🎬 video

RAIN

RAIN is a real-time animated unlimited video streaming technology.

#AI technology
#high quality
#low latency
#real time animation
#video streaming
RAIN

Product Details

RAIN is a real-time animation unlimited video streaming technology that enables high-quality, low-latency real-time animation on consumer-grade devices. It generates video frames at faster speeds and with lower latency while maintaining video stream coherence by efficiently computing attention on frame markers at different noise levels and long intervals while denoising more frame markers than previous streaming methods. RAIN only introduces a small number of additional 1D attention blocks, which puts less burden on the system. This technology is expected to be combined with CG in fields such as game rendering, live broadcast and virtual reality, using the generalization capabilities of AI to render countless new scenes and objects, and provide a more interactive way of participation.

Main Features

1
Ability to animate unlimited video streams in real time on a single RTX 4090 GPU with low latency
2
Use LCM Distillation to accelerate the UNet model and use TAESDV as the VAE decoder
3
Accelerated by TensorRT, the general running speed is 18fps and the delay is about 1.5 seconds.
4
Supports generating unlimited length videos, maintaining long-term attention and enhancing coherence and consistency
5
After fine-tuning the Stable Diffusion model, high-quality video streams can be generated in real time with low latency.
6
Demonstrated better quality, accuracy and consistency than competing products on benchmark datasets and very long video generation

How to Use

1
1. Obtain the RAIN model and related code, which can be downloaded through the GitHub link provided by the project.
2
2. Prepare the required hardware devices, such as RTX 4090 GPU, and the corresponding software environment
3
3. Use LCM Distillation to accelerate the UNet model and configure TAESDV as the VAE decoder
4
4. Use TensorRT to accelerate and optimize model running performance
5
5. Input the video stream to be animated into the model, and the model will process it according to the set noise level and time interval.
6
6. Real-time output animation effects, you can view sample effects through the video link provided by the project
7
7. Fine-tune the model as needed to suit specific animation styles or application scenarios

Target Users

The target audience is users who need to create real-time video animations on consumer-grade devices, such as game developers, video content creators, live broadcast anchors, etc. These users can use RAIN technology to achieve efficient and smooth real-time animation effects without sacrificing quality, improving the attractiveness and interactivity of the content.

Examples

On the UBC-Fashion data set, high-quality full-body animation can be generated in real time with only 500 video clips for training.

Map the expressions and head positions of real faces to anime faces to achieve cross-domain facial deformation animation

During game live broadcasts, character animations are generated in real time to improve the audience’s viewing experience.

Quick Access

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Categories

🎬 video
› video generation
› game generation

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