![]() The 8n model is faster but is about 3 times smaller than the 8s model (hence less powerful). But don’t put too much hope on this one because Stable Diffusion is still not good at drawing hands, no matter how many times it redraws them.įinally, you may wonder about the difference between the YOLO 8n and 8s models. They don’t do too well when the faces are garbled, which is why we need them in the first place… If you have an image like this, you are better off inpainting the foot, the skirt,… etc, manually one at a time. It is usually not a good idea to inpaint a large area. However, because more pixels are needed for inpainting the whole person, the face was not inpainted as much detail as when using the face model. Face_yolo_8n Inpainted Person_yolo_8n_seg Inpainted The YOLO (You Only Look Once) models are good at detecting faces and objects, and inpainting works well. The most useful ones are the face_yolo and person_yolo models. Mediapipe_face_xxxxx: Detect and redraw faces.Person_xxxx: Detect and redraw a whole person.The models are divided into a few different groups: Select the detection model in the ADetailer model dropdown menu. Now you know the basic function, let’s learn some extra parameters to fine-tune its function. You can also use ADetailer in the inpaint tab. Denoising strength 0.1 Denoising strength 0.2 More details are added to the image!Īdjust denoising strength to control the level of details added. 0.1.Įnable After Detailer in the ADetailer section. Set denoising strength (of img2img, not ADetailer) to a low value, e.g. The generation parameters, such as the prompt and the negative prompt, should be automatically populated. In the txt2img page, send an image to the img2img page using the Send to img2img button. ![]() The benefit is you can restore faces and add details to the whole image at the same time. You can also use After Detailer with image-to-image. The reason you don’t get exactly the same face as manual inpainting is that the inpainting masks are drawn differently. That’s all you need to do to use the basic function of restoring the face. Select the face_yolo8n.pt model in the ADetailer model dropdown menu. To use After Detailer in txt2img, expand the ADetailer. So it is essentially a time saver extension. ![]() The extension then performs inpainting with only the masked area, like what was done in the last section. What it does is use a face recognition model to detect the face and create the inpaint mask automatically. Automatic inpainting with After DetailerĪfter Detailer automates this process and more. That’s why the face now looks much better. Effectively, it regenerates the face at a much higher resolution and then scales it back down to the original resolution. The inpaint only masked option is especially important because it uses the whole resolution (512×768) to regenerate the masked area. In the Inpaint tab, draw a mask around the garbled face. What you would normally do is send the image to Inpainting using the Send to inpaint button. The VAE does not have enough pixels to generate a good face. Underage, immature, disfigured, deformed, uglyīecause the face is small and the resolution is low, there are not many pixels covering the face. sweetness and joy, happiness, enchanting fusion, imagination and a fantastical world,fantasy, high contrast, ink strokes, explosions, over exposure, purple and red tone impression, abstract, negative space Otherwise, you will have duplicate persons.Ī woman sitting on a giant ice cream, which is adorned with vibrant colors, delightful, and rainbow sprinkles. ![]() Because you are using a v1 model, you should not set the resolution too high (too much larger than 512 pixels). Let’s say you generate a full-body image of a person. Wait for the confirmation message that the installation is complete.īefore learning how to use After Detailer, it is helpful to go through what you would do without it. Enter the following URL in the URL for extension’s git repository field. Windows or Macįollow these steps to install the Regional Prompter extension in AUTOMATIC1111.Ĥ. All you need to do is select the ADetailer option in the Extensions section. Using After Detailer in our Google Colab notebook is easy. Installing After Detailer extension Google Colab You can use this GUI on Windows, Mac, or Google Colab.Ĭheck out the Quick Start Guide if you are new to Stable Diffusion. We will use AUTOMATIC1111 Stable Diffusion GUI.
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