![]() These transforms change the appearance of an image without changing itsĬontent. They are useful for tasks such as objectĭetection, image segmentation, and feature matching. These transforms identify and extract specific features or ![]() Reduce its size or up-sampling an image to increase its resolution. They are useful for tasks such as down-sampling an image to These transforms change the size or resolution of an image. They are useful for tasks such as image registration, These transforms change the shape or position of an image. Working with the original size of the model, aka 512 or 768 is best.This module includes tools to transform images and volumetric data. Crop and resize is usually a good idea when working on an upscaled image, as it will reduce the size. Try creating larger batches and then determining which replacement you want to use. If you keep the masked area option on "Original" it will keep the image you had already underneath the mask. "Inpaint masked" will replace the area that you have drawn on the canvas. Write in a prompt that contains the existing prompt you used for your image, but tweak it to generate what you want to inpaint. With inpainting, you can draw on your canvas and mask the area you wish to replace. Use this tab to replace portions of an image. The ultimate upscaler settings will determine how it gets to that resolution. Set the img2img resolution will be used to determine the final resolution of the image. Seams fix will reduce the amount of generation between the tiles, padding can help with this as well. You can change the tile size, and the tile amount (Starts with "M" in first row of settings, with number 12). Use a redraw option to give a broad idea of the upscale, then Ultimate upscaler will break into tiles and upscale each one. It's best not to use Euler A, try to keep a less dynamic sampler. Your root directory in Creator's Club is /mnt/private/įor more information on Batch Processing in Creator's Club, including how to make ControlNet Img2Img videos, check Ultimate Upscale Ultimate Upscale Script in the img2img tab You then create a folder, and reference that folder in the Input directory. Using controlnet you can even create creative videos by processing every frame.īatch processing requires private storage with our Creators Club subscription. Batch Processing Directories example in RunDiffusionīatch processing is a great way to process a number of images in a directory. This can be useful in inpainting, but also for making slight changes or drastic ones. Everything in between will slowly introduce more of the diffusion into the mix. A high denoising strength will completely replace the image and a low denoising strength will keep the original image intact. Pretty cool, huh?ĭenoising Strength determines how much diffusion will change the original image. This option will resize and use it's interpretation of the image to upscale. in Stable Diffusion, latent space is the image representation space learned by the encoder in training. Lots of philosophical arguments are about this. You could even say individual perceptions of humans are in a latent space, although some camps disagree and think our direct perception is reality. Just Resize (Latent Upscale) - latent space is an abstract space that contains an interpretation of the observed events. ![]()
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