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.

Coming Soon

Faster. Cheaper. Batch Image-to-Video at Scale.

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

TurboDiffusion is launching a new batch video generation pipeline that delivers cinematic results in seconds, with pricing that makes large volume production finally accessible.

Early access is limited. Join the waitlist to get priority access when we launch.

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