![]() ![]() ![]() The higher the CFG scale, the stronger the style is.Įuler sampling method with 50 steps works for most situations.Īs a rule of thumb, set CFG scale to a high value between 20-30, and change denoising strength between 0.2 and 0.6 to achieve a good stylization while preserving the content. When denoising strength is high, the image changes too much and loses it original content. X/Y Plot of CFG scale vs denoising strength X/Y plot script settings.īelow is what you will get. The image is specified by the seed value. If you want to be systematic, you can use the X/Y plot script to explore the interplay between CFG scale and Denoising strength. Denoising strength controls how much the image should change. a charcoal sketch of a beautiful woman)įor stylizing images, you will be most tweaking two parameters: CFG scale and denoising strength.ĬFG scale controls how much the model should follow the prompt. The prompt should describes both the new style and the content of the original image. In AUTOMATIC1111 GUI, go to img2img tab and select the img2img sub tab. I will use the following starting image generated using the Victorian girl prompt: The original image to be stylized. OK, enough of these theoretical stuffs! Here’s how you would actually do it. So if you include pencil drawing in your text prompt, the synthesized image will include visual elements of pencil drawing but the content of the image still follows the original one. With a small amount of randomness added, which is controlled by the denoising strength, the model constructs a new image according to the text prompt. Instead of using a random latent state, the original image was used to encode the initial latent state. The basic idea is to use img2img to modify an image with the new style specified in the text prompt. See my quick start guide for setting up in Google’s cloud server. I will show you how to do it with AUTOMATIC1111 GUI. ![]()
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