I just listened to the hyped up SDXL 1. 5. 3 - A high quality art of a zebra riding a yellow lamborghini, bamboo trees are on the sides, with green moon visible in the background. 3 which gives me pretty much the same image but the refiner has a really bad tendency to age a person by 20+ years from the original image. 5 as the checkpoints for it get more diverse and better trained along with more loras developed for it. Using SDXL ControlNet Depth for posing is pretty good. The three categories we'll be judging are: Base Models: Safetensors intended to serve as a foundation for further merging or running other resources on top of. We saw an average image generation time of 15. Any advice i could try would be greatly appreciated. It changes out tons of params under the hood (like CFG scale), to really figure out what the best settings are. and this Nvidia Control. 0 aesthetic score, 2. 0 will have a lot more to offer, and will be coming very soon! Use this as a time to get your workflows in place, but training it now will mean you will be re-doing that all effort as the 1. The new version, called SDXL 0. 9 sets a new benchmark by delivering vastly enhanced image quality and. Install SD. Reply. The LORA is performing just as good as the SDXL model that was trained. It can generate novel images from text descriptions and produces. I have tried out almost 4000 and for only a few of them (compared to SD 1. Step 1: Update AUTOMATIC1111. 9 model, and SDXL-refiner-0. VRAM settings. The other was created using an updated model (you don't know which is which). I figure from the related PR that you have to use --no-half-vae (would be nice to mention this in the changelog!). Hello all of the community Members I am new in this Reddit group - I hope I will make friends here who would love to support me in my journey of learning. . Click to see where Colab generated images will be saved . PyTorch 2 seems to use slightly less GPU memory than PyTorch 1. 9モデルを利用する準備を行うため、いったん終了します。 コマンド プロンプトのウインドウで「Ctrl + C」を押してください。 「バッチジョブを終了しますか」と表示されたら、「N」を入力してEnterを押してください。sdxl_train_network. 📷 All of the flexibility of Stable Diffusion: SDXL is primed for complex image design workflows that include generation for text or base image, inpainting (with masks), outpainting, and more. but if I run Base model (creating some images with it) without activating that extension or simply forgot to select the Refiner model, and LATER activating it, it gets OOM (out of memory) very much likely when generating images. The Stability AI team takes great pride in introducing SDXL 1. I haven't tried much but I've wanted to make images of chaotic space stuff like this. What is SDXL model. All prompts share the same seed. OS= Windows. Byrna helped me beyond expectations! They're amazing! Byrna has super great customer service. I rendered a basic prompt without styles on both Automatic1111 and. 5 easily and efficiently with XFORMERS turned on. 3 ) or After Detailer. So the "Win rate" (with refiner) increased from 24. google / sdxl. When you use larger images, or even 768 resolution, A100 40G gets OOM. 3 which gives me pretty much the same image but the refiner has a really bad tendency to age a person by 20+ years from the original image. 5B parameter base text-to-image model and a 6. An AI Splat, where I do the head (6 keyframes), the hands (25 keys), the clothes (4 keys) and the environment (4 keys) separately and then mask them all together. Anything non-trivial and the model is likely to misunderstand. It's the process the SDXL Refiner was intended to be used. Training SDXL will likely be possible by less people due to the increased VRAM demand too, which is unfortunate. Software to use SDXL model. Input prompts. 5 and 2. the problem is when tried to do "hires fix" (not just upscale, but sampling it again, denoising and stuff, using K-Sampler) of that to higher resolution like FHD. This powerful text-to-image generative model can take a textual description—say, a golden sunset over a tranquil lake—and render it into a. It's definitely possible. 9 doesn't seem to work with less than 1024×1024, and so it uses around 8-10 gb vram even at the bare minimum for 1 image batch due to the model being. SDXL is a larger model than SD 1. I figure from the related PR that you have to use --no-half-vae (would be nice to mention this in the changelog!). 1, SDXL requires less words to create complex and aesthetically pleasing images. Stable Diffusion XL. A new version of Stability AI’s AI image generator, Stable Diffusion XL (SDXL), has been released. subscribers . to 832x1024 upload it to img2img section. ComfyUI is great if you're like a developer because. 0, fp16_fix, etc. I understand that other users may have had different experiences, or perhaps the final version of SDXL doesn’t have these issues. 9 are available and subject to a research license. I'll have to start testing again. 5 billion-parameter base model. Installing ControlNet for Stable Diffusion XL on Google Colab. Conclusion: Diving into the realm of Stable Diffusion XL (SDXL 1. SDXL usage warning (Official workflow endorsed by ComfyUI for SDXL in the works) r/StableDiffusion • Fable's AI tech generates an entire AI-made South Park episode, giving a glimpse of where entertainment will go in the futureThe Stable Diffusion XL (SDXL) model is the official upgrade to the v1. But I need to bring attention to the fact that IXL is made by a corporation that profits 100-500 million USD per year. 5 was trained on 512x512 images. SDXL has some parameters that SD 1 / 2 didn't for training: original image size: w_original, h_original and crop coordinates: c_top and c_left (where the image was cropped, from the top-left corner) So no more random cropping during training, and no more heads cut off during inference. a fist has a fixed shape that can be "inferred" from. SDXL-VAE generates NaNs in fp16 because the internal activation values are too big: SDXL-VAE-FP16-Fix was created by finetuning the SDXL-VAE to: keep the final output the same, but. However, even without refiners and hires upfix, it doesn't handle SDXL very well. 5 easily and efficiently with XFORMERS turned on. I haven't tried much but I've wanted to make images of chaotic space stuff like this. " Note the vastly better quality, much lesser color infection, more detailed backgrounds, better lighting depth. 5 however takes much longer to get a good initial image. 5 ones and generally understands prompt better, even if not at the level. Anything v3 can draw them though. You can also use hiresfix ( hiresfix is not really good at SDXL, if you use it please consider denoising streng 0. I can generate 1024x1024 in A1111 in under 15 seconds, and using ComfyUI it takes less than 10 seconds. Once people start fine tuning it, it’s going to be ridiculous. For example, download your favorite pose from Posemaniacs: Convert the pose to depth using the python function (see link below) or the web UI ControlNet. 92 seconds on an A100: Cut the number of steps from 50 to 20 with minimal impact on results quality. You would be better served using image2image and inpainting a piercing. I tried that. ADA cards suck right now as they are slower than a 3090 for a 4090 (I own a 4090). For all we know, XL might suck donkey balls too, but there's a reasonable suspicion it will be better. Each lora cost me 5 credits (for the time I spend on the A100). 5 based models, for non-square images, I’ve been mostly using that stated resolution as the limit for the largest dimension, and setting the smaller dimension to acheive the desired aspect ratio. を丁寧にご紹介するという内容になっています。. And we need this bad, because SD1. Issue Description I am making great photos with the base sdxl, but the sdxl_refiner refuses to work No one at Discord had any insight Version Platform Description Win 10, RTX 2070 8Gb VRAM Acknowledgements I have read the above and searc. The answer from our Stable Diffusion XL (SDXL) Benchmark: a resounding yes. I just wanna launch Auto1111, throw random prompts and have a fun/interesting evening. 3)Its not a binary decision, learn both base SD system and the various GUI'S for their merits. 99. You're not using a SDXL VAE, so the latent is being misinterpreted. Oh man that's beautiful. The first step to using SDXL with AUTOMATIC1111 is to download the SDXL 1. ago. Available now on github:. This ability emerged during the training phase of the AI, and was not programmed by people. 0, the flagship image model developed by Stability AI, stands as the pinnacle of open models for image generation. Il se distingue par sa capacité à générer des images plus réalistes, des textes lisibles, des visages. How to use SDXL model . It already supports SDXL. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. 5 is version 1. On some of the SDXL based models on Civitai, they work fine. I assume that smaller lower res sdxl models would work even on 6gb gpu's. Updating ControlNet. I do have a 4090 though. There are free or cheaper alternatives to Photoshop but there are reasons most aren’t used. And now you can enter a prompt to generate yourself your first SDXL 1. In the last few days I've upgraded all my Loras for SD XL to a better configuration with smaller files. The issue with the refiner is simply stabilities openclip model. To gauge the speed difference we are talking about, generating a single 1024x1024 image on an M1 Mac with SDXL (base) takes about a minute. It also does a better job of generating hands, which was previously a weakness of AI-generated images. Switching to. Prompt for SDXL : A young viking warrior standing in front of a burning village, intricate details, close up shot, tousled hair, night, rain, bokeh. It’s fast, free, and frequently updated. Notes: ; The train_text_to_image_sdxl. This is a fork from the VLAD repository and has a similar feel to automatic1111. As an integral part of the Peacekeeper AI Toolkit, SDXL-Inpainting harnesses the power of advanced AI algorithms, empowering users to effortlessly remove unwanted elements from images and restore them seamlessly. It must have had a defective weak stitch. 0-small; controlnet-depth-sdxl-1. By. 1 - A close up photograph of a rabbit sitting above a turtle next to a river, sunflowers are in the background, evening time. 22 Jun. App Files Files Community 946 Discover amazing ML apps made by the community. 0, the next iteration in the evolution of text-to-image generation models. Music. --network_train_unet_only. 9, produces more photorealistic images than its predecessor. I recently purchased the large tent target and after shooting a couple of mags at a good 30ft, a couple of the pockets stitching started coming undone. Assuming you're using a gradio webui, set the VAE to None/Automatic to use the built-in VAE, or select one of the released standalone VAES (0. Thanks for your help, it worked!Piercing still suck in SDXL. Expanding on my temporal consistency method for a 30 second, 2048x4096 pixel total override animation. Type /dream in the message bar, and a popup for this command will appear. 9 and Stable Diffusion 1. Which means that SDXL is 4x as popular as SD1. If the checkpoints surpass 1. When people prompt for something like "Fashion model" or something that would reveal more skin, the results look very similar to SD 2. 0. 2. 0 refiner on the base picture doesn't yield good results. 0, fp16_fix, etc. (no negative prompt) Prompt for Midjourney - a viking warrior, facing the camera, medieval village on fire, rain, distant shot, full body --ar 9:16 --s 750. 9 and Stable Diffusion 1. This method should be preferred for training models with multiple subjects and styles. 0 has proclaimed itself as the ultimate image generation model following rigorous testing against competitors. The 3080TI with 16GB of vram does excellent too, coming in second and easily handling SDXL. SDXL can also be fine-tuned for concepts and used with controlnets. Next (Vlad) : 1. SDXL VS DALL-E 3. 5, Stable diffusion 2. And btw, it was already announced the 1. SDXL is now ~50% trained — and we need your help! (details in comments) We've launched a Discord bot in our Discord, which is gathering some much-needed data about which images are best. You still need a model that can draw penises in the first place. 1. For the base SDXL model you must have both the checkpoint and refiner models. Horns, claws, intimidating physiques, angry faces, and many other traits are very common, but there's a lot of variation within them all. It changes out tons of params under the hood (like CFG scale), to really figure out what the best settings are. like 838. 🧨 DiffusersSDXL (ComfyUI) Iterations / sec on Apple Silicon (MPS) currently in need of mass producing certain images for a work project utilizing Stable Diffusion, so naturally looking in to SDXL. 5 did, not to mention 2 separate CLIP models (prompt understanding) where SD 1. py の--network_moduleに networks. . Ahaha definitely. While not exactly the same, to simplify understanding, it's basically like upscaling but without making the image any larger. You buy 100 compute units for $9. I do agree that the refiner approach was a mistake. Including frequently deformed hands. 5B parameter base model and a 6. • 8 days ago. I’ll blow the best up for permanent decor :)[Tutorial] How To Use Stable Diffusion SDXL Locally And Also In Google Colab On Google Colab . NightVision XL has been refined and biased to produce touched-up photorealistic portrait output that is ready-stylized for Social media posting!NightVision XL has nice coherency and is avoiding some of the. It's official, SDXL sucks now. sdxl is a 2 step model. The refiner refines the image making an existing image better. Everyone with an 8gb GPU and 3-4min generation time for an SDXL image should check their settings, I can gen picture in SDXL in ~40s using A1111 (even faster with new. He has solid production and he knows how to make. Stable Diffusion XL 1. Here’s everything I did to cut SDXL invocation to as fast as 1. Imaginez pouvoir décrire une scène, un objet ou même une idée abstraite, et voir cette description se transformer en une image claire et détaillée. Abandoned Victorian clown doll with wooded teeth. Summary of SDXL 1. All images except the last two made by Masslevel. 9 and Stable Diffusion 1. So many have an anime or Asian slant. Feedback gained over weeks. UPDATE: I had a VAE enabled. 4 to 26. (no negative prompt) Prompt for Midjourney - a viking warrior, facing the camera, medieval village on fire, rain, distant shot, full body --ar 9:16 --s 750. tl;dr: SDXL recognises an almost unbelievable range of different artists and their styles. 5 and 2. 0 is a groundbreaking new model from Stability AI, with a base image size of 1024×1024 – providing a huge leap in image quality/fidelity over both SD 1. 24 hours ago it was cranking out perfect images with dreamshaperXL10_alpha2Xl10. 5 ever was. Following the successful release of Stable. 9. Exciting SDXL 1. Ideally, it's just 'select these face pics' 'click create' wait, it's done. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. Inside you there are two AI-generated wolves. With its ability to produce images with accurate colors and intricate shadows, SDXL 1. SDXL uses base+refiner, the custom modes use no refiner since it's not specified if it's needed. 1. 9 Refiner pass for only a couple of steps to "refine / finalize" details of the base image. Doing a search in in the reddit there were two possible solutions. btw, the best results I get with guitars is by using brand and model names. Apocalyptic Russia, inspired by Metro 2033 - generated with SDXL (Realities Edge XL) using ComfyUI. This base model is available for download from the Stable Diffusion Art website. In today’s dynamic digital realm, SDXL-Inpainting emerges as a cutting-edge solution designed to redefine image editing. Like SD 1. It must have had a defective weak stitch. You generate the normal way, then you send the image to imgtoimg and use the sdxl refiner model to enhance it. 5, but it struggles when using SDXL. Preferably nothing involving words like 'git pull' 'spin up an instance' 'open a terminal' unless that's really the easiest way. This tool allows users to generate and manipulate images based on input prompts and parameters. 0 introduces denoising_start and denoising_end options, giving you more control over the denoising process for fine. KingAldon • 3 mo. 1 so AI artists have returned to SD 1. Yesterday there was a round of talk on SD Discord with Emad and the finetuners responsible for SD XL. Last two images are just “a photo of a woman/man”. 2 or something on top of the base and it works as intended. Fooocus. I have the same GPU, 32gb ram and i9-9900k, but it takes about 2 minutes per image on SDXL with A1111. Example SDXL 1. 5 sucks donkey balls at it. The 3070 with 8GB of vram handles SD1. etc. This is NightVision XL, a lightly trained base SDXL model that is then further refined with community LORAs to get it to where it is now. Stable Diffusion XL (SDXL), is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. lora と同様ですが一部のオプションは未サポートです。 ; sdxl_gen_img. Yeah, in terms of just image quality sdxl doesn't seems better than good finetuned models but it 1) not finetuned 2) quite versatile in styles 3) better follow prompts. ) Stability AI. Hardware is a Titan XP 12GB VRAM, and 16GB RAM. 5 negative aesthetic score Send refiner to CPU, load upscaler to GPU Upscale x2 using GFPGANYou used a Midjourney style prompt (--no girl, human, people), along with a Midjourney anime model (niji-journey), on a general purpose model (SDXL base) that defaults to photographic. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. 0, or Stable Diffusion XL, is a testament to Stability AI’s commitment to pushing the boundaries of what’s possible in AI image generation. py. Maybe for color cues! My raw guess is that some words, that are often depicted in images, are easier (FUCK, superhero names and such). Based on my experience with People-LoRAs, using the 1. We've launched a Discord bot in our Discord, which is gathering some much-needed data about which images are best. If you would like to access these models for your research, please apply using one of the. 1’s 768×768. There are 18 high quality and very interesting style Loras that you can use for personal or commercial use. SDXL might be able to do them a lot better but it won't be a fixed issue. 26 Jul. SDXL models are always first pass for me now, but 1. But MJ, at least in my opinion, generates better illustration style images. このモデル. Step 1: Install Python. 0 is the most powerful model of the popular generative image tool - Image courtesy of Stability AI How to use SDXL 1. silenf • 2 mo. I ran into a problem with SDXL not loading properly in Automatic1111 Version 1. 0 release is delayed indefinitely. 2. 6:35 Where you need to put downloaded SDXL model files. (Using vlad diffusion) Hello I tried downloading the models . This GUI provides a highly customizable, node-based interface, allowing users to. So when you say your model improves hands then that is a MASSIVE claim. 5 which generates images flawlessly. when ckpt select sdxl it has a option to select refiner model and works as refiner 👍 13 bjornlarssen, toyxyz, le-khang, daxijiu, djdookie, bdawg, alexclerick, zatt, Kadah, oliverban, and 3 more reacted with thumbs up emoji 🚀 2 zatt and oliverban reacted with rocket emoji SDXL is superior at fantasy/artistic and digital illustrated images. It was quite interesting. It is a much larger model. Leveraging Enhancer Lora for Image Enhancement. these templates are the easiest to use and are recommended for new users of SDXL and ComfyUI. Users can input a TOK emoji of a man, and also provide a negative prompt for further. FFusionXL-BASE - Our signature base model, meticulously trained with licensed images. So, if you’re experiencing similar issues on a similar system and want to use SDXL, it might be a good idea to upgrade your RAM capacity. Following the limited,. 0), one quickly realizes that the key to unlocking its vast potential lies in the art of crafting the perfect prompt. With SDXL I can create hundreds of images in few minutes, while with DALL-E 3 I have to wait in queue, so I can only generate 4 images every few minutes. For your information, SDXL is a new pre-released latent diffusion model created by StabilityAI. SDXL is supposedly better at generating text, too, a task that’s historically. Try using it at the 1x native rez with a very small denoise, like 0. SDXL is a new Stable Diffusion model that - as the name implies - is bigger than other Stable Diffusion models. Dusky-crew • Lora Request. Running on cpu upgrade. And + HF Spaces for you try it for free and unlimited. Using the above method, generate like 200 images of the character. 9 Release. It's slow in CompfyUI and Automatic1111. And it seems the open-source release will be very soon, in just a few days. I'm wondering if someone will train a model based on SDXL and anime, like NovelAI on SD 1. Can generate large images with SDXL. 9 has a lot going for it, but this is a research pre-release and 1. It can't make a single image without a blurry background. This is factually incorrect. download the model through web UI interface -do not use . In contrast, the SDXL results seem to have no relation to the prompt at all apart from the word "goth", the fact that the faces are (a bit) more coherent is completely worthless because these images are simply not reflective of the prompt . SDXL 1. Stable Diffusion XL（通称SDXL）の導入方法と使い方. 9 has the following characteristics: leverages a three times larger UNet backbone (more attention blocks) has a second text encoder and tokenizer; trained on multiple aspect ratiosStable Diffusion XL (SDXL), is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. 98 M Images Generated. Cheaper image generation services. ago. I've got a ~21yo guy who looks 45+ after going through the refiner. The application isn’t limited to just creating a mask within the application, but extends to generating an image using a text prompt and even storing the history of your previous inpainting work. Compared to previous versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone: The increase of model parameters is mainly due to more attention blocks and a larger cross-attention context as SDXL uses a second text encoder. SDXL is the next base model iteration for SD. sdxl is a 2 step model. But SDXL has finally caught up if not exceeded MJ now (at least sometimes 😁) All these images are generated using bot#1 on SAI's discord running the SDXL 1. When all you need to use this is the files full of encoded text, it's easy to leak. 5B parameter base text-to-image model and a 6. they will also be more stable with changes deployed less often. 9, the full version of SDXL has been improved to be the world's best open image generation model. 0 will have a lot more to offer, and will be coming very soon! Use this as a time to get your workflows in place, but training it now will mean you will be re-doing that all effort as the 1. I’m trying to move over to SDXL but I can seem to get the image to image working. But that's why they cautioned anyone against downloading a ckpt (which can execute malicious code) and then broadcast a warning here instead of just letting people get duped by bad actors trying to pose as the leaked file sharers. 5 especially if you are new and just pulled a bunch of trained/mixed checkpoints from civitai. 5 for inpainting details. SDXL - The Best Open Source Image Model. 0 Model. 5 billion. That's what OP said. 9: The weights of SDXL-0. 0 image!This approach crafts the face at the full 512 x 512 resolution and subsequently scales it down to fit within the masked area. THE SCIENTIST - 4096x2160. It's official, SDXL sucks now. Step 2: Install or update ControlNet. 5 the same prompt with a "forest" always generates a really interesting, unique woods, composition of trees, it's always a different picture, different idea. Description: SDXL is a latent diffusion model for text-to-image synthesis. Running on cpu. It's whether or not 1. But in terms of composition and prompt following, SDXL is the clear winner. SDXL 0. So, in 1/12th the time, SDXL managed to garner 1/3rd the number of models. rather than just pooping out 10 million vague fuzzy tags, just write an english sentence describing the thing you want to see. . I have tried putting the base safetensors file in the regular models/Stable-diffusion folder. . Easiest is to give it a description and name. SDXL-0. He published on HF: SD XL 1. A new version of Stability AI’s AI image generator, Stable Diffusion XL (SDXL), has been released. Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. Agreed. Sdxl is good at different styles of anime (some of which aren’t necessarily well represented in the 1. 6版本整合包（整合了最难配置的众多插件），【AI绘画·11月最新】Stable Diffusion整合包v4. 0 base model in the Stable Diffusion Checkpoint dropdown menu; Enter a prompt and, optionally, a negative prompt. 0-mid; controlnet-depth-sdxl-1. for me SDXL sucks because it's been a pain in the ass to get it to work in the first place, and once I got it working I only get outo of memory errors as well as I cannot use pre-trained Lora models, honestly, it's been such a waste of time and energy so far UPDATE: I had a VAE enabled. 0 is the evolution of Stable Diffusion and the next frontier for generative AI for images. wdxl-aesthetic-0. SDXL 1. in the lack of hardcoded knowledge of human anatomy as well as rotation, poses and camera angles of complex 3D objects like hands. 0 composed of a 3. 5 = Skyrim SE, the version the vast majority of modders make mods for and PC players play on. 6B parameter image-to-image refiner model. Spaces. ago. The training is based on image-caption pairs datasets using SDXL 1. 3 ) or After Detailer. It's slow in CompfyUI and Automatic1111. Stable Diffusion Xl. 9 by Stability AI heralds a new era in AI-generated imagery. This is an order of magnitude faster, and not having to wait for results is a game-changer. 9 Research License. 11 on for some reason when i uninstalled everything and reinstalled python 3. Depthmap created in Auto1111 too. He published on HF: SD XL 1. But that's why they cautioned anyone against downloading a ckpt (which can execute malicious code) and then broadcast a warning here instead of just letting people get duped by bad actors trying to pose as the leaked file sharers. I did add --no-half-vae to my startup opts. That's quite subjective, and there are too many variables that affect the output, such as the random seed, the sampler, the step count, the resolution, etc. I'll have to start testing again. Installing ControlNet. We already have a big minimum limit SDXL, so training a checkpoint will probably require high end GPUs. I don't care so much about that but hopefully it me. Oh man that's beautiful. 5 and the enthusiasm from all of us come from all the work of the community invested in it, I think about of the wonderful ecosystem created around it, all the refined/specialized checkpoints, the tremendous amount of available. 5 and 2. Specs n numbers: Nvidia RTX 2070 (8GiB VRAM). Done with ComfyUI and the provided node graph here. 5D Clown, 12400 x 12400 pixels, created within Automatic1111. 5. For anything other than photorealism, the results seem remarkably similar to previous SD versions. 9 out of the box, tutorial videos already available, etc. 6:46 How to update existing Automatic1111 Web UI installation to support SDXL. This model can generate high-quality images that are more photorealistic and convincing across a. . Step 1 - Text to image: Prompt varies a bit from picture to picture, but here is the first one: high resolution photo of a transparent porcelain android man with glowing backlit panels, closeup on face, anatomical plants, dark swedish forest, night, darkness, grainy, shiny, fashion, intricate plant details, detailed, (composition:1. If you've added or made changes to the sdxl_styles. 5 billion parameter base model and a 6. You can refer to some of the indicators below to achieve the best image quality : Steps : > 50. It has bad anatomy, where the faces are too square.