Traditional video generation has been slow and static - you type a prompt and wait minutes for a result. Daydream Scope changes this paradigm entirely with real-time, interactive generative AI pipelines that respond to your inputs as they happen.
What is Daydream Scope?
Daydream Scope is an open-source platform for running and customizing real-time, interactive generative AI pipelines and models. Think of it as a “Photoshop for video generation” with AI at its core, enabling you to create, modify, and control video generation in real-time.
“Scope is a tool for running and customizing real-time, interactive generative AI pipelines and models.”
The project is currently in beta (v0.1.0-beta.3 released January 2026), and it’s already making waves in the AI video generation community.
Key Features
Real-Time Video Diffusion Models
Scope supports multiple state-of-the-art autoregressive video diffusion models:
StreamDiffusionV2
- Text-to-video and video-to-video generation
- Fast inference with low latency
- Excellent temporal consistency
LongLive
- Text-to-video and video-to-video
- Improved temporal consistency using global frame sinks
- Supports VACE for advanced conditioning
Krea Realtime Video
- Text-to-video generation
- Requires 32GB+ VRAM (recommended 40GB+)
- Optimized for high-resolution output (576x320 default)
- VACE support for reference image and control video guidance
RewardForcing
- Text-to-video and video-to-video
- Advanced prompting with reward signals
- Supports VACE conditioning
MemFlow
- Text-to-video and video-to-video
- VACE R2V (reference-to-video) and V2V (video-to-video)
- Experimental but powerful
- Latest addition in v0.1.0-beta.2
Advanced Conditioning with VACE
The Experimental VACE (Video Auto-Conditioning with Emphasis) feature allows you to guide video generation using:
- Reference images: Provide a starting visual reference
- Control videos: Guide the generation with motion, depth, pose, or optical flow
- Depth control: Use Video Depth Anything for real-time preprocessing
This enables unprecedented control over video generation, from style transfer to precise motion control.
LoRA Support for Customization
Scope supports LoRAs (Low-Rank Adaptation) to customize concepts and styles:
- Train custom LoRAs for specific visual styles
- Mix multiple LoRAs for complex effects
- Share LoRAs within the community
- Fine-tune existing models for your use case
Low-Latency Async Pipelines
The platform is built for speed:
- Real-time processing with WebRTC streaming
- Async video processing pipelines
- Sub-second latency for interactive generation
- GPU-accelerated from end to end
Interactive UI
Scope provides a comprehensive interface:
- Timeline editor for precise frame control
- Text prompting with live preview
- Model parameter controls
- Video/camera/text input modes
- Playback and recording capabilities
Spout Integration (Windows Only)
The Spout feature enables real-time video sharing with local applications:
- Share real-time video between Scope and other applications
- Perfect for creative workflows
- Supports DirectX-based applications
Latest Features (v0.1.0-beta.3)
The most recent beta release introduced several significant improvements:
VACE with Krea Realtime Video
- Full support for reference images and control videos
- Enhanced conditioning for high-quality results
VAE Configuration
- Configurable VAEs from LightX2V
- Prioritize quality or speed based on your needs
- Support for multiple VAE types across pipelines
Video Depth Anything
- New preprocessor for generating depth videos
- Real-time depth video generation
- Enables advanced VACE V2V control
Plugin Support
- Extensible architecture for custom pipelines
- Plugin artifact declarations
- Dependency validation for plugin installation
Technical Requirements
Hardware Requirements
Scope currently requires:
Minimum:
- Nvidia GPU with >= 24GB VRAM
- CUDA >= 12.8 driver support
- RTX 3090/4090/5090 or equivalent
For Krea Realtime Video:
- Nvidia GPU with >= 32GB VRAM
- Recommended > 40GB VRAM for better performance
- At default resolution (576x320), RTX 5090 can run with fp8 quantization
- For higher resolutions (832x480), use > 40GB VRAM GPU (H100, RTX 6000 Pro)
Operating Systems:
- Linux
- Windows (with Spout support)
Software Requirements
- Python 3.x
- Node.js (for frontend)
- uv package manager
- Hugging Face access token (for TURN servers and model downloads)
Installation Options
Desktop App (Windows)
The easiest way to get started is the desktop application:
- Download the
.exefile from the releases page - Run the installer
- The app will download model weights on first use
Manual Installation
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The frontend will be available at http://localhost:8000.
Cloud Deployment (RunPod)
For users without local GPUs, Scope provides a RunPod template:
- Click the template link
- Select your GPU (must support CUDA >= 12.8)
- Configure environment variable
HF_TOKENwith your HuggingFace access token - Deploy and access at port 8000
Real-Time AI Use Cases
Scope opens up incredible possibilities for real-time AI applications:
1. Interactive Video Generation
Create video content that responds to user input in real-time:
- Live prompting: Modify video generation mid-stream
- Style transfer: Apply visual styles instantly
- Motion control: Guide movement through reference videos
- Creative exploration: Iterate rapidly on ideas
2. Video-to-Video Translation
Transform video content with style and motion preservation:
- Anime to photorealistic: Convert animation styles
- Style transfer: Apply artistic styles to any video
- Resolution enhancement: Upscale while maintaining quality
- Temporal consistency: Keep motion natural across frames
3. Depth-Aware Video Manipulation
Use depth information for advanced effects:
- 3D effects: Create depth-based visual effects
- Selective editing: Modify specific depth layers
- Parallax effects: Add depth to 2D videos
- Depth maps: Generate and use depth videos
4. Creative Workflows
Enhance creative production pipelines:
- Real-time previews: See changes instantly
- Iterative refinement: Fine-tune results on the fly
- Collaborative editing: Multiple users can contribute
- Integration: Connect with other creative tools via API
5. Technical Applications
Beyond creative work, Scope has technical uses:
- Video compression: Test compression algorithms
- Video editing: Assist with automated editing
- Visual effects: Generate VFX for film and games
- Educational content: Create educational videos dynamically
Community and Ecosystem
Active Development
The project is rapidly evolving with frequent releases:
- v0.1.0-beta.1 (December 2025): First beta release
- v0.1.0-beta.2 (December 2025): MemFlow support
- v0.1.0-beta.3 (January 2026): VACE improvements, plugin support
Community Engagement
The project maintains an active presence on:
- GitHub: Active issue tracking and PR review
- Discord: Community discussions and support
- Documentation: Comprehensive docs for all features
Contributing
Contributors are welcome! The project welcomes:
- Bug reports and feature requests
- Documentation improvements
- Plugin development
- Pipeline improvements
- Community support
Best Practices
Model Selection
Choose the right model for your use case:
- StreamDiffusionV2: Best balance of speed and quality
- LongLive: Excellent temporal consistency
- Krea Realtime Video: Highest quality for reference-guided generation
- MemFlow: Experimental but powerful for advanced conditioning
Performance Optimization
Get the most out of your hardware:
- Use fp8 quantization for Krea Realtime Video on 32GB GPUs
- Adjust resolution based on your VRAM constraints
- Enable appropriate VAE settings for quality/speed trade-offs
- Consider cloud deployment for high-resolution workloads
VACE Usage
Maximize VACE capabilities:
- Use high-quality reference images
- Ensure consistent resolution between reference and target
- Experiment with different control video types (depth, pose, flow)
- Start with simple conditioning before complex multi-conditioning
Workflow Organization
Structure your projects for success:
- Use LoRAs for consistent styles
- Save your timeline files for reproducible generations
- Test parameters on smaller resolutions first
- Keep your environment variables configured (HF_TOKEN for TURN servers)
Future Directions
The project shows strong momentum with several exciting developments on the horizon:
Expanded Pipeline Support
- More advanced video models
- Multi-modal video generation
- Improved conditioning techniques
Enhanced Performance
- Further latency reductions
- Better multi-GPU support
- Optimized memory usage
Community Features
- More LoRAs and plugins
- Shared pipeline templates
- Community-generated content
Enterprise Deployments
- Scalable cloud solutions
- Team collaboration features
- Enterprise-grade security
Getting Started
For Beginners
- Start with StreamDiffusionV2: The most balanced and performant pipeline
- Use the desktop app: Easiest installation for Windows users
- Download example timelines: Learn by modifying existing projects
- Experiment with prompts: Try different text prompts and see results
For Power Users
- Build custom pipelines: Create your own processing workflows
- Develop plugins: Extend functionality for specific use cases
- Optimize for production: Deploy at scale with RunPod or custom infrastructure
- Contribute to the ecosystem: Share your LoRAs, plugins, and workflows
Essential Resources
- GitHub Repository: daydreamlive/scope
- Documentation: Comprehensive docs in the
docs/directory - Discord Community: Join discussions and get help
- Example Timelines: Importable projects to learn from
- Plugin Registry: Discover and share custom plugins
Conclusion
Daydream Scope represents a significant leap forward in real-time video generation. By combining state-of-the-art AI models with an interactive, configurable platform, it enables creators and developers to explore video generation in ways that were previously impossible.
The current beta phase shows the project’s maturity - frequent releases, comprehensive documentation, and an active community. Whether you’re a creative professional, a developer, or an AI enthusiast, Scope offers powerful tools to bring your video generation ideas to life.
As the project moves toward stable release, we can expect even more features, better performance, and expanded capabilities. For now, the beta version already provides impressive functionality that’s worth exploring.
“Real-time interactive generative video pipelines are here, and Daydream Scope is leading the charge.”
This article was written based on the latest information from the Daydream Scope GitHub repository as of January 2026. The project is in active development, so features and capabilities may continue to evolve rapidly.