StreamDiffusionTD
Key Features
- Real-time Generation: StreamDiffusion img2img / controlnet / v2v
- Local & Cloud: Run locally or use Daydream cloud backend
- ControlNet: Use in2 for ControlNet (Daydream uses in1)
- V2V Temporal Consistency: Smoother video-to-video output
- TensorRT Acceleration: Even faster performance on supported GPUs
Quick Start
- Install StreamDiffusionTD - Setup for local or cloud
- Usage Examples - Essential workflows
- Key Parameters - Core settings reference
System Requirements
Local Mode
- OS: Windows 10/11, macOS (Apple Silicon)
- GPU: NVIDIA with 6GB+ VRAM (RTX 3060+)
- CUDA: 12.1 recommended (12.x supported, 5090/5080 with 12.8)
- Python: 3.11.9
Daydream Cloud Mode
- Python: 3.11.9
- FFmpeg: Required for video processing
Version Information
Current Version: 0.2.99
- Daydream cloud backend support
- RTX 5090/5080 compatibility (limited)
- Enhanced Mac installation
- Feedback loop toggle
Download
Available on Patreon for supporters.