Diffusion-RWKV

An extensible diffusion model based on the RWKV architecture.

CommonProductImageDiffusion ModelRWKV

Diffusion-RWKV is a diffusion model based on the RWKV architecture, designed to improve the scalability of diffusion models. It has been optimized and improved for image generation tasks, and can generate high-quality images. The model supports both unconditional and class-conditional training, with good performance and scalability.

Unconditional Image Generation
Conditional Image Generation
Scalable RWKV Architecture
High-Quality Image Output

Image Generation

Train the DRWKV-H/2 model on the ImageNet dataset to generate high-quality images of 256x256 resolution.
Train the DRWKV-B/2 model on the CelebA dataset to generate unconditional images of 32x32 resolution.
Use the DRWKV-H/2 model to generate images containing specific categories
such as animals or vehicles.

Visit

Diffusion-RWKV Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

Diffusion-RWKV Visit Trend

Diffusion-RWKV Visit Geography

Diffusion-RWKV Traffic Sources

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