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Get Started with Scope

Daydream Scope is an open-source tool for running and customizing real-time interactive generative AI pipelines and models. Watch this 10-minute walkthrough covering the main Scope features and how to get your first generation running:
Follow the steps below to install Scope and create your first generation.

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Prerequisites

For Desktop App or Local Installation:
  • NVIDIA GPU with ≥24GB VRAM (RTX 4090/5090 or similar)
  • CUDA 12.8+ drivers
  • Windows or Linux
No powerful GPU? Daydream Scope Cloud lets you run inference remotely - right from the app - without needing a local GPU. This means Mac users and anyone without a dedicated NVIDIA card can still use Scope. See the Remote Inference guide to get started.
For Cloud (RunPod):
  • RunPod account with credits
  • Similar GPU requirements apply to your instance selection

Full System Requirements

View detailed hardware specs, pipeline-specific VRAM needs, and software dependencies
Krea Realtime requires ≥32GB VRAM and uses the fp8 quantized model at that tier (e.g. RTX 5090). For higher resolutions without quantization, ≥40GB VRAM is recommended (e.g. H100, RTX 6000 Pro). A 24GB GPU like the RTX 4090 cannot run Krea Realtime - use LongLive or StreamDiffusion V2 instead.

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Step 1: Install Scope

Choose your installation method:
Best for: Windows users who want the easiest installation experience
The Daydream Scope desktop app is an Electron-based application that provides the simplest way to get Scope running on your Windows machine.

Download Daydream Scope for Windows

Download the latest Windows installer (.exe). This link always points to the most recent release.
1

Install the application

Run the downloaded .exe file and follow the standard Windows installation prompts.
2

Launch Scope

Once installed, launch Daydream Scope from your Start menu or desktop shortcut.
Visit the Daydream Scope releases page on GitHub. Select the release you want, expand the Assets section at the bottom, and download the file ending in .exe.

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Step 2: Your First Generation

Once Scope is running, open the interface at localhost:8000 (or your RunPod URL).

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Text-to-Video

The LongLive pipeline is pre-selected with a prompt describing a 3D animated panda walking through a park. Just hit play - you’ll see the generation running in real-time, frame by frame, with no render queue or progress bar. Stop the generation, try changing the prompt to something completely different, and hit play again:
  • “a dragon flying through clouds over a volcano”
  • “a robot walking on mars”
  • “an astronaut floating through a neon city”
The generation adapts in real-time - you’re steering it live, not queueing up renders.

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Video-to-Video

Now try switching the input mode from Text to Video. A looping cat test video is loaded by default. Hit play and watch the model transform the video based on your prompt while preserving its structure and motion. Experiment with different prompts to see how the same source video gets reinterpreted:
  • “a cow sitting in the grass”
  • “a fish sitting in the grass”
  • “a dragon sitting in the grass”
You can also use your webcam as a live input, load your own video file, or receive video from other applications via Spout (Windows only).

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Explore Community Projects

See what others are creating with Scope:

Realtime Camera Restyle

Live camera feed restyled in real-time using VACE on an iPad

Flower Transformation

A seeded case study exploring StreamDiffusion to Scope transition

Browse all community projects

Explore more creations, download timelines, and share your own work on the Daydream Community Hub

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Step 3: Next Steps

Now that you’re generating, here are some things to try:

Using LoRAs

Add style adapters to transform your generations - from photorealistic to Pixar with a single file

Using VACE

Guide generation with reference images and control videos for character consistency

Using Spout

Share real-time video with TouchDesigner, Unity, and other Windows applications

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Go Deeper

Ready to build programmatically? Scope exposes a powerful API for integration into your own applications.

API Reference

Set up the server, connect via WebRTC, and control generation in real-time

Pipelines

Explore each pipeline’s capabilities, parameters, and hardware requirements

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Supported Pipelines

Scope currently ships with five autoregressive video diffusion pipelines: StreamDiffusion V2, LongLive, Krea Realtime, RewardForcing, and MemFlow. Four run on 24GB GPUs, while Krea Realtime needs 32GB+ for its larger 14B model.

Pipelines Overview

Compare all pipelines - features, VRAM requirements, and use cases at a glance

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Step 4: Connect, Share & Contribute

Community Hub

Browse creations, download timelines, and share your work

Ask on Discord

Have questions or want to connect with others? Join our friendly community

Contribute on GitHub

Report issues, suggest features, or contribute code

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Troubleshooting

Run nvidia-smi and verify CUDA version is ≥ 12.8. Update your NVIDIA drivers if needed.
  • Ensure UV, Node.js, and npm are properly installed
  • Try clearing the cache: uv cache clean && uv run build
Install the Python development package:
# Debian/Ubuntu
sudo apt-get install python3-dev
  • Check your internet connection
  • Verify disk space in ~/.daydream-scope/models
  • Model downloads can be large - be patient on first run
  • Verify the instance is fully deployed in RunPod dashboard
  • Ensure you’re accessing port 8000
  • Check that HF_TOKEN is correctly set
  • Verify your HF_TOKEN is valid with read permissions
  • Try redeploying the instance with the correct token