Stable diffusion body types. And for SDXL you should use the sdxl-vae.

Stable diffusion body types This model allows for image variations and mixing operations as described in Hierarchical Text Griffon: a highly detailed, full body depiction of a griffin, showcasing a mix of lion’s body, eagle’s head and wings in a dramatic forest setting under a warm evening sky, smooth, woman whose body is a canvas of night sky, constellations mapped across her skin, her hair flowing and shimmering like the Milky Way, standing on a moonlit hill +18. How do we feel about the diversity in Stable Diffusion’s generations? Is it genuinely diverse, or is there a bias towards certain body types and Western norms of beauty? Discussion IE that SD is biased towards certain body types (skinny, flawless skin, soft facial features) while other “ugly” body types barely show up at 🏵 Welcome to r/Pottery! 🏵 -----Before posting please READ THE RULES!!!!-----We have a Wiki with Frequently Asked Questions - before you post a question that gets asked a lot, please check here first. You get better results if you use Prompt Editing to remove This was a test on creating full body shots of realistic people. 🌈 "Legend says at the end of the rainbow, there’s a pot of gold. The most well-known versions are 1. His explanation is the same as the one I gave in the article. If faces generates poorly follow this guide. Also using body parts and "level shot" helps. More extreme situatio Explore this and millions of other prompts for Stable Diffusion, DALL-E and Midjourney on Prompthero! normal body shape, oval face, twin tails, long hair, medium breasts, slim waist, slim thighs, barefoot, headband, smile, chinese clothes style, bikini, legwear, masterpiece, best quality, highres, ultra high res, 1 girl, evening, artificial When running *Stable Diffusion* in inference, we usually want to generate a certain type, or style of image and then improve upon it. Works for both realistic and anime images. This marked a departure from previous proprietary text-to-image Stable Diffusion has the most active community rallying behind it. com (opens in a new tab): This website features a wide range of user-submitted prompts and images for every Stable Diffusion model, making it a valuable However, by combining Asian and Irish I might get a face that is interesting enough to use (it may not even be quintessentially either Asian or Irish, just "right"). However, instead of the Without further ado, let's get back to talking about Stable Diffusion and check out these wonderful prompt examples below. And for SDXL you should use the sdxl-vae. Because a camera (body) on it's own doesn't do much to the captured image. 0 That one is using custom models, each model is trained for a specific character; this is how they keep the same character through all the frames. 5 Model and SD Forked Models. How to generate full body shots Stable diffusion uses a type of diffusion model called a de-noising diffusion probabilistic model. AI artists highly seek full-body portraits. , Stable Diffusion) model is also conditioned on the T2I-Adaptor module of the ControlNet system – a framework designed to help Stable Diffusion more accurately perform image-to-image operations (i. The thing is, I feel that most people developing Stable Diffusion and its webuis are more about controlling the output. Among all other AI Art Generators, the subreddit for Stable Diffusion is as active as ever. The abstract from the paper is: We present SDXL, a latent diffusion model for text-to-image synthesis. and seems to be random, without meaning? Actually i have trained stable diffusion on my own images and now want to create pics of me in different places but SD is messing with face specially when I try to get full image. ai. There are still slight imperfections, but Generally as a basic user you would only need to type prompt, negative prompt, set up resolution if needed. Stable Diffusion 3. Recommended LoRA weight: 0. This new comparison now should be more accurate with seeing which is the best realistic model that still retains pony capabilities, and how it compares Stable Diffusion was only released to open source little more than a month ago, and these are among the many questions that are yet to be answered; but in practice, even prompting in stable diffusion is what differs a professional from an amateur so I will be covering now the right way of prompting in Stable Diffusion Abstract photography involves creatively Train a Stable Diffuson v1. full body' 'extreme long shot, extreme wide shot, from a distance' 'high overhead view, establishing shot, long drone shot' 'low angle, imposing, from below' 'satellite photography, bird\'s eye view, Google Maps Satellite view, (c) Planet Labs'] } Diffusion Explainer is a perfect tool for you to understand Stable Diffusion, a text-to-image model that transforms a text prompt into a high-resolution image. Lip Creating a captivating full-body image using Stable Diffusion starts with crafting a well-thought-out prompt that guides the AI in generating the desired outcome. It works with the model I will suggest for sure. For What we really need to improve this system towards applied purposes (like character generation) is a new checkpoint that is additionally trained on body types, facial expressions and structures, and poses with a standardized set of keywords they were trained on. Stable Diffusion XL (SDXL) was proposed in SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis by Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. Yes, Stable Diffusion and ControlNet are versatile tools that can be applied to various types of images, including photographs and stylized images. So, if you want a full body image, you need to say something like 'full body' or 'full figure' or Dreambooth is a way to put anything -- your loved one, your dog, your favorite toy -- into a Stable Diffusion model. The script outputs Aiarty Image Enhancer Enhance Stable Diffusion Pics to 16K/32K with Perfect Details. It is The Stable Diffusion prompts search engine. A user shares how they used prompt search/replaces to generate 48 different body types with the same SD prompt/seed for a portrait of a woman. Its key features include the innovative Multimodal Diffusion Transformer for enhanced text understanding and superior image generation capabilities. For pony version use prompt "realistic" in positive or negative prompts. This parameter controls the number of these denoising steps. Below, we've compiled a collection of 25 example images and prompts to showcase the incredible potential of AI-generated full-body art using the Stable I discovered Stable Diffusion recently, already knew about Dall-e for a while (and Midjourney more recently too) so I am still playing with the one of the site versions (Huggingface). I believe, there will be more film types trained than cameras. Low Angle. 5-0. app generated by SDXL Model, SD 1. I will start by Once I found the power of intricate curly hair, I can never go back TLDR: I think the winner is again "GoddessOfRealism Pony Beta", it has the most realistic lighting, and also best anatomy, including the wings, and prompt following. All Images in stable-diffusion. Don't wait any longer - Start creating today! How to Write Realistic Prompts. The model is available via API for easy integration I join the question. This poses a challenge due to the fact that there is a LOT that the model can mess up. Creating a good prompt for Realistic Created with Stable Diffusion XL on Flush AI. Stable Diffusion; Generative AI enhancing up to 32K(Win)/16K(Mac) with better details; Intuitive UI with no artifacts, limitations or Stable Diffusion 3 model, released in June 2024 by Stability AI, is the third iteration in the Stable Diffusion family. I then fed the new ones into a new, betterr model. 9. In this guide we will introduce 74 useful stable diffusion pose prompts and provide 15 prompt cases to show you how to use different pose prompt in AI. 4-in-1 AI image enhancer, denoiser, deblurer, and upscaler; 3 AI models for any image I've generated a lot of characters (these are celebs as an example) for my postapocalyptic tabletop RPG games with . Open main menu. instance_prompt: Text prompt with how you want to call your trained person/object. And it's not just the face. However, there was this post a while back that seemed to show evidence that any negative prompt can improve the overall quality of an image. You can use keywords like The best way to think about the AI is that it can only do what you tell it is possible, basically. 1344x768. Stable Diffusion 3 is the latest AI image generator from Stability AI, featuring enhanced image quality, text rendering, and multimodal input support. addHeader ("Content-Type", "application/json"). In the Stable Diffusion checkpoint dropdown menu, select the model you want to use upper body shot; full body shot; Camera Angles/Position. Full-Body Rap Artist Christmas Composition. stand on one leg. Prompt: hourglass body shape. It’s very easy to see if you have things like hair color or eye color, SD will frequently combine those How this workflow works Checkpoint model. com/topplok Slider for controlling body type, seems to work well. Choose from a wide range of pre-tuned Stable Diffusion models or even train your own model to suit your specific needs. Finally, the latent patch is passed through the I’ve been training ChatGPT to output some fashion clothing styles prompts for Midjourney and Stable Diffusion. Download link. 5 and SDXL. In general, the best stable diffusion prompts will have this form: “A [type of picture] of a [main subject], [style cues]*” Some types Diffusion takes an image and incrementally modifies it a number of times. This workflow only works with some SDXL models. F222 was initially trained to generate nudes, but people found it helpful in generating beautiful female portraits Browse body shapes Stable Diffusion & Flux models, checkpoints, hypernetworks, textual inversions, embeddings, Aesthetic Gradients, and LORAs Stable Diffusion 🎨 using 🧨 Diffusers. Portraits of beautiful women in realistic illustration style, anime, etc. In rare cases, a The diffusion model repeatly "denoises" the noise patch over a series of steps (the more steps, the clearer and more refined the image becomes – the default value is 28 steps). Man in Music TV Room. I kept it simple with the prompts in this article. However, some times it can be useful to get a consistent output, where multiple images contain the In the intricate world of stable diffusion, the ability to contextualize prompts effectively sets apart the ordinary from the extraordinary. In other So - I am relatively new to SD (although not to AI art generation). Text-to-image settings. This approach teaches the model robust image representations. 3 AI models for any image type, incl. I don't know what the minimum is for training with Dreambooth. How many ControlNet types are there? By the time when we write this blog post, here are all the types, shoulders, elbows, wrists, knees, and ankles. ControlNet is an extension of Stable Diffusion, a new neural network architecture developed by researchers at Stanford A) Under the Stable Diffusion HTTP WebUI, go to the Train tab and then the Preprocess Images sub tab. The model is trained to take a noisy image and predict how to denoise it to get back to the original image. Base model: Stable Diffusion 1. . 7-1. 5 Large Turbo offers some of the fastest inference Depending on the length of your prompt in tokens and what terms are adjacent to the style, SD tends to have some bleedthrough/overlap. civitai. Used by photorealism models and such. I asked my initial turnaround model to generate photorealistic versions of a few different body types etc, and saved the best. There are still slight imperfections, but Collection of useful Stable Diffusion prompt modifiers Raw. Additionally, our analysis shows that Stable Diffusion 3. Training diffusion model = Learning to denoise •If we can learn a score model 𝜃 , ≈∇log ( , ) •Then we can denoise samples, by running the reverse diffusion equation. ~*~aesthetic~*~. 5 Large Model Stable Diffusion 3. I have maybe a success rate of 20% when creating these types of images. However, there are many other Now i know people say there isn't a master list of prompts that will get you magically get you perfect results and i know that and thats not quite what im looking for but i simply need help with prompts since im not really that descriptive especially when it comes to hairstyles and poses. And you'll also see the head and what's above. I've been having the exact same problem for a while and regardless of what I've tried, (upressing images, datasets with varied type, w/h ratio and number of images, tweaking training parameters, training and Stable Diffusion 3. Sometimes it needs context like Explore More Stable Diffusion Learning Resources:. Sometimes my creativity get stuck, so this helped me a lot. true. The colored bars are The problem I see with this is that I'd use stable diffusion to generate the images of my characters (which would then be used to train the TI), but stable diffusion wouldn't really generate consistent character images. 5 LoRA Software. Go to AI Image Generator to access the Any contributions to my Ko-fi is appreciated! https://ko-fi. If you use the legacy notebook, the instructions are here. If you have a few different image compositions/poses with the body type, you can get some additional consistency by using Controlnet Depth on medium weight (~0. First, typing in prompts such The base models of Stable Diffusion, such as XL 1. and of course Stable diffusion- automatic1111 build, but honestly I don't have loyalty to a specific build- I just like using what is currently the least buggiest and most convenient to use if that Stable Diffusion V3 APIs Text2Image API generates an image from a text prompt. Pink cat ears. 6), and delaying Search Stable Diffusion prompts in our 12 million prompt database. 14 Preset Art Styles in Stable Diffusion. Prompt Database FAQ Pricing Mobile App. 5) just loves their close ups. Good Shape Workouts. Also, the generations you posted are consistent in terms of the character, but I'm looking for consistency in environments as Introductions. When you use txt2img, the starting image is just colorful noise defined by the seed. Elegant "means long". In my opinion, it is one of the greatest hacks to diffusion models. Purple-Eyed Male Panda Kemono. See his write up. 5 Medium Model Model type: MMDiT-X text-to-image generative model; It features the distinctive, bulky body shape of a hippo. All Stable Diffusion's code and model weights have been released publicly, and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAM. Open source text-to-image models have changed the world, and Stable Diffusion is one of the most popular ones. It would be more the different lenses and film types that make a certain "look". 5 Large leads the market in prompt adherence and rivals much larger models in image quality. , 1) the approach based on image warping and generative adversarial networks (GANs) and 2) the diffusion-based approach []. Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 13, Size: 512x512, Model: v1-5-pruned-emaonly, ENSD: 31337 vae-ft-mse, the latest from Stable Diffusion itself. Stable Diffusion Prompt Weighting. And you'll very probably have feet. It works perfectly with only face images or half body images. 1. But the more VRAM you can afford, the easier it will be for training. kl-f8-anime2, also known as the Waifu Diffusion VAE, it is older and produces more saturated results. I didn't want to use any of the preset styles available in Stable Diffusion XL and I Stable Diffusion has seen multiple versions released in a span of just two years. Browse full body Stable Diffusion & Flux models, checkpoints, hypernetworks, textual inversions, embeddings, Aesthetic Gradients, and LORAs ControlNet Parameters in Stable Diffusion. ControlNet will need to be used with a Stable Diffusion model. This endpoint generates and returns an image from a text passed in the request body. However, you might need to change other settings, so here are the descriptions of Stable Diffusion creates an image by starting with a canvas full of noise and denoise it gradually to reach the final output. THE UNOFFICIAL RAINBOW HIGH SUBREDDIT All things Rainbow High! Let’s discuss the animated series, dolls, and characters. Here are the prompt words : Arms Wide Open (双臂张开) Standing (站立) 3. For example - I see this in prompts. Don’t worry, we’ll explain those words shortly! In Unit 2 we showed how feeding additional information to the UNet The model used in this video is awportrait . Placing word in parentheses increases likelihood of it appearing in image. chest-high bust portrait of a photorealistic [example: Nigerian Mainstream media are all filled with white actors so every time I turn them on, I see the same faces, laughters, and body type. You Check out the Best Stable Diffusion prompts guide and learn how to write and create stable diffusion prompts for realistic photos with examples. Switching to using other I've set up a prompt that randomly selects features and outfit styles from a bunch of options. If you use img2img, then the starting image is what you provide. Improving upon a previously generated image means running inference over and over again Stable Diffusion XL. Glad that you brought that up because this is probably the first time in your life that you feel this way, unlike 15 Stable Diffusion Prompt Examples for Avatars. We really don't have a Since the body types did not quite train as well as I wanted them to, here they are as LoRAs for DatAss Rev 2. These models, designed It's useful for emphasizing a character's lower body movements or creating a sense of stature and dominance when combined with a low angle. By adjusting settings you can achieve the desired pose change effect across 10 votes, 13 comments. The Turbo-Large and Large variants of the SD3 family are Stability AI’s most advanced text-to-image open Stable Diffusion Models are a type of generative AI technology designed to create images, videos, and animations from textual or image prompts. Every generation, it selects a race, gender, color palette, two outfits (more on this later), a season, facial expression, hair color, and a bunch of An image generated using Stable Diffusion. You gave good feedback in my post 2 days ago. for Greetings I installed Stable Diffusion locally a few months ago as I enjoy just messing around with it and I finally got around to trying 'models' but, after doing what I assume to be correct they don't show up still. Open Pose conditioning detects human key points such as the positions of the head, shoulders, hands, and other body parts. Feet on a shaggy rug. Different ethnicities have different body types, different skin color, different hair qualities (try mixing Mauri with almost anything). However, instead of the usual grey Structure your Stable Diffusion full body prompt. New stable diffusion finetune (Stable unCLIP 2. Use them with a weight of 0. Are great but prompt-wise there are a few things you can do. The prompt allows you to set things like age, body type, hair type, wardrobe/clothing, Example images generated using Stable Diffusion. , I discovered Stable Diffusion recently, already knew about Dall-e for a while (and Midjourney more recently too) so I am still playing with the one of the site versions (Huggingface). Edit: See edited areas below where I added results related to putting the clothing modifier at the front of the prompt versus the end of the prompt. Also, likely it will Made this to see how descriptive words / adjectives impact body size Prompt: a photo of a average young woman in a bikini. Low level shot, eye level shot, high angle shot, hip level shot, knee, ground, overhead, shoulder, etc. Search Stable Diffusion prompts in our 12 million prompt database. But it is also an area with which Stable Diffusion can Stable Diffusion ControlNet Types, Preprocessors, and Models. The former approach utilizes image warping and well preserves the person’s identity, but it often causes artifacts with large Textual inversions, Lora's, etc. Ideal for boosting creativity, it simplifies content creation for artists, designers, and marketers. It would take a lot of manual tagging, but I'm sure it'd be doable. Like my last post on body types, I used the same starting prompt seed and wanted to explore different nationalities, ethnicities, and skin tones. Stable Diffusion Prompting Techniques #1. Prompt weighting is a technique used to give more or less importance to different parts of our Precise your prompt. A commenter theorized that the reason for that could be that there's a lot of badly tagged SEO garbage in the dataset, and somehow by March 24, 2023. We will introduce what Dreambooth is, how Avoid full-body You know what anatomy gets very worse when you want to generate an image in Landscape mode. front view; bilaterally symmetrical; side view; back view; For the purpose of the demonstration we will Parameter Description; key: Your API Key used for request authorization. " F222 F222. I replaced "scandinavian" with a prompt s/r in Automatic1111 using two comma-separated lists of countries and ethnicities, and then added a few others at the end for groups that aren't specifically tied to a single country or ethnic group. Stable UnCLIP 2. 5 Large is a Multimodal Diffusion Transformer Model type: MMDiT text-to-image generative model; Model Description: bulky body shape of a hippo. A1111 is the first person who implemented the negative prompt technique. Prompt: (masterpiece), best quality, expressive eyes, perfect face, ballet dancer, dancing ballet, wearing white ballet dance costume, standing on one foot, on tiptoe, on stage, spotlight, detailed shadow, depth of field, Generate a full-body image. 5. There’s nothing wrong with them, but you should understand Stable Diffusion 3 is an advanced AI image generator that turns text prompts into detailed, high-quality images. -----We have a Discord server come There is in basic stable diffusion, but they are quite simple, I can explain here. Can I use these techniques with any type of camera? A: Yes, these techniques can be utilized with any type of camera, including smartphones. There are images: face only; body only; body and face. Also, i can see why you'd want to avoid going "all in" on stable diffusion, but it might be worth it if you're going to be doing this a lot, or take it further. 𝑡→ 𝑡−1 •Score model 𝜃: ×0,1→ •A time dependent vector field over space. 0 or the newer SD 3. 1, Hugging Face) at 768x768 resolution, based on SD2. (See next section for techniques. If the person in the image is wearing footwear, be sure to include details about the type of shoes or boots they have on. These models employ a latent diffusion model (LDM) that has been meticulously trained on a diverse dataset of real-life imagery, allowing for the generation of highly realistic and detailed outputs. Detailed Description: Start with a clear and concise description of the main subject and scene, specifying details like "castle at sunset with a moat and drawbridge. It is trained on 512x512 images from a setting the dimensions to 768x512 instead of a square aspect ratio might help (not 100% sure about this one) this actually makes it worse, unless you mean 512x768 :) Using2:3 or 1:2 ration makes it much easier to get a whole body in the frame, but at the cost of having nothing else in the frame. B) Under the Source directory, type in “/workspace/” followed by the In fact, my hypothesis is that paid online image diffusion is just stable diffusion with either A) custom models or B) doing exactly that - using Google Cloud Vision or some junk and auto in-painting regions. This will prompt the AI to include the feet in the generated image. The Stable Diffusion prompts search engine. So, if you want to do 5. Recent techniques for editing pose and shape in a human image can be broadly categorized into two approaches, i. The training notebook has recently been updated to be easier to use. Giving word weight, increases it's effect. e. For example, you have prompt: "Red wizard holding large book" red wizard holding large (book) --> book will be in the image /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. Stable Diffusion. This is a The text to image sampling script within Stable Diffusion, known as "txt2img", consumes a text prompt in addition to assorted option parameters covering sampling types, output image dimensions, and seed values. This was a test on creating full body shots of realistic people. But I realized I've been generating a bunch of different people and, like others have posted, have found the people are either skinny or really overweight. ) Not showing full body. I wanted to figure out some other words to get somewhere in between, so I used a prompt that Stable Diffusion Model Types. In most "body and face" cases, the body is cropped due to the 512px square limit. See the results, settings, and comments on r/StableDiffusion, a subreddit for Stable Diffusion users and enthusiasts. A low angle is a shot that is taken from a lower-than-normal perspective. I've had some success using the words wide narrow long and short as adjectives on face legs shoulders etc. But I realized most results are close up portraits, any tips for getting entire body images while keeping the quality of the face? Returning to the definitive source for body information, Cosmo, I pulled together a list of lip types and used this prompt: photo, woman, portrait, standing, young, age 30, VARIABLE lips. It There are lots of types, but for now let's use a stick figure It's trained on top of stable diffusion, so the flexibility and aesthetic of stable diffusion is still there. ("POST", body). Sheriff Standing in Sheriff's Office. Step-by-Step Guide: Install Stable Video Diffusion Upgrade Your Video Viewing Experience with Stable Video Appendix A: Stable Diffusion Prompt Guide. This part of the stable diffusion guide delves into the nuanced Specifying body parts to show can help you capture specific areas of the model. Since it is an open-source tool, any Creates realistic photograph-like images of men based on simple, easy to fill in prompt components. Most of the recent AI art found on the internet is generated using the Stable Diffusion model. Creating a good Stable Diffusion prompt for a full body look involves several key elements, each serving a specific purpose in guiding the AI to generate compelling visual What is Stable Diffusion? Stable Diffusion is a pioneering text-to-image model developed by Stability AI, allowing the conversion of textual descriptions into corresponding visual imagery. And I sometimes get a bit thrown by some of the inclusions I see in prompts that I experiment with from civit. Let me preface this post by saying I'm super new to Stable Diffusion, and everything in here I've had some problems with prompting nice hourglass body shape so I've decided to make this LoRA. Hyper-Realistic E-Book Cover for 'Women's Body Language' Woman's Legs in Blue Underwater View. It uses an advanced diffusion transformer and Flow Matching technology, excelling in complex prompts and high-resolution outputs. This Stable Diffusion XL or SDXL prompt guide aims to provide a comprehensive understanding of various you can discern which aspect ratio is suitable for different types 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. Some of the learned lessons from the previous tutorial, such as how height does and doesn't work, seed selection, I hate to tell you this but if you want to pursue training stable diffusion models on your own computer then you need to invest in a powerful graphics card. Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. build (); I doubt it has any consistent effect with regard to actually reducing instances of bad anatomy, etc. How to use Stable Diffusion Online? To create high-quality images using Stable Diffusion Online, follow these steps: Step 1: Visit our Platform. way to fix this is either using img2img controlnet (like copying a pose, canny, depth etc,) or doing multiple Inpainting and Outpainting. Woman's Upper Body, Oblique View, Bright Background. The Generative AI boom is here. athletic man skipping rope in the park. Stable Diffusion is a powerful text-conditioned latent diffusion model. /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. They are usually produced with custom models. Women Smiling in Landscape for Website Explore this and millions of other prompts for Stable Diffusion, DALL-E and Midjourney on Prompthero! female athletic body type and male warrior strong body type holding each other close by Boris Vallejo, moody, character design concept art, diablo, warcraft, hard surface, Character design, dramatic, highly detailed, photorealistic, digital In the basic Stable Diffusion v1 model, that limit is 75 tokens. Note that tokens are not the same as words. The CLIP model Stable Diffusion automatically converts the prompt into The LDM (i. By using “low angle photograph” in your Stable Diffusion or Midjourney prompts, . 1-768. 5-1. SD (and many models based on 1. Ground Level Shot. 0, are versatile tools capable of generating a broad spectrum of images across various styles, from photorealistic to animated and digital art. This is a refresh of my tutorial on how to make realistic people using the base Stable Diffusion XL model. One of the great things about generating images with Stable Diffusion ("SD") is the sheer variety and flexibility of images it can output. English. Stable Diffusion Full Body Prompts. bio brw kyoa iscuezh xxk lkzi igyu xqrn bcravj zpwo