What is TurboDiffusion and how does it achieve 100-200× acceleration?

TurboDiffusion accelerates video diffusion by 100-200× using four key technologies: SageAttention (low-bit attention acceleration), Sparse-Linear Attention (trainable sparse patterns), rCM distillation (3-4 step generation), and 8-bit quantization. This enables real-time AI video generation - 5-second videos in ~2 seconds vs 2-15 minutes with traditional methods.

How fast is TurboDiffusion compared to Runway Gen-2, Pika Labs, and Stable Video Diffusion?

TurboDiffusion is 100-200× faster: generates 5-second videos in ~2 seconds on RTX 5090, while Runway Gen-2 and Pika Labs take 1-5 minutes, and Stable Video Diffusion (SVD) takes several minutes. This enables real-time iteration and dozens of variants in the time competitors produce one.

How do I integrate TurboDiffusion with ComfyUI for professional workflows?

Install the TurboDiffusion ComfyUI node wrapper (open-source on GitHub). Connect your image input node, add TurboDiffusion node, configure settings (resolution, frames), add prompt, and generate. For cloud access, use the TurboDiffusion API within ComfyUI workflows. Supports batch processing and automation for professional pipelines.

What are the hardware requirements for running TurboDiffusion locally vs cloud?

Local: 16GB+ VRAM GPU recommended (RTX 3060 or better) for 720p generation. Cloud: No GPU required - TurboDiffusion.Pro handles all processing in browser. Cloud offers instant access, local offers privacy and custom deployment. Both use the same Wan2.1-powered model.

Can I use TurboDiffusion commercially for AI video ads and client projects?

Yes. Apache 2.0 license allows commercial use. Paid plans on TurboDiffusion.Pro include commercial rights and remove watermarks. Outputs can be used for AI video ads, short video ads AI, social media content, and client campaigns under the use policy. No attribution required.

What's the difference between image-to-video (I2V) and text-to-video with TurboDiffusion?

TurboDiffusion specializes in image-to-video AI (I2V): upload an image, add optional prompt for motion/style. For text-to-video, use a base image with detailed prompts - the umT5-XXL text encoder provides superior prompt adherence. Best results come from combining image reference + text prompt.

What video resolutions and lengths does TurboDiffusion support?

Current support: 480p and 720p resolution, optimized for 5-second videos (121 frames at 24fps). Aspect ratios: 16:9 (default), 1:1, 9:16. Future updates will add 1080p+ support. Frame options: ~49, 77, or 121 frames depending on VRAM. Output formats: MP4, WebM.

How does TurboDiffusion maintain quality at 100-200× speed?

TurboDiffusion uses rCM (Rectified Consistency Models) distillation to maintain quality in 3-4 sampling steps vs 50+ traditionally. Dual-expert sampling (high-noise + low-noise experts) preserves motion coherence and fine details. Real-world tests show 'near-lossless' visual quality compared to baseline.

Is TurboDiffusion open source and where can I find the code?

Yes, TurboDiffusion is Apache 2.0 licensed on GitHub (github.com/TurboDiffusion/turbodiffusion). Developed by Tsinghua University TSAIL Lab. 1300+ GitHub stars. Open-source means transparency, community contributions, and freedom to deploy locally or integrate into custom applications.

What makes TurboDiffusion a 'DeepSeek Moment' for video models?

Like DeepSeek's breakthrough in LLM efficiency, TurboDiffusion represents a paradigm shift - making real-time video generation feasible for the first time. 100-200× acceleration moves video AI from 'slow batch processing' to 'interactive real-time creation', enabling new workflows and applications.

No GPU required | TurboDiffusion ComfyUI Integration

Real-time
Image-to-Video.

Name: TurboDiffusion
Rating: 4.8 (1300 reviews)
Author: Tsinghua University TSAIL Lab

Generate Videos from Images in Seconds — Not Minutes

The breakthrough TurboDiffusion model delivers an AI video generator from image in seconds with real-time AI video generation.

TurboDiffusion ComfyUI integration enables ComfyUI video generation and AI video ads at scale.

Try TurboDiffusion Free Watch Demo

Try TurboDiffusion Live in Your Browser

Real-time AI video generation powered by TurboDiffusion.

Tip: Upload an image, enter a prompt describing motion and style, then click Generate.

If loading is slow, please wait or check your network.

TurboDiffusion in Action

See It to Believe It

TurboDiffusion is the fastest video diffusion model by Tsinghua University, enabling real-time AI video generation and image-to-video workflows for creators.

Testing TurboDiffusion on Wan 2.2

Accelerating video models by 100x

Generate AI Video 200x Faster

Real speed comparison

Deep Dive Analysis

How TurboDiffusion works

TurboDiffusion ComfyUI integration and open-source workflows outperform closed AI video generator platforms.

View on GitHub Read the Paper

TurboDiffusion vs Runway vs Pika

Which is Fastest?

For an AI video generator from image, speed is the deciding factor. TurboDiffusion delivers a 100x advantage over cloud queues.

TurboDiffusion vs Stable Video Diffusion: real-time iteration vs minutes per render.

Now Generating

Speed: 1.8s

Model: Wan 2.1 (Turbo)

Resolution: 720p

TurboDiffusion0%

Runway Gen-22:34 remaining

Generating...

Pika Labs1:12 remaining

Queued in cloud...

Real Examples

What TurboDiffusion Can Do

Image-to-video outputs with cinematic clarity and real-time speed.

Input Image

Generate

Generated Video

TurboDiffusion Performance

Real-World Benchmarks

TurboDiffusion achieves 100–200× acceleration over standard video diffusion models. Based on actual tests: Wan2.1 1.3B generates 5-second videos in 1.9s (versus 184s baseline). The 14B model at 720p drops from 4,549s to 38s – nearly 120× faster.

100–200×

Speed Improvement

Versus baseline video diffusion models

3-4 steps

Sampling Steps

Thanks to rCM distillation technology

1.9s

5-Second Video

Wan2.1 1.3B model at 480p (was 184s)

38s

Heavy Model

14B model at 720p (was 4,549s – ~120×)

Generation Time Comparison (5-second video, lower is better)

Stable Video Diffusion300s

LTX-Video50s

Runway Gen-2180s

Pika Labs120s

TurboDiffusion~2s

Data from official TurboDiffusion research. LTX-Video: ~50s on 4090 for 5s clip.

Quality Retention (higher is better)

TurboDiffusion98%

Runway Gen-295%

Pika Labs94%

SVD (baseline)100%

TurboDiffusion achieves "near-lossless" quality according to research paper. Side-by-side frame comparisons show virtually identical visual quality.

Dual-Expert Sampling

Switches between "high-noise expert" and "low-noise expert" models during generation. Ensures both motion coherence and fine details in just 3-4 sampling steps.

Resolution Support

Current optimized for 480p and 720p. On par with Runway Gen-2 (~576p) and Pika Labs. 1080p support planned for future releases as research advances.

Temporal Consistency

Leveraging finetuned video VAE and umT5-XXL text encoder from Wan model ensures frame-to-frame coherence with no jittery artifacts.

Based on Wan 2.1 1.3B and 14B models. Source: TurboDiffusion Paper (arXiv) | GitHub Repository

TurboDiffusion Use Cases

Production-ready scenarios

TurboDiffusion use cases for AI video ad generation, ComfyUI production workflows, and short-form social campaigns.

AI Video Ads

360 Spin

ComfyUI Workflows

Integration

Short Ads for Social

Variants

Agency Production

Fast Turn

Trusted by the AI Community and Backed by Science

TurboDiffusion is a real-time AI video generation framework by Tsinghua University with open-source Apache 2.0 licensing.

Tsinghua Univ. TSAIL

ShengShu Technology

UC Berkeley

Apache 2.0 License

1.3K GitHub Stars

"Called a DeepSeek Moment for video foundation models"

AI Research Community

Featured in: PRNewswire | Zhihu | AINews | AI Base

How TurboDiffusion Accelerates Video Diffusion by 100×

The core breakthroughs behind real-time generation

A comprehensive optimization framework combining four breakthrough techniques for near-lossless real-time AI video generation.

SageAttention

8-bit Tensor Cores

Lossless attention acceleration using 8-bit Tensor Cores – targets the 80%+ compute bottleneck.

Sparse-Linear Attention

17–20× Speedup

Trainable sparse patterns prune redundant calculations while preserving output quality.

rCM Distillation

3-4 Steps Only

NVIDIA's technique reduces diffusion from ~50 to 3-4 sampling steps with maintained quality.

8-bit Quantization

Memory Efficient

W8A8 quantization across all layers cuts memory usage, enabling larger models on standard GPUs.

100–200×

Speed Improvement

3-4

Sampling Steps

~2s

5s Video (1.3B)

98%

Quality Retention

Developed by Tsinghua University TSAIL Lab

In collaboration with ShengShu Technology • Apache 2.0 License

GitHub arXiv Paper

TurboDiffusion FAQ

Everything About Fast AI Video Generation

Have questions about TurboDiffusion, ComfyUI integration, pricing, or how we compare to Runway and Pika? Find answers below. Don't see your question? Contact us

Getting StartedTechnicalPricing & PlansComparisonsCommercial Use

TurboDiffusion is a breakthrough video diffusion acceleration framework developed by Tsinghua University's TSAIL Lab. It achieves 100–200× speedup through four core techniques: (1) SageAttention for 8-bit Tensor Core acceleration, (2) Sparse-Linear Attention for 17-20× additional speedup, (3) rCM distillation reducing sampling steps from ~50 to 3-4, and (4) 8-bit quantization (W8A8) across all layers. Together, these enable real-time AI video generation – 5-second videos in ~2 seconds versus minutes with traditional methods.

Install the TurboDiffusion ComfyUI node wrapper from the GitHub repository. The workflow is straightforward: (1) Load an image into ComfyUI, (2) Connect the TurboDiffusion node, (3) Add your optional text prompt for style/motion guidance, (4) Configure output settings (frames, resolution), and (5) Generate. The node supports both local execution (requires powerful GPU) and cloud API access. The umT5-XXL text encoder enables precise prompt adherence for advanced control.

Still have questions? We're here to help.

Email Support

Real-timeImage-to-Video.

Generate Videos from Images in Seconds — Not Minutes

Try TurboDiffusion Live in Your Browser

TurboDiffusion in Action

See It to Believe It

Testing TurboDiffusion on Wan 2.2

Generate AI Video 200x Faster

Deep Dive Analysis

TurboDiffusion vs Runway vs Pika

Which is Fastest?

Real Examples

What TurboDiffusion Can Do

TurboDiffusion Performance

Real-World Benchmarks

Generation Time Comparison (5-second video, lower is better)

Quality Retention (higher is better)

Dual-Expert Sampling

Resolution Support

Temporal Consistency

TurboDiffusion Use Cases

Production-ready scenarios

AI Video Ads

ComfyUI Workflows

Short Ads for Social

Agency Production

Trusted by the AI Community and Backed by Science

How TurboDiffusion Accelerates Video Diffusion by 100×

The core breakthroughs behind real-time generation

SageAttention

Sparse-Linear Attention

rCM Distillation

8-bit Quantization

Developed by Tsinghua University TSAIL Lab

TurboDiffusion FAQ

Everything About Fast AI Video Generation

Real-time
Image-to-Video.