DPM++ 2m (Karras)

DPM++ 2M (Karras) is a recently developed diffusion model sampler that is able to generate high-quality images at a fast speed. It was developed by Tero Karras and his team at NVIDIA, and is based on their previous work on diffusion model samplers, such as DPM++.

DPM++ 2M (Karras) is able to generate images at a faster speed than previous diffusion model samplers by using a technique called score denoising. This technique involves using the gradient of the diffusion model to denoise the image at each step of the sampling process.

DPM++ 2M (Karras) is also able to generate higher-quality images than previous diffusion model samplers by using a larger model size and a more sophisticated training process.

Overall, DPM++ 2M (Karras) is a significant improvement over previous diffusion model samplers in terms of both speed and quality. It is expected to be used in a wide range of applications, such as image generation, image editing, and image restoration.

Here are some of the benefits of using DPM++ 2M (Karras):

• Faster generation speed than previous diffusion model samplers
• Higher image quality than previous diffusion model samplers
• Able to generate a wide range of image types, including realistic images, stylized images, and artistic images
• Easy to use, even for beginners