  • Precise camera controls (angle, height, FOV, framing)
  • Preview → approve → generate workflow
  • Real-time consistency analysis using color and structure

🔑 The Secret Sauce: Disentangled Generation

FIBO separates identity from camera parameters.

First generation:

  • Generate base image
  • Extract structured_prompt (character identity)

Subsequent generations:

  • Reuse the same structured_prompt
  • Modify only camera angle
  • Lock the same seed
  • Apply strict negative prompts

Example flow (conceptual):

const result = generate(basePrompt, seed) const identity = result.structured_prompt

for each angle: generate( "Camera at X degrees. Keep identical character.", seed, identity )

🎨 Enhanced Prompt Engineering

We built an advanced prompt enhancement system including:

Camera Control

  • 48 angle-specific camera descriptions for precise rotation control

Visual Style Presets

  • Photorealistic
  • Cinematic
  • Anime
  • Concept Art
  • 3D Render
  • Product

Lighting Modes

  • Natural
  • Golden Hour
  • Studio
  • Dramatic
  • Neon
  • Moonlight
  • Soft Ambient
  • High Contrast

Negative Prompts Prevent

  • Character identity drift
  • Clothing changes
  • Style inconsistency
  • Incorrect camera angles

⚠️ Challenges We Ran Into

🔴 Challenge 1: Back Views Showing Front Faces

Problem: AI models strongly bias toward front-facing images even when asked for back views.

Solution: Aggressive redundant prompting:

  • BACK VIEW ONLY
  • Subject facing away from camera
  • Camera positioned behind subject
  • Do not show face

Negative prompts: front view, face visible, eyes visible, looking at camera

🔴 Challenge 2: Clothing Inconsistency on Back Views

Problem: Back views sometimes produced open-back or altered clothing.

Solution: Explicit clothing locking:

  • Same clothing fully closed on back
  • Identical outfit from behind

Negative prompts: backless, open back, exposed back, bare back, cutout

🔴 Challenge 3: Structured Prompt Format Variations

Problem: Structured prompt returned as string or JSON depending on request.

Solution: Flexible parser that safely handles both formats and updates camera parameters without breaking identity.

🔴 Challenge 4: UI Responsiveness During Generation

Problem: Multi-shot generation can take 30+ seconds.

Solution:

  • Per-shot progress indicators
  • Animated progress bars
  • Real-time completion notifications

🏆 Accomplishments We’re Proud Of

  • Production-ready application (not a demo)
  • 90%+ consistency scores across frames
  • One-click workflows (8 angles in under 2 minutes)
  • Multi-provider AI support
  • Export-ready assets for production pipelines

📚 What We Learned

  • Disentangled prompting is the future of AI consistency
  • Negative prompts are as important as positive prompts
  • Seed locking alone is not enough
  • Camera terminology must be explicit
  • Visual feedback dramatically improves UX

🔮 What’s Next

  • Reference image upload
  • Video interpolation from angle sequences
  • Animation frame generation (walk cycles, expressions)
  • Team collaboration and shared presets
  • Public API access
  • Batch processing for multiple characters

🌐 Try It Now

Live Demo: https://fibo-continuity-engine.vercel.app/app

GitHub: https://github.com/Abhishekgoyal007/FIBO-Continuity-Engine

Built with ❤️ for the FIBO Hackathon

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