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The Challenge
Image generation products often struggle with slow render times, confusing controls, and inconsistent results. The objective was to provide a simple UI with sensible defaults while still enabling advanced users to fine-tune outputs.
- Balancing quality vs latency on GPU-heavy workloads
- Providing consistent results across varying prompts and styles
- Designing a clean UX for both beginners and power users
- Managing generation queues and concurrent usage reliably
Our Solution
We built Animatrix as a modern generative image workflow: prompt → generate → iterate → export. The platform supports presets, history, and project organization to help users move from experimentation to production.
- Prompt builder with presets for common styles and use cases
- Generation history to compare iterations and reuse settings
- Queue-based job processing with progress feedback
- Export-ready outputs with common aspect ratios and formats
Challenges We Overcame
- Compute management: Optimizing GPU utilization and job scheduling
- Quality controls: Aligning outputs with user intent through better defaults and presets
- Performance: Keeping the UI responsive while long-running jobs execute
- Scalability: Ensuring the system can grow with increasing demand
Technology Stack
Stable Diffusion
Python
FastAPI
React
Docker
AWS
Results & Impact
- Faster creative iteration with a prompt → generate → refine loop
- Clear path from experimentation to shareable/exportable visuals
- Infrastructure foundations to scale generation workloads
- Consistent UX for both casual users and advanced creators
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