Denoising strength
What is denoising strength in stable diffusion?
There is only so far that you can go with Prompt Engineering. Stable diffusion is a powerful technique for generating realistic and diverse images from text Prompts or input images. It works by gradually transforming a noisy image into a clear one, guided by a Neural network that learns from a large dataset of images. However, stable diffusion also allows users to control how much noise they want to add or remove from their input images, using a parameter called denoising strength.
Denoising strength is a value between 0 and 1 that determines how much the output image will be influenced by the input image. A low denoising strength (close to 0) means that the output image will look very similar to the input image, with only minor modifications. A high denoising strength (close to 1) means that the output image will look very different from the input image, with major modifications.
Why would you want to change the denoising strength? Depending on your goal, you might want to use different levels of denoising strength to achieve different effects. For example, if you want to use stable diffusion for inpainting, which is filling in missing or corrupted parts of an image, you might want to use a low denoising strength to preserve the original image as much as possible. On the other hand, if you want to use stable diffusion for image-to-image translation, which is transforming an image from one domain to another (such as turning a photo into a painting), you might want to use a high denoising strength to create more variation and creativity.