Stable diffusion varied faces Even if I input different art styles, artists, etc. Is this just a drawback of doing inpainting to get a consistent face? Wavyfusion CKPT DOWNLOAD LINK - This is a dreambooth trained on a very diverse dataset ranging from photographs to paintings. This time I used an LCM model which did the key sheet in 5 minutes, as opposed to 35. ckpt) and trained for 150k steps using a v-objective on the same dataset. Download (1. 99 GB) Verified: 2 years ago. It is trained on 512x512 images from a subset of the LAION-5B database. It saves you time and is great for. Use it with the stablediffusion Short answer: not yet. D. Character Descriptions: For example, as we know, Black Widow is described as a highly skilled and complex character, a former Russian spy turned S. Discover amazing ML apps made by the community Spaces. 1-768. I’ve seen YouTubers getting random faces each time from the same prompt. With that in mind, I’m even more skeptical of these adaptive optimizers for the Stable Diffusion use case. Stable Diffusion v2 Model Card This model card focuses on the model associated with the Stable Diffusion v2 model, available here. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. Generate the Image. Resumed for another 140k steps on 768x768 images. Open comment sort options. Last but certainly not least, I wanted to try out style transfer and use multiple LoRA concepts simultaneously. Has anyone else noticed I'm able to get pretty good variations of photorealistic people using "contact sheet" or "comp card" in my prompts. Outpainting. I also noticed that faces are always bad in a scenario where both img resolution is low and face is not close to the "camera". Despite the vastly superior ability of Latent Diffusion Models (LDM) such as Stable Diffusion to create high-resolution representations of real people, in comparison to 2017-era autoencoder methods (i. 25 and 0. So I've come here with the hope of clarifying some of my questions. Note that the original method for image modification introduces significant semantic changes w. Bit of a weird high horse to sit on. Try generating with "hires fix" at 2x. Taking a good image with a poor face, then cropping into the face at an enlarged resolution of it's own, generating a new face with more detail then using an image editor to layer the new face on the old photo and using img2img again to combine them is a very common and powerful practice. This stable-diffusion-2 model is resumed from stable-diffusion-2-base (512-base-ema. agent and Avenger. So a tiny face is denoised form a few noisy pixels, while a big face is denoised from a lot of noisy pixels. In your prompt, use the activation token: wa-vy style Gradio We support a Gradio Web UI to run wavyfusion: . In AUTOMATIC1111, you can enable Face Restoration on the What happens is that SD has problems with faces. But I am not sure if it's my specific model problem, or global problem. Batch: 32 x 8 x 2 x 4 = 2048 This guide assumes that you have a functioning setup for ComfyUI, and all these examples are using models based on Stable Diffusion 1. Getting a single sample and using a lackluster prompt will almost always result in a terrible result, even with a lot of steps. Example images generated using Stable Diffusion. I will show a example here. It's worth adding that when image is rendering and is blurry it looks fine, distortions appear once it's done. Usage: looking ((curious face)) looking ((curious expression)) [[serious, determined]] Tip 3: Move the expression closer to the front of the prompt Dandere2x is a video upscaling algorithm that was developed to improve the speed off video upscaling. How can i "save" this face? Does anyone have a tutorial to do regional sampling + regional ip-adapter in the same comfyUI workflow? For example, i want to create an image which is "have a girl (with face-swap using this picture) in the top left, have a boy (with face-swap using another picture) in the bottom right, standing in a large field" why are the output so varied? using gif2gif Question | Help Share Add a Comment. Very If you use Stable Diffusion to generate images of people, you will find yourself doing inpainting quite a lot. I'm using up to date stable diffusion the latest version after detailer allow you to type prompt for face correction. I know I could test these things myself but with Google Colab d/c ing all the time and other services being all freemium I wanted to ask first instead of wasting the precious precious limited VRAM Introductions. I try to describe things detailed as possible and give some examples from artists, yet faces are still crooked. In AUTOMATIC1111, you use the syntax (keyword: weight) to apply a weight to a keyword. Stable Diffusion AI is a latent diffusion model for generating AI images. Download this meta image and drop it at the PNG Info tab. But first, what exactly is Stable Diffusion and why is it so revolutionary for AI-generated art? In simple terms, Stable Diffusion is a deep learning model trained on millions of image-text pairs. I've found the best way to get the poses I want is to use a 3D rig (you can get lots of rigged basemeshes on sketchfab and turbosquid) pose them up, light them and render them, Next I'll do Paintovers and push that through SD Inpainting, If Anything gets too garbled I often then prompt and photobash in separate elements and combine those together to create a new image and Hi everyone, I've been using Stable Diffusion to generate images of people and cityscapes, but I haven't been keeping up to date with the latest models and add-ons. Stable Diffusion Art. So what I end up doing was using img2img, generate a good image elsewhere, replaces the face with it In some sense, we are comparing apple to oranges. Different Poses of Your Face. But why do they look so Emma? The reason is Emma Watson is a very strong keyword in Stable Diffusion. The original prompt was supplied by sersun Prompt: Ultra realistic photo, (queen elizabeth), young, stunning model, beautiful face, Using an upscaler for Stable Diffusion to work off of can help; I’ve found that ESRGAN-4x (NOT Real ESRGAN) works best to keep the sharpness and not to have that “upscaler look” in the end after SD runs over it. Hey, bit of a dumb issue but was hoping one of you might be able to help me. During training, Images are encoded through an encoder, which turns images into latent representations. I've found that using Hires fix makes faces look a lot better so that's an option (probably the easiest one) You could also use multicontrol net with a separate map for the To assist with restoring faces and fixing facial concerns using Stable Diffusion, you'll need to acquire and install an extension called "ADetailer," which stands for "After Detailer. 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. e. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. 1, and SDXL 1. The thing I do for this is just ignore the face until the rest of the image is good, and then go into img2img and inpaint the face. In order to run face detailer to fix a face from an image AfterDetailer extension can fix faces, it's pretty good. On the other hand, huggingface is a general purse website to allow the sharing of any A. 2. I want to take two celebrities and mix their face to make a hybrid. Characters in Different Poses. App Files Files Community 20280 This model does not have enough activity to be deployed to Inference API (serverless) yet. Stable Diffusion is a powerful text-conditioned latent diffusion model. Amphibia Diffusion. 225,000 steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10 % dropping of the text-conditioning to improve classifier-free guidance sampling. Introductions. Not sure why that happens but if you know about it - you can use that behaviour to your advantage :) This guide will explore how you can leverage ChatGPT to achieve a balance of diversity and consistency when describing faces for Stable Diffusion, ensuring each generated image is unique yet coherent. from_pretrained( "runwayml/stable-diffusion-inpainting", revision= "fp16", torch_dtype=torch. Use it with the stablediffusion In my own testing of Stable Diffusion v1. Are there any plugins that can bend the grid around multiple faces. And don't forget the power of img2img. 5, 2. I’ve had this problem with LoRAs before. For art stuff is fine, especially 1. 6 to 1 And also the word "different faces". Fix broken faces, scratches, and other imperfections in old photos. Except when there are multiple people in the image. Menu Close What it does is use a face recognition model to detect the face and create the inpaint mask automatically. Adjusting the weights of each name allows you to dial I'm trying to get SD to learn my face shape so I can do things like make a GTA-stylized version of myself, etc. There are simpler nodes like the facerestore node which simply applies a pass that runs GPFGAN as well. I'm trying to train for my specific face to be photorealistic. Multiple celebrity names . 1. Sort by: Best. I found Prodigy to actually overcomplicate the whole thing without even giving good results. I didn’t see any improvements to rendering text, but I don’t think many people are using Stable Diffusion for this reason, anyway. For more technical details, please refer to the Research paper. Inpainting just the face as well as individual parts of the face in batches at full resolution from latent noise with words like shy, confused, laughing, singing etc can produce interesting variations. New. Does anyone know of a way of doing this? I can generate 100 images with 100 seeds, and I get the same damn face every time. It hasn't caused me any problems so far but after not using it for a while I booted it up and my "Restore Faces" addon isn't there anymore. 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. I feel like you purposefully ignored what I wrote just because people are genning porn with it. , will not be addressed in detail again, so I do recommend giving the previous tutorial a glance if you want further details on the process. One of the best tricks for generating consistent and realistic face images in Stable Diffusion is to use multiple celebrity references in your prompts. 0. 5 for hands. What are some tricks to get stable diffusion to "try" different faces? Perhaps there is some variety possible with dynamic prompts, but what else should TLDR The video tutorial focuses on enhancing character consistency and emotions in Stable Diffusion by using a face grid and advanced editing techniques. Works nicely. After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. Tips for using Midjourney effectively: Be creative and try unconventional descriptions to generate unique images. The images can be photorealistic, like those It’s well-known in the AI artist community that Stable Diffusion is not good at generating faces. The stable diffusion architecture is illustrated in the following diagram by Hugging Face. Though after a face swap (with inpaint) I am not able to improve the quality of the generated faces. It will allow you to make them for SDXL and SD1. Source: varied images from text descriptions. Add a load image node, select a picture you want to swap faces with, and connect it to the input face of the ReActor node. Restore Faces only really works when the face is reasonably close to the "camera". This method is particularly helpful for addressing complex compositions involving various facial parts. . 8k. This is the best technique for getting consistent faces so far! Input image - John Wick 4: Output images: Input image - The If I specify an affirmative prompt "Elderly wrinkled and balding man, talking to a 20 year old with a mullet" -- I get the same faces. And make sure you turn restore faces on, prompt beautiful, and negative prompt ugly. People using utilities like Textual Inversion and DreamBooth have been able to solve the problem in narrow use cases, but to the best of my knowledge there isn't yet a reliable solution to make on-model characters without just straight up hand-holding the AI. Unlike traditional methods, this cutting-edge technology harnesses deep learning to seamlessly reconstruct facial features, ensuring that every restored image looks natural and authentic. With SD and with some custom models it's possible to generate really natural and highly detailed realistic faces from scratch. Any tips on how to do this? Kohya's Stable Diffusion Trainers for Windows - Kohya's SD-Trainers GUI: This repository is a treasure trove for those using Windows, offering a Gradio GUI for Kohya's Stable Diffusion trainers. I'm looking for recommendations on the best models and checkpoints to use with the nmkd UI of Stable Diffusion, as well as suggestions on how to structure my text inputs for optimal results. Basically, if you have low resolution, you will only get good faces if they are close. Transfer the prepared images to Stable Diffusion and start the face swap process using the ReActor extension as described in step 6 of our guide. I tried Stable Diffusion 1. Below, we have crafted a detailed tutorial explaining how to restore faces with stable diffusion. I usually add a list of 5-10 celebrity names, which causes it to make some kind of composite of them, different enough to not be recognizable, and helps it make good faces. Hi! so, the last few days I've been using img2img to try and make simple drawings into more elaborate pictures as follows: Prompt: digital illustration of a girl with red eyes and blue hair wearing no shirt and tilting her head with detailed eyes, beautiful eyes, cute, beautiful girl, beautiful art, trending on artstation, realistic lighting, realistic shading, detalied, sharp, HD. I'm trying to create a korean character and the results give me identical facial features. I'm able to get really good realistic looking faces in my prompts, but the issue I'm running into (which I think might be a common issue) is that I'm seeing basically the same face every time. Modifications to the original model card Stable Diffusion: Produces more varied results based on the model and prompt used. The two keys to getting what you want out of Stable Diffusion are to find the right seed, and to find the right prompt. but I still seem to come up with a horde of Agent Smiths The face's area size is too small to trigger the "face restoration". 5 but the parameters will need to be adjusted based on the version of Stable Diffusion you want to use (SDXL models require a why are the output so varied? using gif2gif Question | Help Share Add a Comment. Examples: You can use this both with the 🧨Diffusers library and the RunwayML GitHub repository. Through the clever use of various facial expression cues, we can give the I went through tons of tutorials on youtube but I could not find any way how to paste face A to face B without training models which is quite time consuming if you want to use the face only once. You have to dial her down using a keyword weight. Adetailer is a tool in the toolbox. , the methods used in deepfake videos over the past six years), the deepfake detection research sector has produced very few papers that address LDM’s The original noise is this blobby junk you may have seen with pixels big like my fist and segmented in GPU and parts are denoised and upscalled and resolves into something coherent. 4 and v1. Figure 2: Examples of generated images with other stable diffusion versions and their corresponding prompts without including universal prompt terms: 2 Stable Diffusion 1. This chapter introduces the building blocks of Stable Diffusion which is a generative artificial intelligence (generative AI) model that produces unique photorealistic images from text and image prompts. Temporal Consistency experiment. This may help somewhat. (It is common to see the face garbled in Stable Diffusion. This feature make it possible to apply LoRA to face only. Varied Human Poses. FaceChain [21] trains separate face and style LoRAs [12] to synthesize spe-cific faces in specific styles. Inpainting can fix this. Stable Diffusion generally sucks at faces during initial generation. E. 4 for faces and sometimes I go to 0. Hi guys, after a long night of trying hard with prompts and negative prompts and a swap through several models Stable Diffusion generated a face that matches perfectly for me. H. If I did this with MidJourney there would be similarities, but also a lot of variety. Hi everyone I recently practiced using lora and dreambooth to train my face. The most important param I usually change es Inpaint Denoising Strength, I keep it between 0. Please note: this model is released under the Stability I did a face swap between two images generated in stable diffusion the other day, and one thing I found was photoshop has a cool neural filter that will apply the "look" of the colors in a base layer to another layer. Best. Is this just a drawback of doing inpainting to get a consistent face? Repeatability is the most important aspect when creating graphical content with generative neural networks. Some of the learned lessons from the previous tutorial, such as how height does and doesn't work, seed selection, etc. Use the ↓ model to help you make several people at the same time. While it can generate equally impressive visuals, Stable Diffusion in Hugging Face Diffusers v0. Better Hands and Faces. So I end up trying to train my face on custom models, and it just doesn't reaaaly copy my face that well as on LoRA or base model. Top. Old. like 10. But I found this subreddit today and the faces I’m seeing are really good! Is there some specific setting or prompt that I need to use? Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. I'm using Reactor which is a fork from Roop and if I try to use it to make a consistent face, the face is always low res compared to the rest of the image. Is it my prompting or could it be that the model doesn't do good with groups of /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. The Hugging Face Hub is a platform with over 120k models, 20k datasets, and 50k demo apps And there’s my face. But I'm also trying to use img2img to get a consistent set of different crops, expressions, clothing, backgrounds, etc, so I have had some luck with negative prompts like cloning, clones, same face, etc. The Stable Diffusion prompts search engine. I'm able to get pretty good variations of photorealistic people using "contact sheet" or "comp card" in my prompts. Personally I found AdamW8bit with constant LR to be predictable and no fuss. Let’s try some other prompts. Training Procedure Stable Diffusion v1-5 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder. Reactor . Sure, pretty! But would like something different. Please note: this model is released Additionally, our analysis shows that Stable Diffusion 3. Face: Hands: Stable Diffusion v2 Model Card This model card focuses on the model associated with the Stable Diffusion v2 model, available here. Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. It works by using a combination of machine learning techniques and image processing techniques to analyze the content of a video and generate higher resolution versions of I would like to get images without sharp shadows on faces, as in the first example. r. Stable Diffusion's latest models are very good at generating hyper-realistic images, but they can struggle with accurately generating human faces. In this post, we want to show how Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. animated. I created this model to make different faces, sometimes you need to use RESTORE FACES. Use weight between 0. the initial Within this workflow, you will define a combination of three components: the "Face Detector" for identifying faces within an image, the "Face Processor" for adjusting the detected faces, and the "Mask Generator" for integrating the processed faces back into the original image. 💡Face Swap. This is me generating the picture with 1. March 24, 2023. Practical application of Roop in a creative project, showing a man and woman with swapped faces. Well, the faces here are mostly the same but you're right, is the way to go if you don't want to mess with ethnics loras. EDIT - Haha! I just remembered that I once trained a model by smoothing off the models faces in Photoshop so it wouldn't learn a particular model. Blending Known Faces for a New Face. It explains how to create a detailed face grid, such as a low-light setting, to create a more dynamic and varied collection of character images. Stable Diffusion. 1, Hugging Face) at 768x768 resolution, based on SD2. Is there a way to mix models? For example, my model of my face with the model DisneyModern, I tried it with the checkpoint merger, after trying several times, there is no model that does them as well as with more famous people. Hey all, been having a lot of fun playing with the models! I'm trying to create more "cartoony" type prompts to make things like emotes for twitch or just generally to have fun, but I'm CONSTANTLY getting results back which show a body but cut off the output at the shoulders. Since I am new at it do not have sound knowledge about things. This holds true regardless of the type of content you create, be it a cinema or game character, landscape, or scene environment. Any tips on how to do this? I created this model to make different faces, sometimes you need to use RESTORE FACES. ControlNet IP Adapter Face 1. Here I am as the Queen of England. Stable Diffusion can be tricky. Nikon is a Japanese company that specializes in optical products such as cameras, lenses, microscopes, binoculars, and more. dataset, in many format, not just S. there is no "restore faces for stable diffusion" algorithm, but there are from other areas of ML. A lot of projects gain from reusing the same characters, but you might not want to use immediately recognizable celebrities. . One difficulty I've had with SD is creating people/characters that can be recognizable from image to image. Hello All! I need some help with a faster way of doing this process. Conclusion Introduction to Stable Diffusion and How It Works. Stable Diffusion needs some resolution to work with. 0 - no LORA was used), with simple prompts such as photo of a woman, but including negative prompts to try to maintain a certain quality. Can it do good rule 34 2d content, yes. I'm sure there will be a tutorial for this. To augment the well-established img2img functionality of Stable Diffusion, we provide a shape-preserving stable diffusion model. Trigger Words: The trigger words EL10LSEN are mentioned on the model page, possibly indicating specific One difficulty I've had with SD is creating people/characters that can be recognizable from image to image. Skip to content. What would be great is if I could generate 10 images, and each one inpaints a different face all together, but keeps the pose, perspective, hair, etc the same. The original noise is this blobby junk you may have seen with pixels big like my fist and segmented in GPU and parts are denoised and upscalled and resolves into something coherent. We can experiment with prompts, but to get seamless, photorealistic results for faces, we may need to try new methodologies and models. But I'm also trying to use img2img to get a consistent set of different crops, expressions, clothing, backgrounds, etc, so any model or embedding I train doesn't fix on those details, and keeps the character editable/flexible. Stable Diffusion 3. NEW ControlNet for Stable diffusion RELEASED! THIS IS MIND BLOWING! 2024-03-27 16:15:00. 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 Stable Diffusion v1-5 Model Card ⚠️ This repository is a mirror of the now deprecated ruwnayml/stable-diffusion-v1-5, this repository or oganization are not affiliated in any way with RunwayML. Step 4. Introduction Face Swaps Stable Diffusion 2. Any words of wisdom is much appreciated , thank you! Stable Diffusion Online is a free Artificial Intelligence image generator that efficiently creates high-quality images from simple text prompts. My quick settings list is: sd_model_checkpoint,sd_vae,CLIP_stop_at_last_layers Stable Diffusion is an open source machine learning framework designed for generating high-quality images from textual descriptions. Key Features . Let’s briefly review the key components. So yeah, tiny face will look like a garbage. 5 with 512×512 images, I see good improvements in rendering eyes in some images, especially when the faces are small. If you don't want them to look like one person, enter a few names, like (person 1|person 2|person 3) and it'll create a hybrid of those people's faces. Controversial. Diffusers from diffusers import StableDiffusionInpaintPipeline pipe = StableDiffusionInpaintPipeline. Kohya's Stable Diffusion Trainers for Windows - Kohya's SD-Trainers GUI: This repository is a treasure trove for those using Windows, offering a Gradio GUI for Kohya's Stable Diffusion trainers. Thank you very much <3 ! Add a load image node, select a picture you want to swap faces with, and connect it to the input face of the ReActor node. Q&A [deleted] • • New Tutorial: Master Consistent Character Faces with Stable Diffusion! 4. It simplifies the training process by allowing you to set parameters and automatically generate the necessary CLI commands. The ones that I keep coming across all seem to be trained on the same face and end up looking like this: Always the same nose, same face shape, same mouth. I could create a lot of pictures with different poses and outfits and the face stays the same (maybe 4-5 times it generated something different). I tend to like the mediapipe detectors because they're a bit less blunt than the square box selectors on the yolov ones. THE CAPTAIN - 30 seconds. This post shares how to use Stable Diffusion Image to Image (img2img) in detailed steps and some useful Stable Diffusion img2img tips. 5 series is more customizable and versatile than Stability's previous-generation tech, the company claims — as well as more performant. Hello dear SD community I am struggling with faces on wide angles. I'm a photographer (amateur). I've been trying to train a LoRA to use my face with about 20 images of myself. Some prompts were different, such as RAW photo of a woman or photo of a woman without a background, but nothing too complex. All 3 of these can produce photorealism since that depends a lot more on the keywords in the prompt than the sampler being used. Exploring the ReActor Face Swapping Extension (Stable Diffusion) 5. Now, let's look at some standout features of SD3 Medium: 1. Using celebrity names is a sure way to generate In today’s episode, we will show you how to create the same face in different images using Stable Diffusion, a tool that can generate realistic and diverse images from text prompts. We could do this by manually Inpainting in the img2img > Inpaint module, but this is a very manual process. 5 1. SD3 Medium takes a big leap forward in creating realistic hands and faces. To recap what I deleted above, with one face in the source and two in the target, Reactor was changing both faces. Usage: looking ((curious face)) looking ((curious expression)) [[serious, determined]] Tip 3: Move the expression closer to the front of the prompt Stable Diffusion 🎨 using 🧨 Diffusers. Some of the learned lessons from the previous tutorial, such as how height does and doesn't work, seed selection, I'm able to get pretty good variations of photorealistic people using "contact sheet" or "comp card" in my prompts. So what I end up doing was using img2img, generate a good image elsewhere, replaces the face with it Introduction to Stable Diffusion Level 4 . the latest version after detailer allow you to type prompt for face correction. If you want to make a high quality Lora, I would recommend using Kohya and follow this video. Your character portraits and illustrations now look more natural and convincing. It's not compatible with how SD works under the hood. The process is mechanical and time-consuming. 13. Here is my original image and settings: So far so good. I'm wondering what I'm doing wrong. It doesn’t matter which model I use, I run a few prompts and it possesses the images with a face and I can’t seem to change it. Explore tips and solutions for fixing corrupted faces and hands in SDXL-generated images on Reddit's StableDiffusion community. " Here are the steps to follow: Navigate to the I've found the best way to get the poses I want is to use a 3D rig (you can get lots of rigged basemeshes on sketchfab and turbosquid) pose them up, light them and render them, Next I'll do Paintovers and push that through SD Inpainting, If Fixing the face and the hands requires some inpainting. So if I put "attractive woman with a pony tail working out in the gym" It's always nearly the exact same face and clothes. Finally, add a save image node and connect it to the image of the ReActor node. I know this comment is old, but yes, I can. Sometimes you might have to generate 20 or 30 images to find one you like. The final workflow is as follows: Finally, there are a few parameters that need attention on the ReActor Fast Face Swap: I want to take two celebrities and mix their face to make a hybrid. I keep getting the same 10 faces for each race. This is a refresh of my tutorial on how to make realistic people using the base Stable Diffusion XL model. 11. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text Using Multiple LoRA Concepts. This is especially notable for my own race (Chinese). In this post, we explored various methods for generating hyper-realistic and consistent faces using Stable Diffusion. Face: Hands: lize a pre-trained face recognizer as the encoder and further project the face embedding to CLIP space. What are some tricks to get stable diffusion to "try" different faces? Perhaps there is some variety possible with dynamic prompts, but what else should 1. Gradient Accumulations: 2. I got better results with Leonardo. I have a great UI built off of the stable diffusion stable-diffusion-klms-gui repository in github that allows a great having problems in my prompt shaping and parameter tweaking to get groups of people to have non-twisted photorealistic faces. Stability Matrix - One-click install and update for Stable Diffusion WebUIs (Automatic1111, ComfyUI, SD. Add "head close-up" to the prompt and with around 400 pixels for the face it Stable Diffusion 🎨 using 🧨 Diffusers. In this post, we will explore various techniques and models for generating highly Load your super favorite checkpoint and generate the face for reference (512x512 will be enough), or just download some nice face portrait from the net. Usage: looking ((curious face)) looking ((curious expression)) [[serious, determined]] Tip 3: Move the expression closer to the front of the prompt A community dedicated to the discussion of the Maschine hardware and software products made by Native Instruments. But here is the prompt. Introduction - Outpainting Introduction - Consistent faces and characters . I'm trying to get this grid equally on all faces of the shape below it. The page serves as a platform for users to share their experiences, tips, and tricks related to using Maschine, as well as to ask questions and get support from other members of the community. But well, base model sucks for realistic/natural images. Use it with the stablediffusion Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways:. It uses "inspiration" images from Face Synthetics dataset and by sampling from the Stable Diffusion v1. Certain models may react differently to “expression” so try “face” as well, and add contrast with a negative to help guide narrow down the expression you’re looking for. Stable UnCLIP 2. LAION-5B is the largest, freely accessible multi-modal dataset that currently exists. App Files Files Community 20280 Refreshing. I use Automatic 1111 so that is the UI that I'm familiar with when interacting with stable diffusion models. In this post, we want to show how Because there is a lot of interest in restoring faces from blurry/damaged photographs and a lot of what the ML community are doing is pulling various algorithms from related fields of machine learning into SD, i. The goal was to make a varied, general purpose model for illustrated styles. They follow a data preprocess-ing pipeline and apply face fusion of the best reference face on the synthesized results. Optimizer: AdamW. High-Resolution Face Swaps: Upscaling with ReActor 6. 496. mp4. The methodology we employed showcases the flexibility and potential for customisation within stable diffusion models, providing a solid foundation for generating captivating and one-of-a-kind In this blog post, I'll walk you through 3 key techniques to start generating hyper-realistic human faces using Stable Diffusion. Fixing the face and the hands requires some inpainting. 5-2x upscaling. No need to train a model, but don't hesitate to upscale your image before inpainting. Advantages of the ReActor Extension over Roop 3. I purchased this stock library back in 2020 and used it for avatars in an The first face will be ADetailed with the face from the base prompt image but all the other faces - each one will be getting a random face from the __famouspeople__ wildcard just because it is in the styles dropdown. I've stuck "different faces on each person" into the prompt, and in negative prompts I've got things like [doppelgangers, identical twins, duplicates]. Next), with shared checkpoint management and CivitAI import r/StableDiffusion • SD Webui new extension - Txt/Img to 3D Model So, I'm mostly getting really good results in automatic1111 with my trained models in dreambooth, but when I get fullbody shots, the faces are often It seems that most SD models light the subjects on the left side of the face well although quite often the right side chest area and lower body are I've tried this with both Stable Diffusion and Leonardo AI. for the prompt I also use “a mother and father” or “a daughter stands next to a woman in a leather jacket” I’ll still get the same features like same body type. Anime/cartoon models look awful, photoreal models look okay-ish, but clearly not as they are advertised. I have my stable diffusion UI set to look for updates whenever I boot it up. How do I break the SDXL face affinity? Multiple celebrity names. Face Swapping Multiple Faces with ReActor Extension 7. t. 5 Large Turbo offers some of the fastest inference times for its size, while remaining highly competitive in both image quality and prompt adherence, even when compared to non-distilled models of Key Features Of Stable Diffusion 3 Medium. Developing a process to build good prompts is the first step every Stable Diffusion user tackles. Diffusion models are trained with the text people have used to caption their images; I don't know how many images in their dataset would have such a detailed caption. I have found many resources and many contradict each other. I know I could test these things myself but with Google Colab d/c ing all the time and other services being all freemium I wanted to ask first instead of wasting the precious precious limited VRAM I would like to get images without sharp shadows on faces, as in the first example. One of the weaknesses of stable diffusion is that it does not do faces well from a distance. 5 but the parameters will need to be adjusted based on the version of Stable Diffusion you want to use (SDXL models require a Stable Diffusion v2 Model Card This model card focuses on the model associated with the Stable Diffusion v2 model, available here. Used Blender to stick some glasses and facial hair onto the character video (badly) and let Stable Diffusion do the rest. It used the source face for the target face I designated (0 or 1), which is what it's supposed to do, but it was also replacing the other face in the target with a random face. “deformed face, ugly, bad face, deformed eyes, bad anatomy” Including prompts that relate to specific facial features like “cute face” or “brown eyes” often produces visually appealing faces as it highlights the emphasis on the face. There are ways but can produce them in Anything V4 and then use img2img to redraw them in more varied All images were generated using only the base checkpoints of Stable Diffusion (1. Short answer: not yet. Leaving the faces in can skew toward generating those specific faces, if you don’t have enough variety. The nose is always rounded with low bridge, the cheek With SD and with some custom models it's possible to generate really natural and highly detailed realistic faces from scratch. I've tried this a few times and the results are not great. We started with simple techniques and progressed to more advanced methods for producing highly This guide will explore how you can leverage ChatGPT to achieve a balance of diversity and consistency when describing faces for Stable Diffusion, ensuring each generated image is unique yet coherent. New Tutorial: Master Consistent Character Faces with Stable Diffusion! 4. L. First, we'll cover the fundamentals of prompt engineering to help you generate images using the base model. Advanced tip on using multiple instances of Roop for varied face swaps in one image. Here's an example with your image : Upscaled 2x with Ultramix (could have also been Esrgan or Ultrasharp) then inpaint the face with options: masked content original, inpaint at I'm using Reactor which is a fork from Roop and if I try to use it to make a consistent face, the face is always low res compared to the rest of the image. Craft your prompt. By comparison, I found that dreambooth has a better effect, but I found that if there are multiple people in the picture of the model I trained, such as "a ohwx man with a girl", then the girl My face is very similar to my face, and even the faces on some clothes and walls will become my face. Whether you're looking to visualize concepts, Certain models may react differently to “expression” so try “face” as well, and add contrast with a negative to help guide narrow down the expression you’re looking for. Is it all it can do, no. It's designed for designers, artists, and creatives who need quick and easy image creation. stableface2. 167. Understanding Stable Diffusion and ChatGPT: Stable Diffusion is a powerful image generation model that can produce high-quality and realistic images. 5: White, tired, man, wearing glasses, front face, Ultra HD, Nikon Z9, 2 Stable Diffusion xl Turbo: Black, angry, red hair, androgynous person, wearing glasses, side profile, Fujifilm XT3. It's not hidden in the Hires. Search Stable Diffusion prompts in our 12 million prompt database. fix tab or anything. The final workflow is as follows: Finally, there are a few parameters that need attention on the ReActor Fast Face Swap:. but after many attempts it seems the only way to 'fix' it is by not providing varied face expressions. CivitAI is built for a single purpose: to let user share SD models and images. Part 2 consists of 91,361 HQ 1024x1024 curated face images. prompt: "A headshot of an angel with soft shadows, colourful wings, a Cottagecore aesthetic in the style of Salvador Dali" It is upscaled with This might not work, but you could try to add the name of a person whose face might be known to the system (i. 4 text to image generator using varied face portrait prompts. the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters It may well have been causing the problem. leading to varied outcomes. EDIT: Place these in \stable-diffusion-webui\models\VAE and reload the webui, you can select which one to use in settings, or add sd_vae to the quick settings list in User Interface tab of Settings so that's on the fron t page. When I inpaint a face, it gives me slight variations on the same face. Read on! Restore Faces with AUTOMATIC1111 stable-diffusion-webui That’s good. what am I doing wrong? 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. IOW, their detection maps conform better to faces, especially mesh, so it often avoids making changes to hair and background (in that noticeable way you can sometimes see when not using an inpainting model). I keep encountering the same bunch of faces even when I adjust the age and body type. Note, this face is very unlikely to be the face of your output character, so don't count on it too much. Image-to-image is OK for this Make sure your dataset is varied enough, from angles, lighting, backgrounds, clothing, etc. a famous person). For instance, VAEs often struggle with producing sharp images, GANs face challenges with training stability and diversity, and Stable Diffusion models, while producing high-quality outputs, are computationally intensive and time Consistent character faces, designs, outfits, and the like are very difficult for Stable Diffusion, and those are open problems. Or if you want to fix the already generated image, resize 4x in extras then inpaint the whole head with "Restore faces" checked and 0,5 stable-diffusion. In no case, the new VAE performs worse. "jet black irises" is too specific for the current models. And the embedding truly reflects her redhead appearance. I kicked off another round of LoRA training, but this time I used the type style and trained it with 70 transparent PNGs of the excellent Toy Faces Library. There's no contextual data used when an image is generated It literally works by running algorithms over a field of random noise, and using the particular algorithms that are best at removing noise from images tagged with the prompts you gave it. Stable Diffusion v1-5 Model Card ⚠️ This repository is a mirror of the now deprecated ruwnayml/stable-diffusion-v1-5, this repository or oganization are not affiliated in any way with RunwayML. Various Poses. Then you can really work on the face in isolation and get a really nice result. 4 the other day, and faces were very weird and creepy. By analyzing these pairs, the AI learns to associate words and phrases with visual concepts. 0. By understanding and adjusting these settings, you can unlock the full potential of Stable Diffusion and create stunning, unique images. By understanding how stable diffusion works and how to control its effects, you can harness its power for a wide range of image processing tasks, from artistic effects to face restoration. I. Part 3 consists of 118,358 HQ 1024x1024 curated face images. This but this prompt leaves too much room for imagination. We use wa-vy instead of wavy because 'wavy style' I'm able to get really good realistic looking faces in my prompts, but the issue I'm running into (which I think might be a common issue) is that I'm seeing basically the same face every time. Men in Various Poses Facing the Camera. Sure the results are not bad, but its not as detailed, the skin doesn't look that natural etc. stabilityai / stable-diffusion. Running on CPU Upgrade. Installation Guide: Setting Up the ReActor Extension in Stable Diffusion 4. This solves a common frustration with AI image generation. Guide: How to Control Facial Expressions in Stable Diffusion? In the world of AI painting, facial expression prompt words are a key element in shaping a character's image. 1. Cropping to remove the face will train it to generate pictures like that. The face is consistent across these images. Updated: Oct 4, 2024. In my experience, Stable Diffusion will happily render any skin tone with the trained clothing, even if none of the models were of that ethnicity in the training data. However Stable Diffusion is a deep learning, text-to-image transfer model introduced in 2022. I am trying to find a solution. With any current sampler and SD model, you'll probably have to use a face fixer like GFPGAN or Codeformer to put the final finishing on the faces though. stable-diffusion-v1-4 Resumed from stable-diffusion-v1-2. Suddenly, all How to avoid them? No matter the model, no matter the settings, face is always distorted. Hardware: 32 x 8 x A100 GPUs. 5. In this article, we will embark on an exploration of various popular realistic-style checkpoint models, delving into the distinct artistic approaches that can be derived from a single prompt. 63 votes, 48 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, Step 7: Integration with Stable Diffusion and ReActor. The new Stable Diffusion 3. style. v1. You could try to caption for it but if every single picture is cropped like that I doubt you could caption it out. Dreambooth and LoRA . float16, ) prompt = "Face of a yellow cat, high resolution, sitting on a Despite the success of these models, each comes with inherent limitations that can hinder their effectiveness in certain applications. Consistent character faces, designs, outfits, and the like are very difficult for Stable Diffusion, and those are open problems. I went through tons of tutorials on youtube but I could not find any way how to paste face A to face B without training models which is quite time consuming if you want to use the face only once. Don’t worry, we’ll explain those words shortly! Its ability to create amazing images from text descriptions has made it an internet sensation. New stable diffusion finetune (Stable unCLIP 2. It is trained on 512x512 images from a subset of the LAION-5B database. Modifications to the original model card are in red or green. Usage: looking ((curious face)) looking ((curious expression)) [[serious, determined]] Tip 3: Move the expression closer to the front of the prompt prompt: "A headshot of an angel with soft shadows, colourful wings, a Cottagecore aesthetic in the style of Salvador Dali" It is upscaled with Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. While stable diffusion can sometimes distort faces, careful adjustment of the diffusion parameters and the use of tools like AUTOMATIC1111 stable-diffusion-webui can help restore them effectively. A set of simple notebooks to create a clear understanding on Stable Diffusion aspects like sampling, architecture, CFG, attention layers, inverse scheduler, pivotal inversion, image reconsutrction and prompt2prompt editting which we utilise to achieve hyperreaslitic results to edit any real-world face and build a pipeline to build your own face app. 5 Large leads the market in prompt adherence and rivals much larger models in image quality. rjvnsy slcxdg uwyva rltro iblnuyd qpfqy yswa nqbko vplazl toujiyu