DDIM

The DDIM sampler, or Denoising Diffusion Implicit Models sampler, is one of the most popular samplers for text-to-image diffusion models. It is a fast and efficient sampler that can generate high-quality images in a reasonable amount of time.

DDIM is known for:

• Speed: DDIM can be significantly faster than other samplers like DDPM, sometimes generating images 10 to 50 times quicker. This makes it ideal for iterating and refining your results.
• Quality: DDIM generally produces high-quality images with good detail and fidelity. It offers more control over the sampling process compared to other methods.
• Flexibility: You can trade off computation time for image quality in DDIM. This allows you to find the sweet spot between speed and detail for your specific needs.
• Interpolation: DDIM can perform semantically meaningful interpolation directly in the latent space of the diffusion model. This lets you smoothly transition between different images or styles.

The DDIM sampler works by approximating the image at each step of the diffusion process using a combination of the previous image, the noise that was added to the previous image, and the desired image. This allows the sampler to generate images that are both accurate and visually appealing.