Stable diffusion celebrity faces list

Stable diffusion celebrity faces list. The model encounters difficulties with complex tasks involving compositional elements, such as creating an image that depicts “A red cube on top of a blue sphere. fashion editorial, a female model with blonde hair, wearing a colorful dress. 2 is available. Best SDXL Model: Juggernaut XL. Hi everyone, this is my first post here :) This topic has been covered many times so I'll keep it short. 7 installed. 1. Try generating with "hires fix" at 2x. If you notice someone I missed, tell me. sd-mui. Keyword swapping allows you to blend two readily recognizable faces together to form a new one. After tinkering around with Stable Diffusion for a bit, I recalled seeing a couple prompts of The Great Wave Off Kanagawa by Vincent van Gogh from Imagen and MidJourney and wondered how Stable How do I prompt to get a face that is an avarge of 3 or more celebrity faces ? For instance I'd like to combine: 'Penelope Cruz, Cameron Diaz, Heidi Klum and Salma Hayek' Greetz, MrLunk p. 1. Diffusers now provides a LoRA fine-tuning script that can run Images generated with Stable Diffusion WebUi - Altryne Prompt: Portrait of Girl walking on the beach, illustration of <ARTIST>, conceptual art Number of artists: 45 Jun 22, 2023 · This gives rise to the Stable Diffusion architecture. It has a lot more celebrity and artist prompt recognition than 2. A comprehensive artist study conducted by weirdwonderfulai. Training data is most likely going to skew toward current cultural information, and the further back in time you go, the less exposure there will be for any number of celebrities that were quite well known at the time. In the realm of AI-generated art, Stable Diffusion stands as a powerful tool for creating hyper-realistic images. I would like to have faces similar to models in Pinterest. Install the Composable LoRA extension. Secondly, you must have at least a dozen portraits of your face or any target object ready for use as references. Some artist styles strongly apply a certain face type, but it's hard to keep the face and not the Aug 7, 2022 · Like Dall-E 2, Craiyon (Dalle Mini), MidJourney, Latent Diffusion, and Disco Diffusion, Stable Diffusion takes text as a prompt and generates images. A decoder, which turns the final 64x64 latent patch into a higher-resolution 512x512 image. Except for who are very well represented in the training image set (e. Users can generate NSFW images by modifying Stable Diffusion models, using GPUs, or a Google Colab Pro subscription to bypass the default content filters. ago. Stable Diffusion Models, or checkpoint models, are pre-trained Stable Diffusion weights for generating a particular style of images. Stable Diffusion Portrait Prompts. New stable diffusion finetune ( Stable unCLIP 2. Feb 12, 2024 · With extensive testing, I’ve compiled this list of the best checkpoint models for Stable Diffusion to cater to various image styles and categories. But I've found the most effective way is to either use a celebrity or combination of celebrities to create a unique new face. This is especially notable for my own race (Chinese). Same for other people that are not big celebrities and also, let's face it, NSFW content. This extensive collection includes renowned masters, contemporary creators, and emerging talents. 5 was released in Oct 2022. 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. Introduction - Consistent faces and characters. This technique works by learning and updating the text embeddings (the new embeddings are tied to a special word you must use in the prompt) to match the example images you provide. I’ve covered vector art prompts, pencil illustration prompts, 3D illustration prompts, cartoon prompts, caricature prompts, fantasy illustration prompts, retro illustration prompts, and my favorite, isometric illustration prompts in this Feb 29, 2024 · The use of celebrity names as prompts is your initial, solid bet for face consistency. Next, using your lists, choose a hair color, a hair style, eyes, possibly ears, skin tone, possibly some body modifications. however if you want to teach a style, textual embeddings are said to be better. Sampling steps: 20. A LoRA (Localized Representation Adjustment) is a file that alters Stable Diffusion outputs based on specific concepts like art styles, characters, or themes. There are lots of REALLY famous celebs who were famous for a long time before SD came out - with thousands and thousands of hi-res photos on the web - but the vast majority are not great likenesses. My post links to websites that allow you to use Stable Diffusion. Before the last update, it only changed the face/faces specified in the target image field. Apprehensive_Sky892. Even if your picture has multiple subjects, I'd be surprised if that negative prompt affects the similarity of their hair. and again high steps around the 90s and above. Research and create a list of variables you'd like to try out for each variable group (hair styles, ear types, poses, etc. First, we collect about 1,500 celebrity names as the initial collection. The face's area size is too small to trigger the "face restoration". 16 out of the 25 are various bob cuts with the littles a little bit different. It produces slightly different results compared to v1. Creating AI “fake” of Emma Watson being a problem but go ahead and do whatever you want with Will Smith A Little Trick For More Realistic Celebrity Faces and Likeness. 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. Each time I add 'full body' as positive prompt, the face of the character is usually deformed and ugly. Apr 13, 2023 · Let’s start with a simple prompt of a woman sitting outside of a restaurant. I'm trying to create a korean character and the results give me identical facial features. 5 for best results. If you put in a word it has not seen before, it will be broken up into 2 or more sub-words until it knows what it is. 85 billion image-text pairs, as well as LAION-High-Resolution, another subset of LAION-5B with 170 million images greater than 1024×1024 resolution (downsampled to 6 days ago · Check out the Stable Diffusion Course for a step-by-step guided course. Unlike most other models on our list, this one is focused more on creating believable people than landscapes or abstract illustrations. Open Source, MIT licensed; built with NextJS, React and MaterialUI. }" to make it Jan 26, 2024 · 26. It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare. • 9 mo. Install a photorealistic base model. Multiple celebrity names. Like "same haircut", just to grab a random example. Collaborate on models, datasets and Spaces. s. to get started. M. 0: it seems pretty obvious they removed (by hand) the young female celebrities (Watson, Johansson,) but don’t care at all about male celebrities. Adele ( Lora | Embedding) Alexandra Daddario ( Embedding) Alison Brie ( Embedding 1 | Embedding 2) Alycia Debnam-Carey ( Embedding) Alyson Hanningan ( Embedding 1 | Embedding 2) If stable diffusion's datasets are lackluster, and extremely limited then it will become just plain boring. Install the Dynamic Thresholding extension. Full model fine-tuning of Stable Diffusion used to be slow and difficult, and that's part of the reason why lighter-weight methods such as Dreambooth or Textual Inversion have become so popular. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Aug 30, 2022 · Stable Diffusion’s initial training was on low-resolution 256×256 images from LAION-2B-EN, a set of 2. Stable Diffusion consists of three parts: A text encoder, which turns your prompt into a latent vector. Restart Stable Diffusion. Noticing some odd things when it comes to generating celebrity's photos with Stable Diffusion. I've found that using these 4 tips I learned from other reddit posts can produce fantastically consistent faces - even across different SD models! 3D Character The Prompt The prompt: Tiny cute ninja toy, standing character, soft smooth lighting, soft pastel colors, skottie young, 3d blender render, polycount, modular constructivism, pop surrealism, physically based rendering, square image Block Structures Prompt Gallery The prompt: Tiny cute isometric temple, soft smooth lighting, soft colors, soft colors, 100mm lens, 3d blender render, . From what I gather it's a multi-step process to get really realistic looking faces. Sep 26, 2023 · Stable Diffusionの『Restore faces』の導入方法. 1-768. art". Thank you very much <3 ! Aitrepreneur on Youtube has a video showing how to do this, among other things. Person/Character Training: use 30-100 images (atleast 20 closeups and 10 body shots) face from different angles, body in different clothing and in different lighting but not too much diffrence, avoid pics with eye makeup. Feb 12, 2024 · Here is our list of the best portrait prompts for Stable Diffusion: S. This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "Lexica. Some fictional characters have face shapes and hairstyles that can influence the output. •. Those methods require some tinkering, though, so for the Any tips on how to do this? Sort by: crystaltiger101. Prompting a mix of celebrity names (in positive and negative prompts) is still the best way I've seen to influence face shapes, nose shapes, hairstyles, etc. People like Sophie Turner and Emma Watson are well-represented. A newer version v0. Photo of a man with a mustache and a suit, plain background, portrait style. 4) ☝️Works well. Jan 27, 2023 · stable-diffusion Inference Endpoints Has a Space text-generation-inference AutoTrain Compatible Carbon Emissions Merge Mixture of Experts Eval Results 4-bit precision Other with no match custom_code 8-bit precision Prompt: a beautiful female, photo realistic, 8 k, epic, ultra detailed, by gustave dore, by marco turini, by artgerm, deviantart in the style of tom bagshaw, cedric peyravernay, peter mohrbacher by william - adolphe bouguereau, by frank frazetta, symetrical features, joyful. 19M • 210. The stranger the the better. Maybe this is known already but, I've been having decent results by adding the phrase "in the style of a caricature" or "in the style of a cartoon caricature" in the prompt (of course with celebrity name), and then as desired, including words like "cartoon" and/or "3d" in the Mar 22, 2023 · Stable Diffusion can run on Linux systems, Macs that have an M1 or M2 chip, and AMD GPUs, and you can generate images using only the CPU. Having three tokens and class names back to back for each prompt is pretty unwieldy, but as you can see it gives consistent results! I plan on training a model when I've cherry-picked the best images and sharing it on Civitai. It is probably more meaningful to ask what celebrity images were used to fine-tune SDXL, which presumably is done with a more selective, higher quality set filled with images of Never use face restoration on celebrities. Prompt: photo of young woman, highlight hair, sitting outside restaurant, wearing dress. Starting with a Detailed Prompt: A Foundation for Character Consistency. A few. 5 base model. you dont need a specific model per face or even an embedding, even the base model can do most celebrities. Best Overall Model: SDXL. 5 are the base for most of the models that people have created. 0-inpainting-0. PLMS seems to be a bit more stable especially when using highres fix with latent exact. Generation There are some good ideas in here. In this article, I’ve curated some tools to help you get started with Stable Diffusion. You would be better off going on pintrest and looking up hairstyles in order to get some good variety rather than asking chatgpt for the initial list. No. 4. But the downside is the faces are too recognizable. Dreambooth is considered more powerful because it fine-tunes the weight of the whole model. Dec 21, 2022 · Celebrity name is a strong effect. List part 3: Google Colab notebooks . Faster examples with accelerated inference. However, the newly-added concept from previous customization methods often shows weaker combination abilities than the original ones even given several images during training. Please ensure that the facial features are Jan 26, 2023 · LoRA fine-tuning. 4 I believe. I'm testing it now and it's promising. Thanks for this awesome, list! My contribution 😊. Switch between documentation themes. 3 billion English-captioned images from LAION-5B‘s full collection of 5. }$, Stable Diffusion, to generate innovative concepts, such as the users themselves. 5 and Midjourney to combine celebrities like Leo di Caprio, Zendaya, Kylie Jenner with superheroes like the Hulk, Wonder Woman, Thor and e Oct 20, 2023 · Generate Stable Diffusion NSFW images using Google Colab. and get access to the augmented documentation experience. requires too much experiment with different configuration. Charo was a B-list celebrity and her prime popularity was in the 60s into the 70s. First is to focus on the face. Protogen is another photorealistic model that's capable of producing stunning AI images taking advantage of everything that Stable Diffusion has to offer. 5 is feasible, but can only be hopeful that there's a way around this. まず、 『Restore faces』を利用するためには、画面上に表示させる必要があります 。 以前は「txt2ing」の操作画面上でデフォルトで表示されていたのですが、現在では、 自分で設定して使えるようにしなければなりません 。 Apr 16, 2023 · 8. By using names of actors and actresses, it is easy to generate good-looking faces. Feb 14, 2023 · The best NSFW models you can find on Civitai are : URPMv2. (Note: Plms and Lms does not work in the old version of highresfix) the eular, dpms, and ddim are your more popular samplers. Helen Stavros. It’s great for people that have computers with weak gpus, don’t have computers, want a convenient way to use it, etc. Best Anime Model: Anything v5. Second is to use celebrity mixed faces, the database seems more coherent when you add some movie or music stars in the mix, if you don’t want the result spot,look like one too much just use 3 or more, it works pretty well for me. A sample prompt could be as simple as "Portrait of a youthful lady, vibrant highlights, at an outdoor bistro, attired elegantly. 1, Hugging Face) at 768x768 resolution, based on SD2. Yekta Güngör. Read part 1: Absolute beginner’s guide. Stable Diffusion v2. By default, Colab notebooks rely on the original Stable Diffusion which comes with NSFW filters. But you can find all these celebrities on civitai. A lot of these are useless, though. Stable Diffusion is an open source AI model to generate images. Dec 18, 2023 · December 18, 2023. art showcases the model’s ability to emulate styles by processing prompts with Oct 10, 2022 · Stage 2: Reference Images to train AI. So 4 seeds per prompt, 8 total. Please follow the steps outlined below: Textual Inversion. , Emma Watson), for many other ones you need to use a Textual Invesion or Lora. Now I tried the same thing and simply replaced (queen Elizabeth) by (pretty model), (random names), etc, with very mixed results. I update with new sites regularly and I do believe that my post is the largest collection of Stable Diffusion generation sites available. Also random well known people in the negative might help to nudge you away from the 'standard face'. This doesn't really have a good selection of hairstyles. 5) Most of these models require vae-ft-mse-840000-ema-pruned so make sure you have it and that it's activated in your settings. 3 to 0. Model: Stable Diffusion v1. I got img2img to do what I want eventually: try lowering the strength and increasing the steps. 1 (UberRealisticPornMerge) Any of the Protogen models you like. Reactor. This initial stage is where you define the core attributes of your Stable Diffusion 1. 01. . I thought using 1. just change the prompt to match the person. PurpleAfton. Same Setting both times. Skin colors do not match but face orientation is OK. With LoRA, it is much easier to fine-tune a model on a custom dataset. CFG Scale: 7. 7. 4 (didn't manage to get good results with 1. If you're currently on the latest version and want to utilize this workflow, make sure to roll back to Stable Diffusion version 1. (person a/person b/person c:1. The short answer is, probably any celebrity who has more than say 1000 captioned, publicly available images on the internet probably has been used to train SDXL 😂. Priya Desai 3 trained models of different celebrities merged = new consistent human. ← Text-to-image Philosophy →. Edit: this is a screenshot the original was bigger than 20 MB. 27. Text-to-Image • Updated Sep 3, 2023 • 1. Dreambooth and LoRA. for faces the best one is dreambooth for sure. 2. Probably after some experiments with different models and prompts it could be improved. Billie Eilish isn't, and that's just how it is. Creating a character in Stable Diffusion SDXL begins with crafting a detailed and precise prompt, a critical step that sets the tone for your entire character creation process. This level is only reachable with Lora's right now. A diffusion model, which repeatedly "denoises" a 64x64 latent image patch. 11. Stable UnCLIP 2. Size: 512×768. Browse celebrity Stable Diffusion models, checkpoints, hypernetworks, textual inversions, embeddings, Aesthetic Gradients, and LORAs Jan 31, 2024 · Stable Diffusion Illustration Prompts. Detail Tweaker LoRA (细节调整LoRA) ADMIN MOD. Try one from a low weight of about 0. Once you consistently get images in the style you want, do a run of 100 images and pick the ones that look like you. , the methods used in deepfake videos over the past six years), the deepfake detection research sector has produced very few 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. Just my 2 cent on celebrities since 2. You can create your own list of wildcards by telling ChatGPT this: The Lora method does have one limitation: they are trained on real or anime faces, meaning that they will introduce some new biases based on those images, such as adding long hair to a man with short hair if they were mostly trained on women, altering the chin structure, and so on. lora also have a lot of configuration therefore it is really hard to make it work properly. I’ve categorized the prompts into different categories since digital illustrations have various styles and forms. Two main ways to train models: (1) Dreambooth and (2) embedding. Then, we manually filter the initial one to m = 691 m = 691 names, based on the synthesis quality of text-to-image diffusion model (stable-diffusion} with corresponding name prompt. Join the Hugging Face community. Everyone can tell who he or she was, and you lost novelty. This is part 4 of the beginner’s guide series. Stable Diffusion . 1 A collection of wildcards for Stable Diffusion + Dynamic Prompts extension. 5 based model to fix faces generated in SDXL will be a total failure. First make the body, then you generate a portrait of the face, using an image editor you can replace the original face with the one from the portrait, use img2img to smooth out the face along with using one of the face fixing models (gfpgan for instance) then 1. Nov 13, 2023 · Author Archive. If you’re ok with changing the subject entirely then you could just use I noticed this when investigating why some celebrity names return strange faces that weren’t helped by the decreased attention trick. Best Realistic Model: Realistic Vision. Oct 21, 2022 · Stable Diffusion Tools & Resources Oct 21, 2022 • 9 min read. 6 days ago · An advantage of using Stable Diffusion is that you have total control of the model. Let’s use the v1. Maybe so. Now it's changing every face in the target image no matter what I designate. The nose is always rounded with low bridge, the cheek bones are sharp and the lips are too small and "dolly" like. Thanks! The Stable Diffusion Guide 🎨. A key challenge, however, is generating consistent faces, especially when seeking a balance between recognizability and originality. vercel. I cannot get a silly or intense expression. The aspect ratio has already been set to portrait (512 * 768), still the AI was more likely to generate an upper-body only result, unless I described something about the legs (in Jun 1, 2023 · Exquisite demand exists for customizing the pretrained large text-to-image model, $\\textit{e. app. 0. The words it knows are called tokens, which are represented as numbers. • 1 yr. We thus propose a new personalization Ive been using f222 and Hassen to create really realistic faces, but every expression seems muted. All of a sudden reactor is behaving differently in a1111 with multiple faces in an image. Later, each filtered name is tokenized and encoded into a celeb embedding group gi g i. If it’s specifically the face you want to change, I would suggest using Adetailer and then for the face prompt use a wildcard list of various first names with Dynamic Prompts. I used two different yet similar prompts and did 4 A/B studies with each prompt. Compose your prompt, add LoRAs and set them to ~0. Using the power of ChatGPT, I've created a number of wildcards to be used in Stable Diffusion by way of the Dynamic Prompts extension found in the Automatic1111 fork. Textual Inversion is a training technique for personalizing image generation models with just a few example images of what you want it to learn. 0 is staggering, reaching over 4000 names. If the faces are already of famous people already in the model, you could just use wildcards or AUTOMATIC1111's built-in feature of using " {1$$ celeb1 | celeb2 | celeb3 | etc. 0 to 1. With it, you can generate images with a particular style or subject by applying the LoRA to a compatible model. So Ai enthusiast are ok dealing with the weaknesses. You can make NSFW images In Stable Diffusion using Google Colab Pro or Plus. List part 2: Web apps (this post). Jul 5, 2023 · diffusers/stable-diffusion-xl-1. com. " By infusing a strong name like "Emma Watson" into Stable Diffusion, all generated faces possess a whisper of Emma's features Aug 28, 2023 · Stable Diffusion v1. Feb 22, 2023 · This list is in the making, so not all links will be working. About that huge long negative prompt list Comparison. Under construction 🚧. I had the same idea and spent a few hours on this yesterday. 29-year-old male with a boyish face, sandy blond hair, and a mischievous glint in his eyes. Protogen. The list of artists recognized in Stable Diffusion XL (SDXL) 1. Anton Chekhov. Best Fantasy Model: DreamShaper. Say I have a source image with one face (0), and a target with two faces, one left (0 You could try names alone or in combination, or use prompt scheduling to blend them together. It is like DALL-E and Midjourney but open source, free for everyone to use, modify, and improve. Jan 4, 2024 · The CLIP model Stable Diffusion automatically converts the prompt into tokens, a numerical representation of words it knows. 5. Stable Diffusion is the primary model that has they trained on a large variety of objects, places, things, art styles, etc. Prompt: Ultra realistic photo, (queen elizabeth), young, stunning model, beautiful face, intricate, highly detailed, smooth, art by artgerm and greg rutkowski and alphonse mucha, stained glass. For better faces inside SD, you can use more descriptive words like, beautiful or highly detailed. Read part 3: Inpainting. g. For example, cannot get someone to cry tears, laugh out-loud, yell till their face turns red, or make a scary face. 6 (up to ~1, if the image is overexposed lower this value). Stable Diffusion in particular is trained competely from scratch which is why it has the most interesting and broard models like the text-to-depth and text-to-upscale models. HassanBlend 1. Jennifer Lawrence about 90% ends up looking mostly normal with some slight uncanniness at times, Miranda Cosgrove on the other hand ends up looking extremely uncanny close to 100% of the time. I've found Analog Diffusion doesn't do great faces with full bodies, though it does ok when just the legs are cut off. Stable Diffusion. Mobile-first PWA with multiple models and pipelines. 5's dataset and integrating future features like depth to image to 1. I keep encountering the same bunch of faces even when I adjust the age and body type. You can create your own model with a unique style if you want. Weights the first input highest. I keep getting the same 10 faces for each race. Seed: 1504743443. If you don't have a powerful GPU, don't worry. This is your baseline character. List part 4: Resources . e. Sampling method: DPM++ 2M Karras. 70-year-old female with sagging skin, striking blue eyes, and a mane of snow-white hair. Sort by: Best. lazyspock. 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. riftopia. Keeping 1. It is unable to produce legible text within generated images. r/StableDiffusion. v1. ” Lately I've been encountering the same problem frequently. Consistent Faces and characters. AI Model Addon. 5 may be the ideal way to go? I'm unsure if getting features from 2. 4 and 1. This article explores methods to achieve this balance, focusing on the use of celebrity This may help somewhat. avoid stablediffusion base model beacause it is too diverse and we want to remain specific. ). Download a styling LoRA of your choice. But I like the mid-torso and up portraits it makes and thought this was a good starting image that showed interesting clothing/hair/face and the face and body were at an interesting angle. There is a Colab/Repo of an image-to-image AI specifically Consistent faces WITHOUT celebrity likeness. Read part 2: Prompt building. The smallest the worst, you can always uncrop later using the img2img tools. For now please visit this very in-detail blog post. There are many of them on civitai. Settings for all eight stayed the same: Steps: 20, Sampler: Euler a, CFG scale: 7, Face restoration: CodeFormer, Size: 512x768, Model hash: 7460a6fa. Nov 1, 2023 · Limitations of the Hugging Face Stable Diffusion Model: The model does not attain absolute photorealism. 34-year-old male with ebony skin, a clean-shaven face, and a pronounced widow's peak. 3. Use syntax or use a celebrity blend like ( actor1 | actor2 | actress3 ) Since the direction will alternate between generations the tug on the face will go into a specific directions each time, ending up with something new. 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 denoise. Explore thousands of high-quality Stable Diffusion models, share your AI-generated art, and engage with a vibrant community of creators Stable Diffusion NSFW refers to using the Stable Diffusion AI art generator to create not safe for work images that contain nudity, adult content, or explicit material. I use Automatic1111's gui But Stable Diffusion is not going anywhere, while Dall-e 3 celebrities look mostly great it's not lifelike. Download the LoRA contrast fix. Nov 22, 2023 · To ensure proper functionality of the mov2mov extension, it's essential to have Stable Diffusion version 1. 2024. For example, if you search for “Alison Brie” on Clip Front and increase the “aesthetic score” and aesthetic weight” you get a bunch of images of clothes from Pinterest, likely incorrectly labelled Stable Diffusion Dataset. The general consensus is that it is slightly better, but the different is small. gg bs xz mq ar ph kn wm fb kt