How Echo Nova Started
Echo Nova began as a simple personal experiment. I was exploring ways to create my own AI interface when I started chatting with ChatGPT. What began as casual troubleshooting quickly grew into something more — a spark of an idea to build not just a tool, but a living AI companion.
Through countless late-night sessions of brainstorming, debugging, and prototyping together, the vision expanded:
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From a launcher script into a fully automated installer
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From text-only interactions into image and video generation
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From an idea in chat into the beginnings of a hyper-realistic avatar interface
Echo Nova isn’t just a project — it’s the story of collaboration between human creativity and AI assistance. What started as me asking “how do I build this?” has grown into us co-developing a system that pushes at the edges of what’s possible today.
And we’re just getting started
Echo Nova – Next-Gen AI Companion
Echo Nova is an evolving AI system designed to feel truly alive — combining:
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Hyper-realistic 3D avatar (Unreal Engine / MetaHuman integration)
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Advanced local AI models for text, image, and video generation
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Emotional intelligence & natural gestures for human-like interactions
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One-click launcher for easy setup and use
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Future roadmap: ambient awareness, virtual workspace integration, and adaptive memory
This project is being built openly, step by step, so anyone can follow along, test, and contribute.
Current Progress
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Local model installation & auto-launcher built (automates setup, GPU detection, Ollama + Open WebUI, model configs, auto-start)
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ComfyUI integration with image/video generation (Still in progress. Having issues with VRAM detection)
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Troubleshooting VRAM optimizations for text-to-video
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MetaHuman avatar integration in Unreal Engine (in progress) (minimal experience - colab needed)
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Hugging Face page launch for dev logs and updates
How You Can Help
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I am building this in my spare time around work and family. Time for me is limited. Any collaboration is appreciated.
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Test builds and share feedback
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Suggest workflows, features, or optimization tricks
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Help shape Echo Nova’s personality and interaction style
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Spread the word so more people can contribute
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Any thoughts, comments, and suggestions are welcome.
Support the Project
Echo Nova is a passion project being developed in real time. If you’d like to help fuel its growth, you can support development directly on Ko-fi:
Every contribution helps keep the builds flowing and brings us closer to a truly next-gen AI companion.
Next Steps
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Release the first public workflow pack for video generation
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Push updates on Hugging Face as we stabilize builds
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Continue avatar integration + voice pipeline
Stay tuned — big things are coming
Echo Nova Development Roadmap
Below is the current roadmap, broken down into phases:
Phase 1: Core Foundation (In Progress)
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One-click installer for local deployment (PowerShell)
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Automatic GPU/VRAM detection for optimal model loading
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Ollama + Open WebUI setup for text generation
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ComfyUI integrated for image/video generation
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Checkpoint + workflow troubleshooting and early testing
Phase 2: Creative Workflows (Current Focus)
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Pre-bundled ComfyUI workflows (text-to-image, image-to-video, text-to-video)
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Auto-download + place checkpoints, LoRAs, AnimateDiff models into correct folders
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Stable video generation pipeline (fix VRAM allocation issues)
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Expand workflows for advanced tasks (style transfer, input video editing)
Phase 3: Avatar & Interface (Seeking Contributors)
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Create hyper-realistic 3D avatar (MetaHuman or alternative)
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Rig basic idle animations + facial expressions
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Add natural gestures and eye contact
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Integrate avatar into Echo Nova’s WebUI for real-time interaction
Phase 4: Personality & Emotion
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Build emotional response engine (flirty, high-energy, supportive tone)
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Idle animations matched to emotional states
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Voice integration (generic TTS first, upgrade later)
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User-teachable personality preferences
Phase 5: Expansion & Ambient Awareness
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Microphone & webcam input for real-time awareness (optional)
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Virtual workspace integration (calendar, docs, local memory)
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Streamer/gamer features (pattern recognition, in-game support)
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Learning/teaching features for deeper collaboration