1/17/2024 0 Comments Instaling InpaintThis "modification" mode will completely ignore original content and is good at handling images with solid color backgrounds like But if the modification is too large, a better idea is to use You can always add new objects just using default setting. If you are too lazy, you can also use the shortcuts here:Īdvanced: Add New Objects / Change Background Note that this interface also allows you to add some prompts just for this inpaint pass. )įrom time to time, you may get images like this:Įverything is perfect, but the eyes / faces are just annoying: We encourage users to drag image like this:Īdvanced: Detail Fix (face, hand, eyes. Note that this method, in general, expects processing generated images with unchanged or minorly changed prompts. In the entire open source community of SDXL, the Fooocus is the only software that allows you to use control-model-based inpaint with arbitary base models. The method is partially inspired by Diffusion-based semantic image editing with mask guidance. ![]() Fooocus uses its own algorithm DPMPP Fooocus inpaint, and also uses Fooocus's own control model to minimized the influence to the style of base models. This “Fooocus Inpaint” is not only a user-friendly UI but also an algorithm production. Height & Width: set to the dimensions of your image.Fooocus 2.1.822 added inpaint and outpaint similar to Midjourney’s “left/right/top/bottom” arrows: Start at 0.3 and work your way up from there. At 0, nothing will change, and at 1 you'll get an unrelated image. Set to whatever has been working best for you.ĭenoising strength: determines how little respect the algorithm should have for image's content. Sampling Steps: set it to whatever is getting you good results.īatch count: it will probably take a few attempts for the AI to create what you want it to so why not speed the process up by generating multiple images in one go?ĬFG Scale: how closely the AI adheres to your prompt. You'll also notice the standard Stable Diffusion generation settings below the inpainting settings. Whole picture: Context of the whole picture used.Latent noise or Lantent nothing: Initialize generation with nothing.Original: Initialize generation with what was there before.Fill: Initialize generation with colors of the image.Inpaint not masked: Paint over everything not the part you painting black.Inpaint masked: Paint over the part you painted black.Resize and fill: Resize so that all of the old image fits inside the new one.Crop and resize: Resize so the entirety of the new resolution is filled with the image.This setting only applies if you're changing your resolution (width and height settings below). Here is a rundown of the settings and which ones you might want to change: Resize mode Here my prompt is just " beautiful bangs hair". Save the new image and press X on the old image. Next, I'll repeat the same process with the forehead. ![]() ![]() If you're inpainting something else, for example a pedestrian walking in the background just describe that thing in your prompt.Īfter 2 or 3 rerolls, we get a result we're satisfied with: medium shot, anime, extremely detailed, intricate, ((clear_focus)), ((sharp_focus)), perfect_face, very deep eyes, ((round pupils)) ![]() Here's a few suggestions for fixing specific parts of the image: This is not necessary but highly recommended. In the negative prompt I'm using a textual inversion (embedding). You're going to need a special prompt that focus on the elements of the image that you want to change. I say confusing because it looks like the same input box, but you'll see that they're different inputs on different tabs. This is a big confusing: you enter a new prompt for inpainting in the same place you write your prompt.
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