Best stable diffusion adetailer face reddit 4), (hands:0. How to fix yup adetailer plays good role,but what i observed is adetailer really works well for face than body For body I suggest DD(detection detailer) Tbh in your video control net tile results look better than tiled diffusion. Look at the prompt for the ADetailer (face)and you'll see how it separates out the faces. How exactly do you use In this video, I demonstrate the incredible power of the Adetailer extension, which effortlessly enhances and corrects faces and hands produced by Stable Diffusion. These parameters did not make the red box bigger. That is, except for when the face is not oriented up & down: for instance when someone is lying on their side, or if the face is upside down. This is a problem with so many open source things, they don't describe what the thing actually does That and the settings are configured in a way that is pretty esoteric unless you already understand what's going on behind them and what everything means, like "XY Denoiser Protocol (old method interpolation)" (made up example, but you understand what I mean). Which one is to be used in which condition or which one is better overall? They are Both are scaled-down versions of the original model, catering to different levels of computational resource availability. Otherwise, the hair outside the box and the hair inside the box are sometimes not in sync. Not sure what the issue is, I've installed and reinstalled many times, made sure it's selected, don't see any errors, and whenever I use it, the image comes out exactly as if I hadn't used it (tested with and without using the seed). It allows you control of where you want to place things in your image. If you are generating an image with multiple people in the background, such as a fashion show scene, increase this to 8. Adetailer says in the prompt box that if you put no prompt, it uses your prompt from your generation. It saves you time and is great for quickly fixing common issues like garbled faces. Sure the results are not bad, but its not as detailed, the skin doesn't look that natural etc. I'm used to generating 512x512 on models like cetus, 2x upscale at 0. Say goodbye to manual touch-ups and discover how this game-changing extension simplifies the process, allowing you to generate stunning images of people with ease. I know this prob can't happen yet at 1024 but I dream of a day that Adetailer can inpaint only the irises of eyes without touching the surround eye and eyelids. I have very little experience here, but I trained a face with 12 photos using textual inversion and I'm floored with the results. I'm wondering if it is possible to use adetailer within img2img to correct a previously generated ai image that has a garbled face + hands. Restore face makes face caked almost and looks washed up in most cases it's more of a band-aid fix . I already use Roop and ADetailer. Posted by u/leonhart83 - 2 votes and 11 comments Here's a link to a post that you can get the prompt from. List whatever I want on the positive prompt, (bad quality, worst quality:1. Seems worse to me tbh, if the lora is in the prompt it also take body shape (if you trained more than just the face) and hair into account, in adetailer it just slaps the face on and doesn't seem to change the hair. Why don't you club tiled diffusion+ control net tile try that I use After Detailer or Adetailer instead of face restore for nonrealistic images with great success imo and to fix hands. Step 3: Making Sure ADetailer Understands Though after a face swap (with inpaint) I am not able to improve the quality of the generated faces. Do you have any tips how could I improve this part of my workflow? Thanks! Adetailer: Great for character or facial LoRAs to get finer details while the main prompt can focus on broad strokes composition. Add "head close-up" to the prompt and with around 400 pixels for the face it will usually end up nearly perfect. Hands are still hit or miss, but you can probably cut the amount of nightmare fuel down a bit with this. Hi guys, adetailer can easily fix and generate beautiful faces, but when I tried it on hands, it only makes them even worse. g. Among the models for face, I found face_yolov8n, face_yolov8s, face_yolov8n_v2 and the similar for hands. (Siax should do well on human skin, since that is what it was trained on) I'm using ADetailer with automatic1111, and it works great for fixing faces. it works ok with adetailer as it has option to use restore face after adetailer has done detailing and it can work on but many times it kinda do more damage to the face as it . https://github. Using a workflow of txt2image prompt/neg without the ti and then adding the ti into adetailer (with the same negative prompt), I get Adetailer is a tool in the toolbox. Here's the juice: You can use [SEP] to split your adetailer prompt, to apply different prompts to different faces. This way, I achieved a very beautiful face and high-quality image. Put ImageBatchToImageList > Face Detailer > ImageListToImageBatch > Video Combine. Bemypony - best ADetailer is an extension for the stable diffusion webui, designed for detailed image processing. Adetailer doesn't require an inpainting checkpoint or controlnet etc etc, simpler is better. I dont really know about hires fix upscaling though, mostly used models in chaiNNer straight. The only drawback is that it will significantly increase the No more struggling to restore old photos, remove unwanted objects, and fix faces and hands that look off in stable diffusion. 6k stars | 330 forks. Goddess - most realistic lighting of all the models and top tier prompt adherence. The best use case is to just let it img2img on top of a generated image with an appropriate detection model, you can use the Img2Img tab and check "Skip img2img" for testing on a Simple. It has it's uses, and many times, especially as you're moving to higher resolutions, it's best just to leverage inpaint, but, it never hurts to experiment with the individual inpaint settings within adetailer, sometimes you can find a decent denoising setting, and often I can get the results I want from adjusting the custom height and width settings of This is the best technique for getting consistent faces so far! Input image - John Wick 4: Output images: Input image - The Equalizer 3: The Face Restore feature in Stable Diffusion has never really been my cup of tea. The postprocessing bit in Faceswaplab works OK, go to 'global processing options tab' and then click down where you have the option to set the processing to come AFTER ALL (so it adds this processing after the faceswap and upscaling) and then set denoising around 0. This deep dive is full of tips and tricks to help you get the best results in your digital art. I think if the author of a stable diffusion model recommends a specific upscaler, it should give good results, since I expect the author has done many tests. This has been such a game changer for me, especially in longer views. With the new release of SDXL, it's become increasingly apparent that enabling this option might not be your best bet. Typically, folks flick on Face Restore when the face generated by SD starts resembling something you'd find in a sci-fi flick (no offense meant to After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. A full-body image 512 pixels high has hardly more than 50 pixels for the face, which is not nearly enough to make a non-monstrous face. For the big faces, we say "Hey ADetailer, don't fix faces bigger than 15% of the whole puzzle!" We want ADetailer to focus on the larger faces. 4. 15-20ish and add in your prompt etc, i found setting the sampler to Heun works quite well. giving a prompt "a 20 year old woman smiling [SEP] a 40 year old man looking angry" will apply the first part to the first face (in the order they are processed) and the second part to the second face. I activated Adetailer with a denoise setting of 0. The more face prompts I have, the more zoomed in my generation, and that's not always what I want. I tried increasing the inpaint padding/blur and mask dilation parameters (not knowing enough what they do). In other words, if you use a lora in your main prompt, it will also load in your adetailer if you don't have a prompt there. 4 denoise with 4x ultrasharp and an adetailer for the face. Effectively works as auto-inpainting on faces, hands, eyes, and body (haven't tried the last very often fwiw). ADetailer face model auto detects the face only. 35 and then batch-processed all the frames. Is this possible within img2img or is the alternative just to use inpainting without adetailer? Check out our new tutorial on using Stable Diffusion Forge Edition with ADetailer to improve faces and bodies in AI-generated images. This way, I can port them out to adetailer and let the main prompt focus on the character in the scene. Copy the generation data and then make sure to enable HR Fix, ADetailer, and Regional prompter first to get the full data you're looking for. Check out my original post where I added a new image with freckles. - for the purpose of keeping likeness with trained faces while The following has worked for me: Adetailer-->Inpainting-->inpaint mask blur, default is 4 I think. 6% of the whole puzzle!" That's like telling ADetailer to leave the tiny faces alone. After upscaling, the character's face looked off, so I took my upscaled frames and processed them through IMG2IMG. And Also Bypass the AnimateDiff Loader model to Original Model loader in the To Basic Pipe node else It will give you Noise on the face (as Tressless (*tress·less*, without hair) is the most popular community for males and females coping with hair loss. There are various models for ADetailer trained to detect different things such as Faces, Hands, Lips , Eyes , Breasts , Genitalia Best Stable Diffusion Extensions for Image Upscaling and Enhancement. Feel free to discuss remedies, research, technologies, hair transplants, hair systems, living with hair loss, cosmetic concealments, whether to "take the plunge" and shave your head, and how your treatment progress or shaved head or hairstyle looks. I would like to have it include the hair style. Tiled Diffusion & VAE. I can just use roop for that with way less effort and mostly better results Adetailer faces in Txt2Img look amazing, but in IMG2IMG look like garbage and I can't figure out why? Question - Help I'm looking for help as to what the problem may be, because using the same exact prompt as I do on Txt2Img, which gives me lovely, detailed faces, on IMG2IMG results in kind of misshapen faces with over large eyes etc. I recently discovered this trick and it works great to improve quality and stability of faces in video, especially with smaller objects. After Adetailer face inpainting most of the freckles are gone. 8) on the neg (lowering hands weight gives better hands, and I've found long lists of negs or embeddings don't rly improve the Amazing. But the details are a bit messy, and the face is a bit off. For the small faces, we say "Hey ADetailer, don't fix faces smaller than 0. In the base image, SDXL produce a lot of freckles in the face. Beautiful 3D wings. net or Krita or Gimp, load that tile back in SD and mask both eyes to inpaint them, do some attempts tweaking prompt and parameters until you get a result you are happy with, stitch the "fixed" tile back on top of your - ADetailer has at least 3 models each to reconstruct the face, the hands an the body, and has the possible use of its personal prompt (you know the prompt used for the image, but not the possible used in ADetailer) /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. In this post, you will learn She has become the standard AI face at this point. e. 1. Regional Prompter. Yes, SDXL is capable of little details. There are various models for ADetailer trained to detect different things such as Faces, Hands, ADetailer (or another post-detailing option) - for post-processing the more sensitive parts like faces or hands, or to simply improve skin texture by tossing a different checkpoint at your overly polished primary checkpoint. com/pkuliyi2015/multidiffusion-upscaler After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. You can do it easily with just a few clicks—the ADetailer(After Detailer) extension does it all Here’s my workflow to tweak details: Upscale your pic if it isn’t already, crop a 512x512 tile around her face using an image editing app like Photoshop or Paint. "s" (small) version of YOLO offers a balance between speed and accuracy, while the "n" (nano) version prioritizes faster ADetailer is an extension for the stable diffusion webui, designed for detailed image processing. Stable Diffusion needs some resolution to work with. lidvlql psxa qqznr afr pivtp nekb qeoshd jotddlt ize bfkijc