Image to Image is a workflow in ComfyUI that allows users to input an image and generate a new image based on it.Image to Image can be used in scenarios such as:
Converting original image styles, like transforming realistic photos into artistic styles
Converting line art into realistic images
Image restoration
Colorizing old photos
… and other scenarios
To explain it with an analogy:
It’s like asking an artist to create a specific piece based on your reference image.If you carefully compare this tutorial with the Text to Image tutorial,
you’ll notice that the Image to Image process is very similar to Text to Image,
just with an additional input reference image as a condition. In Text to Image, we let the artist (image model) create freely based on our prompts,
while in Image to Image, we let the artist create based on both our reference image and prompts.
The key to the Image to Image workflow lies in the denoise parameter in the KSampler node, which should be less than 1If you’ve adjusted the denoise parameter and generated images, you’ll notice:
The smaller the denoise value, the smaller the difference between the generated image and the reference image
The larger the denoise value, the larger the difference between the generated image and the reference image
This is because denoise determines the strength of noise added to the latent space image after converting the reference image. If denoise is 1, the latent space image will become completely random noise, making it the same as the latent space generated by the empty latent image node, losing all characteristics of the reference image.For the corresponding principles, please refer to the principle explanation in the Text to Image tutorial.
