Stable diffusion adetailer face reddit. Yes, SDXL is capable of little details.

Stable diffusion adetailer face reddit I have very little experience here, but I trained a face with 12 photos using textual inversion and I'm floored with the results. space. So if the space ocupied by face is bigger - you will get pixaleted face or use codeformer and get what you got. It depends a bit on how well known your subject is in your used model. Regional Prompter. That seemed to give nicer details to face without resulting in those overexposure results of using Loras in Adetailer and regular Prompt with the same settings. (100 generation a day, NSFW allowed, all model allowed). Here's the juice: You can use [SEP] to split your adetailer prompt, to apply different prompts to different faces. Check out my original post where I added a new image with freckles. /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. Things like having it only /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. 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 always get great results performing an "only masked region" img2img inpainting pass on the face of characters. In the base image, SDXL produce a lot of freckles in the face. Restore face makes face caked almost and looks washed up in most cases it's more of a band-aid fix . It used to only let you make one generation with animatediff, then crash, and you had to restart the entire webui. This ability emerged during the training phase of the AI, and was not programmed by people. Can adetailer select the whole head (face, hair) or only the face? I'd beenusinfg the old text2mask plugin forever and with that just adding head, hair would generate a pretty good mask for inpainting. The ADetailer extension will automatically detect faces, so if you set it to face detect and the use a character/celeb embedding in the adetailer prompt it will swap the face out. After upscaling, the character's face looked off, so I took my upscaled frames and processed them through IMG2IMG. e. Step 3: Making Sure ADetailer Understands 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). Yes, SDXL is capable of little details. There's still a lot of work for the package to improve, but the fundamental premise of it, detecting bad hands and then inpainting them to be better, is something that every model should be doing as a final layer until we get good enough hand generation that satisfies Adetailer says in the prompt box that if you put no prompt, it uses your prompt from your generation. 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. After Detailer (aDetailer) is a game-changing web-UI extension designed to simplify the process of image enhancement, particularly inpainting. Question | Help I have tried different order/combo of model and detection model confidence threshold, no matter what I have adjusted, it is just heads everywhere. 1st pic is without ADetailer and the second is with it. pt, ADetailer prompt: "photo of woman, looking at the viewer Adetailer itself as far as I know doesn't, however in that video you'll see him use a few nodes that do exactly what Adetailer does i. Adetailer problem, when I try to fix both face and hands, it quite often turned fingers and some other parts into face. I tried increasing the inpaint padding/blur and mask dilation parameters (not knowing enough what they do). 4) for the facial Loras (Perfect Eyes, Characters, and Person Loras) in the initial prompt and a higher weight (0. We’ve been hard at work building a professional-grade backend to support our move to building on Invoke’s foundation to serve businesses and enterprise with a hosted offering (), while keeping Invoke one of the best ways to self-host and create content. I'm having some weird results when using inpaint in any kind of settings, happens to ADetailer as well. This way, I can port them out to adetailer and let the main prompt focus on the character in the scene. Man, you're damn right! I would never be able to do this in A1111; I would be stuck into A1111's predetermined flow order. Losing a great amount of detail and also de-aging faces on a creepy way. pt and 2 Universal Upscalers. List whatever I want on the positive prompt, (bad quality, worst quality:1. v4. use inpaint to change eye color and to boost face quality if needed use ADetailer as restore faces is not very good most of the time, also ADetailer should keep I am trying to use adetailer on a face with various sunglass styles and it completely removes the glasses during the inpainting. For the small faces, we say "Hey ADetailer, don't fix faces smaller than 0. epi_noiseoffset - LORA based on the Noise Offset post for better contrast and darker images. Posted by u/FoxDifficult9661 - 1 vote and no comments I've also tried an approach with AfterDetailer, the Face Detection, and a similar wildcards file: Set AfterDetailer to detect faces, with the wildcard in the AfterDetailer prompt, it will iterate through the faces it detects and inpaint them at the strength specified, Put ImageBatchToImageList > Face Detailer > ImageListToImageBatch > Video Combine. You can also inpaint faces to redo them. Has ADetailer to fix face (but that cost 1 extra generation). 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 AnimateDiff loader dont work on single image, you need 4 atleast maybe and facedetailer can handle only 1 ) Only Drawback is there will be no Workflow: A thirty-year-old woman with exaggerated features to emphasize an 'ugly' appearance. I’ve noted it includes the face and head but I sometimes don’t want to touch it. Many SD models aren't great for that, though, as they rely on a VAE that'll lighten, darken, saturate or I've managed to mimic some of the extensions features in my Comfy workflow, but if anyone knows of a more robust copycat approach to get extra adetailer options working in ComfyUI then I'd love to see it. I’m using Forge webui. a number of reasons, including this one. You need to play with the negative prompting, CFG scale and sampling steps. The more face prompts I have, the more zoomed in my generation, and that's not always what I want. 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 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. Hi guys, adetailer can easily fix and generate beautiful faces, but when I tried it on hands, it only makes them even worse. giving a prompt "a 20 year old woman smiling [SEP] a 40 year old man looking angry" will apply the first part to the The default settings for ADetailer are making faces much worse. Wondering how to change order of operations for running FaceSwapLab (or any face swap) and then ADetailer after? I want to run ADetailer (face) afterwards with a low denoising strength all in 1 gen to make the face details look better, and avoid needing a second workflow of inpainting after. While some models have been forced to produce one specific type of results, no matter the prompt (see most of the anime models or all the ones that produce the same face), others that are more capable of understanding the prompts have a “base style” that is neither /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. Step 4 (optional): Inpaint to add back face detail. And it seems the open-source release will /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. As I understand the adetailer need those pixels to have something to work with to diffuse and then create a new face. Paper: "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model". The Invoke team has been relatively quiet over the past few months. 5 model use resolution of 512x512 or 768 x 768. There are simpler nodes like the facerestore node which simply applies a pass that runs GPFGAN as well. You can do it easily with just a few clicks—the ADetailer(After Detailer) extension does it all TLDR In this tutorial, Caocao2025 demonstrates how to use the ADetailer extension for Stable Diffusion to enhance images by automatically refining facial features, hands, eyes, 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. I thought of using wildcards, which also didn't work Hi everybody, I used to enable Adetailer quite often when doing inpaints, for example, to fix mangled hands. x, is not applied in the inpainting tab any more (still works in the img2img tab though). The following has worked for me: Adetailer-->Inpainting-->inpaint mask blur, default is 4 I think. face_yolov8n. 15-20ish and add in your prompt etc, i found setting the sampler to Heun works quite well. 35, ADetailer model: face_yolov8n. This has been such a game changer for me, especially in longer views. x to 24. detect the face (or hands, body) with the same process Adetailer does, then inpaint the face etc. 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. After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. safetensors, Denoising strength: 0. When applying Adetailer for the face alongside XL models (for example RealVisXL v3. Apply adetailer to all the images you create in T2I in the following way: {actress #1 | actress #2 | actress #3} would go in the positive prompt for adetailer. Though after a face swap (with inpaint) I am not able to improve the quality of the generated faces. That means I get mismatched characters and faces. 2 noise value it changed quite a bit of face. One for faces, the other for hands. I'm using SD1. There are various models for ADetailer trained to detect different things such as Faces, Hands, Lips, Eyes, Breasts, Genitalia (Click Unlock the potential of ADetailer in Stable Diffusion! Discover how to install, use, and maximize this powerful extension for enhancing AI-generated portraits. Hello all, I'm very new to SD. 10 votes, 27 comments. Do you have any tips how could I improve this part of my workflow? Thanks! For artists, writers, gamemasters, musicians, programmers, philosophers and scientists alike! The creation of new worlds and new universes has long been a key element of speculative fiction, from the fantasy works of Tolkien and Le Guin, to the science-fiction universes of Delany and Asimov, to the tabletop realm of Gygax and Barker, and beyond. Adetailer: Great for character or facial LoRAs to get finer details while the main prompt can focus on broad strokes composition. VAE: vae-ft-mse-840000-ema-pruned. I outpainted most of the clothing and arm poses. 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. ADetailer model 2nd: mediapipe_face_mesh_eyes_only, ADetailer prompt 2nd: "blue-eyes, hyper-detailed-iris, detail-sparkling-eyes, described as perfect-brilliant-marbles, round-pupil, sharp-eyelashes", ADetailer confidence 2nd: 0. 5-0. 5 and SDXL is very bad with little things) Adetailer in forge is generating a black box over faces after processing. Yes, you can use whatever model you want when running img2img; the trick is how much you denoise. I use ADetailer to find and enhance pre-defined features, e. You can turn on "Save Mask Previews" under the Adetailer tab in settings to see how the mask detects with different models (i. Master Consistent Character Faces with Stable Diffusion! 4. tl;dr just check the "enable Adetailer" and generate like usual, it'll work just fine with default setting. There are plenty of tutorial on youtube and maybe they can get you some info you may have missed. Adetailer made a small splash when it first came out but not enough people know about it. When using adetailer, or in specific adetailer to improve the face, do I have those embeddings or keywords in the main prompt, or in the prompt for the face adetailer? Thanks in advance for any replies. (with these settings ADetailer model: face_yolov8n. It might be a display bug, or a processing bug, but you might want to post it on the issue tracker for ADetailer. 22 votes, 25 comments. It hasn't caused me any problems so far but after not using it for a while I booted it up /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. It would be high-quality. 3, 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. pt. On a 1. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix Try the face_yolov8 models, I believe N and S only differ by the size of the regions they detect. 5 it's usually perfectly fixed by ADetailer or Hires. There are various models for ADetailer trained to detect different things such as Faces, Hands, Among the models for face, I found face_yolov8n, face_yolov8s, face_yolov8n_v2 and the similar for hands. The Face Restore feature in Stable Diffusion has never really been my cup of tea. I have my stable diffusion UI set to look for updates whenever I boot it up. Hi there. However, the latest update has a "yolo world model", and I realised I don't know how to use the yolov8x and related models, other than in pre-defined models as above. So the only way to get great result is to not make closeup portraits. e. It always brings out a lot of detail in the mouth and eyes and fixes any bad lines/brush strokes. gg Having the same issue with Adetailer in inpaint using up to date versions. I used ADetailer face face_yolov8m. In the meantime, you can use the clipboard button to "Apply Styles" to actually paste the contents of the style into the prompt box, then trim it down in the adetailer prompts. I wanted to set up a chain of 2 facedetailer instances into my workflow. 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 I checked for a1111 extension updates today and updated adetailer and animatediff. No more struggling to restore old photos, remove unwanted objects, and fix faces and hands that look off in stable diffusion. Sometimes also the clip skip layer. As of this writing ADetailer doesn't seem to support IP-Adapter controlnets, but hopefully it will in the future. A lot of the stuff I do tends to be hi, I'm been experimenting and trying to migrate my workflow from AUTO1111 to Comfy, and now I'm stuck while trying to reproduce the ADetailer step I use in AUTO1111 to fix faces; I'm using the ImpactPack's FaceDetailer node, but no matter what, it doesn't fix the face and the preview image returns a black square, what I'm doing wrong? Not sure if adetailer works with SDXL yet (I assume it will at some point), but that package is a great way to automate fixing hands and faces via inpainting. ControlNet tile and upscale with small increments. Hey, bit of a dumb issue but was hoping one of you might be able to help me. 35 and then batch-processed all the frames. 6% of the whole puzzle!" That's like telling ADetailer to leave the tiny faces alone. I already use Roop and ADetailer. So like portraits with faces up close are perfect. I activated Adetailer with a denoise setting of 0. Adetailer model is for face/hand/person detection Detection threshold is for how sensitive it's detect (higher = stricter = less face detected / will ignore blurred face in background character) then mask that part Look Ma! No Hands. It's basically a square box detection and will work 90% of the time with no issues. Which ADetailer model it's the best for better track the face in The Adetailer extension should allow you to do it. I have the same experience; most of the results I get from it are underwhelming compared to img2img with a good Lora. These parameters did not make the red box bigger. if you have 'face fix' enabled in A1111 you have to add a face fix process using a node that can make use of face fixing models or techniques such as Impact Packs - face detailer or REACTOR face replacer node. 6, ADetailer use separate steps 2nd: True, ADetailer steps 2nd: 20, ADetailer use separate sampler 2nd: True If the low 128px resolution of the reactor faceswap model is an issue for you (e. Check out our new tutorial on using Stable Diffusion Forge Edition with ADetailer to improve faces and bodies in AI-generated images. This wasn't the case before the updating to the newest version of A1111. I don’t know a lot about Stable Diffusion but despite that, I love using mage. ADetailer face model auto detects the face only. run a generation with mediapipe model and then the same prompt/seed with face_yolo models to see the difference). This is the best technique for getting consistent faces so far! Input image - John Wick 4: Output images: Input image - The Equalizer 3: So Adetailer works good but it's changing eye position in some of the images despite using controlnet openpose in Adetailer and img2img settings. 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. Doing some testing it seems if i use adetailer and have that do restore faces after its pass its about 90% less and almost imperceptible but faces look good Highly recommend this extension. Hm. The next step for Stable Diffusion has to be fixing prompt I've been trying out AnimatedDiff recently, but I'm experiencing severe issues with images of people flickering or warping. There's a relatively new implementation for using a different checkpoint for the face fixing/inpainting it does normally. I searched already for this issue on github and civitai forums (as well as this reddit) but I haven't seen anyone having the same issue. using face_yolov8n_v2, and that works fine. I was wondering if there’s a way to use Adetailer masking the body alone. 0, Turbo and Non-Turbo Version), the resulting facial skin texture tends to be excessively smooth, devoid of the natural imperfections and pores. Hi, I’m quite new on this. #what-is-going-on Discord: https://discord Tressless (*tress·less*, without hair) is the most popular community for males and females coping with hair loss. Stable Diffusion needs some resolution to work with. If you are using automatic1111 there is the extension called Adetailer that help to fix faces and hands. It saves you time and is great for quickly fixing common issues like garbled faces. Glad you made this guide. I thought I'd share the truly miraculous results controlnet is able to produce with inapainting while we''re on the subject: As you can see, it's a picture of a human being walking with with a very specific pose because the inpainting model included in controlnet totally does things and it definitely works with inpainting now, like, wow, look at how muuch that works. 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. This manifests as "clones", where batch for example, in main prompt school, <lora:abc:1>, <lora:school_uniform:1> and in adetailer prompt school, <lora:abc:1> and of course it works well Okay, so it's complete test out and refiner is not used as img2img inside ComfyUI. pt, ADetailer confidence: 0. Now unfortunatelly, I couldnt find anything helpful or even an answer via Google / YouTube, nor here with the subs search funtion. 4, ADetailer inpaint only masked: True Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. 5 text2img with ADetailer for the face with face_yolov8s. The rabbit hole is pretty darn deep. I was surprised to find out that Adetailer, since last update from 23. If you are using A1111 the easiest way is to install Adetailer extension- it will auto-inpaint features of the image (models for face, eyes, and hands) and you can set a separate prompt for each. Maybe displacing the adetailer mask down? Thank you! Hi, I created an extension to use Stable Diffusion Webui Api in Silly Tavern, I know it has its own, but I missed to be able to pass other parameters to the command to generate images, and to use the styles of the api, it is a test version even that is what I use now myself so I'm used to generating 512x512 on models like cetus, 2x upscale at 0. I would like to have it include the hair style. Others are saying ADetailer, but without clarification, so let me offer that: ADetailer's fix is basically a form of img2img or inpainting. Even when I input a LORA facial expression in the prompt, it doesn't do anything because the faceswap always happens at the end. That way, you can increase weight and prevent colors from bleeding to the rest of the image, or use Loras/Embeddings separately for the main image vs No way! Just today I was like "I need to learn the differences of control nets and I really dont understand IP adapters at all". We’re committed to building in OSS - We intend for solo Posted by u/RulinSumo80 - No votes and 1 comment Detail Tweaker LoRA - LoRA for enhancing/diminishing detail while keeping the overall style/character; it works well with all kinds of base models (incl anime & realistic models)/style LoRA/character LoRA, etc. 6 update, all I ever saw on at the end of my PNG Info (along with the sampling, cfg, steps, etc) was ADetailer model: face_yolov8n. All of this being said, Controlnet, Adetailer and Reactor are hard on the GPU VRAM and . //discord. This deep dive is full of tips and tricks to help you get the best results in your digital art. Currently, it's still ip adapter. I tried all four ADetailer models for reconstructing the face, but the result is always far from that of the author. 1st - It's just a face that I posted as example of my problem with Adetailer 2nd - Is ain't my fault that the AI gave me the face of a young girl, I naively posted it because it was the best generation that exemplified my problem. 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 /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. 5 when generating humans - but at the cost of overtraining and loss of variability. What I feel hampers roop in generating a good likeness (among other things) is that it only touches the face but keeps the head shape as it is; the shape and proportions of someone’s head are just as important to a person’s likeness as their facial /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. For example: A photo of x, y expression, high quality, detailed For clarity, if your prompt is Beautiful picture of __actors__, __detail__ and you put in adetailer face of __actors__ You will get the same actor name. I'm trying to do a large batch so straight up inpainting would take too long. 4 - Inpaint only masked = 32 - Use separate width/height = 1024/1024 - Use separate steps = 30 - Use separate CFG scale = 9 Depends on the program you use, but with Automatic 1111 on the inpainting tab, use inpaint with -only masked selected. Adetailer provides the possibility to apply lora to faceonly. (Reactor) or face cleanup and overall better looking faces (Adetailer). Otherwise, the hair outside the box and the hair inside the box are sometimes not in sync. Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. You don't have to use LoRA faces only. No mask needed. This tool not only saves you valuable time but also proves invaluable in fixing common I'm using ADetailer with automatic1111, and it works great for fixing faces. If you are generating an image with multiple people in the background, such as a fashion show scene, increase this to 8. 2-0. 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 Here's a link to a post that you can get the prompt from. Included is. I use it this way because the lora I used changed the pose too /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. Me too had a problem with hands, tried Adetailer, NansException: A tensor with all NaNs was produced in Unet. pt, ADetailer model 2nd: hand_yolov8n. Now, a world of possibilities has opened; next, I will try to use a segment to separate the face, upscale it, add a lora or detailer to fine-tune the face details, rescale to the image source size, and paste it back. Reply reply thugcee The RPG model doesn't do as well with distant faces as other models like Absolute Reality (which is why I used RPG for this guide, for the next part). I have been using aDetailer for a while to get very high quality faces in generation. 6 - Mask : Merge - Inpaint mask blur = 8 - Inpaint denoising strength = 0. But I would also add quality LoRAs and Embeddings, and from what I've read, ADetailer. A place to discuss the SillyTavern fork of TavernAI. These Models are the larger versions to face_yolov8s, hand_yolov8n and person_yolov8s. 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. . 8)for the adetailer. I'm using Highres + Adetailer (face+hand), and it seems that Adetailer, which does post-processing, is causing the problem. Easy to fix with Adetailer though, either with the face model, eye model or both. ADetailer is an extension for the stable diffusion webui, designed for detailed image processing. I still did a fork of wildcards with my improvements Before the 1. 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. Now I'm seeing this: ADetailer model: face_yolov8n. Does colab have adetailer? If so, you could combine two or three actresses and you would get the same face for every image created using a detailer. An issue I have not been able to overcome is that the skin tone is always changed to a really specific shade of greyish-yellow that almost ruins the image. 3, ADetailer dilate/erode: 4, ADetailer mask blur: 4, ADetailer denoising strength: 0. g. With the new release of SDXL, it's become increasingly apparent that enabling this option might not be your best bet. ADetailer model: face_yolov8n. They don't end up in the PNG info of the output gen. I use After Detailer or Adetailer instead of face restore for nonrealistic images with great success imo and to fix hands. 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). 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. - Detection model confidence threshold = 0. I don't know what your main prompt is but try putting a specific prompt for the face in ADetailer. It allows you control of where you want to place things in your image. A reason to do it this way is that the embedding doesn’t Using adetailer to do batch inpainting bassicly, but not enough of the face is being changed, primarily the mouth / nose / eyes and brows But the area it adjusts is to small, I need the box to be larger to cover the whole face + chin + neck and maybe hair too I think the problem is the extensions are using onnxruntime but 1 of them is using onnxruntime gpu and the other onnxruntime (cpu) it makes a conflict. However if your prompt is Beautiful picture of __detail__, __actors__ and face of __actors__ in adetailer, you will NOT get the same prompt. 4), (hands:0. THIS is perfect. Raw output, pure and simple TXT2IMG. No ControlNet, No ADetailer, No LoRAs, No inpainting, No editing, No face restoring, Not Even Hires Fix!! (and obviously no spaghetti nightmare). pt, ADetailer prompt: "highly detailed face, beautiful eyes, looking at viewer, blue eyes, cross hair ornament, seductive smile The next version of Stable Diffusion ("SDXL") that is currently beta tested with a bot in the official Discord looks super impressive! Here's a gallery of some of the best photorealistic generations posted so far on Discord. Adetailer doesn't require an inpainting checkpoint or controlnet etc etc, simpler is better. Using a workflow of txt2image prompt/neg without the ti and then adding the ti into adetailer (with the same negative prompt), I get /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. I saw 'faceidplus' was a new model for this, but it only does face, and idk how much of an improvement it actually is. **So What is SillyTavern?** Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. Hands are still hit or miss, but you can probably cut the amount of nightmare fuel down a bit with this. pt In my experience, this one is something of a blunt instrument. I'm wondering if it is possible to use adetailer within img2img to correct a previously generated ai image that has a garbled face /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. - for the purpose of keeping likeness with trained faces while rebuilding eyes with an eye model. Which one is to be used in which condition or which one is better overall? They are UPDATED ADetailer MODELS for better Face Detection/Detailing - After Detailer : r/StableDiffusion. You'll get much better faces and it's easier to do things like get the right eye color without influencing the rest of the image with the eye color. Adetailer and other are just more automated extensions for it, but you don't really need to have a separate model to place a mask on a face (you can do it yourself), that's all that Adetailer and other detailer extensions do. For face work fine for hands is worst, hands are too complex to draw for an AI for now. Her body shape is unevenly chubby, and her skin is prominently imperfect with blemishes and uneven texture. Adetailer detects the face(or whatever detection model that is used) after inpainting, but just creates a duplicate file instead of regenerating the area. sampler: DPM++ 2m SDE(Karras) 768x1024, 25 steps, 8 guidance scale lora: I just have too much shame to post it on reddit. You can set the order in the tab for it in the main GUI settings, then Hey guys, Goal: I would like to let SD generate a random character from my lora into my scene. 21 votes, 29 comments. true. I tested a lower weight(~ 0. you want to generate high resolution face portraits), and codeformer changes the face too much, you can use upscaled+face restored half-body shots of the character to build a small dataset for lora training. (scale by 1,5 ~ 1,25) Play with the denoising to see how much extra detail you want. 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. Fix. View community ranking In the Top 1% of largest communities on Reddit. Add More Details - Detail Enhancer - analogue of Detail Tweaker. A 0 won't change the image at all, and a 1 will replace it completely. But if a face if farther away, it doesn't seem to be able to make a good Thgink of it this way - face res is 128x128. Any Every time I use those two faceswapping extensions, the expressions are always the same generic smiling one. As an example, if I have Txt2Img running with Adetailer and Reactor face swap running, how can I set it so Adetailer runs after the faceswap? Many generations of model finetuning and merging have greatly improved the image quality of Stable Diffusion 1. Adetailer is basically a an automated inpainter which can detect things like faces, hands, bodies and inpaint them /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. Preferrable to use a person and photography lora as BigAsp ADetailer is an extension for the stable diffusion webui, designed for detailed image processing. Look at the prompt for the ADetailer (face)and you'll see how it separates out the faces. 0 | Stable Diffusion Checkpoint | Civitai. Sure the results are not bad, but its not as detailed, the skin doesn't look that natural etc. This occurs even though Adetailer impressively enhances details in areas like the eyes and mouth. Effectively works as auto-inpainting on faces, hands, eyes, and body (haven't tried the last very often fwiw). For SD1. Add "head close-up" to the prompt and with Amazing. As the title suggest, I'm using ADetailer for Comfy (the impact-pack) and works well, problem is I'm using a Lora to style the face after a specific person(s), and the FaceDetailer node makes it clearly "better" but kinda destroys the similarity and facial traits. . You can have it do automatic face inpainting after the image is generated using whatever prompt you want. Adetailer is up to date and I also ran the update batch job before restarting forge. Problem: If I use dynamic prompts and add the loras into the regular prompt window as well as the adetailer face prompt, they don't pull the same lora. pt, ADetailer prompt: "woman face, skin details, natural skin texture", ADetailer confidence: 0. Despite relatively low 0. This way, I achieved a very beautiful face and high-quality image. The only drawback is that it will significantly increase the generation time. 4 denoise with 4x ultrasharp and an adetailer for the face. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Any way to preserve the "lora effect" and still fix imperfect faces? Iam not a pro but I think the adetailer get better if you upscale in the process or have a decent pixelcount from the beginning. Has anyone encountered this, Imagine you want to inpaint the face and thus have painted the mask on the face: the three options are: "Inpaint area: Whole picture" - the inpaint will blend perfectly, but most likely doesn't have the resolution you need for a good face (SD1. I will try that as the facedeatailer nodes never worked and only ever found one face in a group of people which is where XL has a problem. Full Body. They should offer better photorealistic nsfw, the gold standard is BigAsp, with Juggernautv8 as refiner with adetailer on the face, lips, eyes, hands, and other exposed parts, with upscaling. qsd zbyraw afqug odfmlxk cdolqtbw fpy uqtwj rnvd djh qopo