Runpod sdxl. This is for selecting the base model. Runpod sdxl

 
  This is for selecting the base modelRunpod sdxl  Runpod & Paperspace & Colab pro adaptations AUTOMATIC1111 Webui and Dreambooth

0:00 / 16:17. If desired, you can change the container and volume disk sizes with the text boxes to the left, but the defaults should be sufficient for most purposes. Videos. ) Local - PC - Free - RunPod - CloudSDXLがサポートされました。sdxlブランチはmainブランチにマージされました。リポジトリを更新したときにはUpgradeの手順を実行してください。また accelerate のバージョンが上がっていますので、accelerate config を再度実行してください。 Originally shared on GitHub by guoyww Learn about how to run this model to create animated images on GitHub. . /setup-runpod. 14:35 How to start Kohya GUI after installation. Each version is a different LoRA, there are no Trigger words as this is not using Dreambooth. does anyone know about other ways to train lora model or how to fix a1111 DB plugin on colab. 4:22 Important things about using SDXL on RunPod. SDXL 1. But the results are just infinitely better and more accurate than anything I ever got on 1. . Thanks, but I want to know why switching models from SDXL Base to SDXL Refiner crashes A1111. 3: I've tried a couple of methods when it comes to data for SDXL:SDXL training. sh. ) Cloud - RunPod - Paid. Show more activity. 36:18 How to install and use ComfyUI (latest version) on RunPod including SDXL. Notes . The beta version of Stability AI’s latest model, SDXL, is now available for preview (Stable Diffusion XL Beta). Then modify your file names in the given below command and hit enter on the opened cmd windowTraining on top of many different stable diffusion base models: v1. com. b2 authorize-account the two keys. I ha. 5: Speed Optimization for SDXL, Dynamic CUDA Graphworst quality, low quality, bad quality, lowres, blurry, out of focus, deformed, ugly, fat, obese, poorly drawn face, poorly drawn eyes, poorly drawn eyelashes, bad. SD 1. Before you get started you'll need:. com right click on the download latest button to get the url pip3 install --upgrade b2 get a key from B2 b2 authorize-account the two keys cd . Reply replyRealism from HaDeS SDXL v1. How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI. ; Use --cache_text_encoder_outputs option and caching latents. If you don't have enough VRAM try the Google Colab. The feature of SDXL training is now available in sdxl branch as an experimental feature. SDXL Model checkbox: Check the SDXL Model checkbox if you're using SDXL v1. Find your server address. 🚀LCM update brings SDXL and SSD-1B to the game 🎮Currently training SDXL using kohya on runpod. First edit app2. Problem with upscaling. 🚀Announcing stable-fast v0. I’ve been loving SDXL 0. Click on customize. yaml","path":"config_files/accelerate/default_config. Then running. i used runpod solely for training and dreamboothing, can get 48GB VRAM if you wish. pull down the repo. Based on resource engagement, specifically, collection adds and images uploaded, these resources will be entered into a pool to be further judged by our team to decide the final winners. . 📷 46. If the custom model is private or requires a token, create token. October 24 - 2023 . sudo apt-get install -y libx11-6 libgl1 libc6. -t repo/name:tag. Become A Master Of SDXL Training With Kohya SS LoRAs - Combine Power Of Automatic1111 & SDXL LoRAs ; SDXL training on a RunPod which is another. 9 can be run. For example, it’s much easier to see a loss graph, learning rate curve, sample outputs, and pause training. . 0. 📷 45. Conclusion This script is a comprehensive example of. . Sep 3, 2023: The feature will be merged into the main branch soon. A runpod with the proper version of aclysia/sd-comfyui-krita 1. I have the similar setup with 32gb system with 12gb 3080ti that was taking 24+ hours for around 3000 steps. According to human evaluators, the model performs comparably to ChatGPT and you can run it right in your own RunPod pod. But as I understand it, the CLIP (s) of SDXL are also censored. g. 0 training, D-Adaptation, and Prodigy with kasukanra in under an hour. a. 44. might be high ram needed then?. New comments cannot be posted. Retrieve Results & Status Tutorial For How To Install and Use SDXL On RunPod With A Decent Gradio Interface ; 2 September 2023 Files Updated For SDXL 1. c. type chmod +x install. SDXL > Become A Master Of SDXL Training With Kohya SS LoRAs - Combine Power Of Automatic1111 & SDXL LoRAs SD 1. Link. docker login --username=yourhubusername --email=youremail@company. 2. 15:18 What are Stable Diffusion LoRA and DreamBooth (rare token, class token, and more) training. 5 Models > Generate Studio Quality Realistic Photos By Kohya LoRA Stable Diffusion Training - Full Tutorial Make a bucket. To start A1111 UI open. 📷 44. Getting up and running is just Photo by Antoine Beauvillain / Unsplash. For activating venv open a new cmd window in cloned repo, execute below command and it will workReadme files of the all tutorials are updated for SDXL 1. I was looking at that figuring out all the argparse commands. 5:51 How to download SDXL model to use as a base training model. 11. . This is a place for Steam Deck owners to chat about using Windows on Deck. This UI will let you design and execute advanced Stable Diffusion pipelines using a graph/nodes/flowchart based interface. ; As you are seeing above, if you want to use your own custom LoRA remove dash (#) in fron of your own LoRA dataset path - change it with your path/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. Next, Cagliostro) - GitHub - Gourieff/sd-webui-reactor: Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111, SD. Trying it locally, using `--direct-ml` failed on my first install with `ModuleNotFoundError: No module named 'torch_directml'`. Choose which version to finetune. BeijingUncle • 3 mo. This API is faster and creates images in seconds. 9C. " GitHub is where people build software. It’s very alpha, and it has many problems, like difficult prompting and a heavy bias towards particular faces and some almost readable watermarks. py and add your access_token. 49. If in_json is omitted, if there is a write destination metadata file, it will be read from there and overwritten there. . 0 Depth Vidit, Depth Faid Vidit, Depth, Zeed, Seg, Segmentation, Scribble. x and SDXL LoRAs. SDXL's VAE is known to suffer from numerical instability issues. Someone correct me if I’m wrong, but CLIP encodes the prompt into something that the UNet can understand? So you would probably also need to do something about that. 9 repository, this is an official method, no funny business ;) its easy to get one though, in your account settings, copy your read key from there. However this demo is lacking so many features and I coded All of them. The Fast Stable Diffusion Template in RunPod has already been updated to take advantage of SDXL. 5. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. ; The fine-tuning can be done with 24GB GPU memory with the batch size of 1. It will bring you to an interface where you can choose the GPU and parameters you would like your pod to be provisioned with. x and SDXL LoRAs. In this case my repo is runpod, my name is tensorflow, and my tag is latest. md. Choose RNPD-A1111 if you just want to run the A1111 UI. SargeZT has published the first batch of Controlnet and T2i for XL. . v3. To associate your repository with the sdxl topic, visit your repo's landing page and select "manage topics. When you first make a pod and Connect, there's a window "Connect via HTTP" and "Connect. A very similar process can be applied to Google Colab (you must manually upload the SDXL model to Google Drive). However I have since greatly improved my training configuration and setup and have created a much better and near perfect Ghibli style model now, as well as Nausicaä, San, and Kiki character models!Here I compared RTX 3090 vs RTX 4090 SDXL DreamBooth training speed for you. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. In this video, I'll show you how to train LORA SDXL 1. 0. CeFurkan • 3 mo. On runpod I was playing with 4090 (albeit not with SDXL, that one I tried on google colab), may need to check how SDXL looks like there. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod, SDXL LoRA, SDXL InPainting. Will try to post tonight)Took about 5. Add a Comment. source . runpod. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPodI used SDXL for the first time and generated those surrealist images I posted yesterday. . x models will only be usable with models trained from Stable Diffusion 1. By watching. I usually watch some tutorials rather than read articles but both versions are fine. Welcome to v2. It’s in the diffusers repo under examples/dreambooth. Welcome to the Runpod Roundup for the week ending July 29, 2023. 9 Test Lora Collection. Introduction. To build your container, go to the folder you have your Dockerfile in, and run. It took ~45 min and a bit more than 16GB vram on a 3090 (less vram might be possible with a batch size of 1 and gradient_accumulation_step=2)How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI. Auto Installer & Refiner & Amazing Native Diffusers Based Gradio. This is all for the Kohya_ss GUI. Moreover, I will… [Tutorial] How To Use Automatic1111 SD Web UI With SDXL On RunPod Full Tutorial / Guide Tutorial Video link > How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial The batch size image generation speed shown in the video is incorrect. zip file containing a folder of images of a concept to fine-tune the model. Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI . Though my team has worked very hard to make sure SDXL trains new concepts into it easily, so you still got great results with the nonsensical token!. For SDXL a 128 or 256 LoRa could be enough. ) Cloud - RunPod How To Use SDXL On RunPod Tutorial. The Ultimate SD upscale is one of the nicest things in Auto11, it first upscales your image using GAN or any other old school upscaler, then cuts it into tiles small enough to be digestable by SD, typically 512x512, the pieces are overlapping each other. Open JupyterLab and upload the install. r/StableDiffusion. May need to test if including it improves finer details. 0 of EveryDream trainer! Now with more Diffusers, faster, and even more features! For the most up to date news and community discussions, please join us on Discord! If you find this tool useful, please consider subscribing to the project on Patreon or a one-time donation on Ko-fi. pth (for SDXL) models and place them in the models/vae_approx folder. skin blemish. You want to use Stable Diffusion, use image generative AI models for free, but you can't pay online services or you don't have a strong computer. How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI . Overall runpod is awesome and the prices are great. Both of those can be trained on a 4090 so I would get started with it. sdxl_train. This is crucial for ensuring seamless communication to the desktop environment. Auto Installer & Refiner & Amazing Native Diffusers Based Gradio. 0 | all workflows use base + refiner. py, but it also supports DreamBooth dataset. How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial - YouTube. Sep 3, 2023: The feature will be merged into the main branch soon. I mistakenly chosen Batch count instead of Batch size. md","path":"Tutorials/1-Click-DeepFake-Tutorial. 1 Click Auto Installer Script For ComfyUI (latest) & Manager On RunPod. /venv/bin/activate. Used the settings in this post and got it down to around 40 minutes, plus turned on all the new XL options (cache text encoders, no half VAE & full bf16 training) which helped with memory. Shoes of the Week. 1 Click Auto Installer Script For ComfyUI (latest) & Manager On RunPod. ) Local - PC - Free - RunPod - CloudTo associate your repository with the dreambooth topic, visit your repo's landing page and select "manage topics. Environment Variables Environment variables are accessible within your pod; define a variable by setting a name with the key and the. ) RunPod - Automatic1111 Web UI - Cloud - Paid - No PC Is Required . In this video I will teach you how to install. . Runpod & Paperspace & Colab pro adaptations AUTOMATIC1111 Webui and Dreambooth. comments sorted by Best Top New Controversial Q&A Add a Comment. x) and taesdxl_decoder. 0. Just to show a small sample on how powerful this is. How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI. How to install runpodctl latest version to transfer files between Pods and PC. 0 as a base, or a model finetuned from SDXL. How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod. A few questions about sdxl lora training in runpod: For image size can I use different sized images and set crop to false? (Above 1024x1024 but all different sizes and ratios) Does image count matter? (Or is it the same 10 you always recommended for. ai or runpod. 9. この時点では完全に終了していないので注意。. In this issue, we'll be looking at the new SDXL release as well as new LLM model advancements. 400. ". How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI Aug 13, 2023 48 Expert-Level Tutorials on Stable Diffusion & SDXL: Master Advanced Techniques and. I kept getting the message of "Nothing here. 03:09:46-198112 INFO Headless mode, skipping verification if model already exist. Workflows included. Hey guys i'm using runpod dreambooth_api but the results are so bad I tried to build my own and the same thing same results I think there's a problem with environments maybe. Supporting SDXL Training. How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial . 3$ per hour. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod, SDXL LoRA, SDXL InPainting. I rent a system with an A6000 for $0. /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. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod #912 FurkanGozukara started this conversation in Show and tell ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod #912The SDXL base checkpoint can be used like any regular checkpoint in ComfyUI. I can fire up a Runpod with any template, even install A1111 from scratch on a generic Linux template, and within 1 or 2 model. NOTE: You need your Huggingface Read Key to access the SDXL 0. sdxl_train. ) Local - PC - Free - Google Colab - RunPod - Cloud - Custom Web UI. 9. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"bitsandbytes_windows","path":"bitsandbytes_windows","contentType":"directory"},{"name. The SDXL version of Realism from HaDeS it's almost ready. 0. github","path":". Master image generation and improve face quality in under an hour. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". You want to learn how to set up Stable Diffusion on RunPod. 0. txt caption files. source . . SDXL most definitely doesn't work with the old control net. In this case my repo is runpod, my name is tensorflow, and my tag is latest. txt caption files. All prompts share the same seed. According to human evaluators, the model performs comparably to ChatGPT and you can run it right in your own RunPod pod. Choose a name (e. Runpod io vs Run Diffusion Discussion With Google colab stopping use of stable diffusion I’m looking for a new way to run it. The below setup took me approximately 40 minutes to train a person on a 4080. Way cheaper than buying a gpu. Thank you so much Stability AI. The feature of SDXL training is now available in sdxl branch as an experimental feature. Feel free to share gaming benchmarks. /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. So you can't change model on this endpoint. ago. Our beloved #Automatic1111 Web UI is now supporting Stable Diffusion X-Large (#SDXL). Public IP. You switched accounts on another tab or window. sh into /workspace. 1 but with the above points it balances out as we don't need to spend as much time training it. EveryDream Trainer 2. Our beloved #Automatic1111. 15:45 How to select SDXL model for LoRA training in Kohya GUI. Don't forget your FULL MODELS on SDXL are 6. . First edit app2. 1. E. Prompt is now minimalistic (both positive and negative), because art style and other enhancement is selected via SDXL Prompt Styler dropdown menu. like below . fast-stable-diffusion Notebooks, A1111 + ComfyUI + DreamBooth. sh. How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial. And uploading all models/extensions/data is a hasle. I can get most whatever I want done in a matter of 1. AUTOMATIC1111's Stable Diffusion WebUI will open in a new tab, and you can now use it to run Stable Diffusion. 5 in ~30 seconds per image compared to 4 full SDXL images in under 10 seconds is just HUGE!I tried Runpod which work great but you need to resetup your pod nearly each time because pod goes unavailable often. 2: The resources needed to train SDXL are higher than SD2. 1 but with the above points it balances out as we don't need to spend as much time training it. Sped up SDXL generation from 4 mins to 25 seconds!PhD Computer Engineer Furkan Gözükara | Working at the Toros University, Department of Computer and Software Engineering | Mersin / Turkey - FurkanGozukaraSDXL is very surprising but yes i was trying different stuff with the same prompt so just mix up subjects and whatever and should get about the same output I don't do any post processing these are raw Ai renders. 18. A RunPod template is just a Docker container image paired with a configuration. 0. I get more well-mutated hands (less artifacts) often with proportionally abnormally large palms and/or finger sausage sections ;) Hand proportions are often. 2 comments. Train a style Lora for SDXL with Kohya ss on Runpod. 7FEC17C561. Also it is using full 24gb of ram, but it is so slow that even gpu fans are not spinning. We do not keep your inputs or outputs longer than that to protect your privacy! Overview. SetupThere's r/piratediffusion over Telegram, connected to a free Cloud Service provided by us. ) Cloud - RunPod How To Use SDXL On RunPod Tutorial. Log into the Docker Hub from the command line. Used runpod, vast. Workflows included. We’ve got all of these covered for SDXL 1. . It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Deploy a Stable Diffusion pod. 0 for ComfyUI | finally ready and released | custom node extension and workflows for txt2img, img2img, and inpainting with SDXL 1. In order to get started with it, you must connect to Jupyter Lab and then choose the corresponding notebook for what you want to do. Dataset: 300 quality portraits of men, women and children. This endpoint requires the URL to a publicly accessible . 2/hour. *","identUtf16":{"start":{"lineNumber":9,"utf16Col":3},"end":{"lineNumber":9,"utf16Col":130}},"extentUtf16":{"start":{"lineNumber":9,"utf16Col":0},"end":{"lineNumber":11,"utf16Col":0}}},{"name":"Register. $5 per month. i dont know whether i am doing something wrong, but here are screenshot of my settings. To associate your repository with the sdxl topic, visit your repo's landing page and select "manage topics. To associate your repository with the runpod topic, visit your repo's landing page and select "manage topics. 0 and Refiner 1. The Stable Diffusion API is using SDXL as single model API. You can find it in the. He continues to train others will be launched soon!This lora is testing the ability to improve the faces of SDXL without significant financial investment. Writings. This guide uses Runpod. SDXL 1. 0 with new workflows and download links. 33. r/StableDiffusion • MASSIVE SDXL ARTIST COMPARISON: I tried out 208 different artist names with the same subject prompt for SDXL. I always use 3 as it looks more realistic in every model the only problem is that to make proper letters with SDXL you need higher CFG. org. like below . ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. From there, you can run the automatic1111 notebook, which will launch the UI for automatic, or you can directly train dreambooth using one of the dreambooth notebooks. How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI. Explore SDXL 1. . Most of the process in this guide will apply to local training as well (make sure you have Kohya SS and AUTOMATIC1111. ; Use Adafactor. 43:19 How to very fast download generated images on a RunPod with runpodctl. Following are the changes from the previous version. 38:40 Instructions to the manual installation of ComfyUI on a RunPod. I was having some troubles running this on RunPod. This is a serverless application that uses AnimateDiff to run a Text-to-Video task on RunPod. 49. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"README. A very similar process can be applied to Google Colab (you must manually upload the SDXL model to Google Drive). 48:30 How to download all decided best checkpoints via runpodctl. 5 is better at everything that requires time to build upon as it has more time and more user based. I have coded automatic installers for both Windows and RunPod for. And the Gradio interface seems to go unresponsive randomly, requiring me to reload and re-input all my prompt settings. Which way is the best and most cost effective? Up for all answers including ones not mentioned above. 3: I've tried a couple of methods when it comes to data for SDXL: SDXL training. Takes you through installing Kohya and setting everything up. Currently hosted on Hugging Face spaces as demo. Use Stable Diffusion XL in the cloud on RunDiffusion. ゴミ箱マークをクリック。. 5. {"payload":{"allShortcutsEnabled":false,"fileTree":{"config_files/accelerate":{"items":[{"name":"default_config. 1 template. Log into the Docker Hub from the command line. Make sure to keep “Start Jupyter Notebook” checked. Leveraging our cutting-edge cloud services, RunPod empowers DSD's boot camp participants with a high-performance computing environment, enhancing the efficacy and competitiveness of their learning experience. ai and runpod are similar, runpod usually costs a bit more. go to the stable-diffusion folder INSIDE models. Add port 8188. It was updated to use the sdxl 1. As discussed in the RunPod Roundup, Stable Diffusion XL is now available for the public and we've got you covered if you'd like to give it a shot. ComfyUI Manager. Lecture 18: How Use Stable Diffusion, SDXL, ControlNet, LoRAs For FREE Without A GPU On Kaggle Like Google Colab. pip3 install --upgrade b2. Google colab works on free colab and auto downloads SDXL 1. Use_Temp_Storage : If not, make sure you have enough space on your gdrive. As I have a mac and things are really slow on that. By becoming a member, you'll instantly unlock access to 67. Relatively cheap, generate as much as you want for the time you rent it out for, afaik it's 0. Join to Unlock. ) Local - PC - Free - Google Colab - RunPod - Cloud - Custom Web UI ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod. py. First a lot of training on a lot of NSFW data would need to be done. Your LoRA will be heavily influenced by the base model, so you should use one that produces the style of images that you would like to create. Auto Installer For RunPod - Updated 11 August 2023 ; Scripts : ; Upload downloadSDXL. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". Once they're installed, restart ComfyUI to enable high-quality previews. I'm having a problem, where the Colab with LoRAs give always errors like this, regardless of the rank: ERROR diffusion_model. • 2 days ago. to answer your question, yes. Auto Installer & Refiner & Amazing Native Diffusers Based Gradio. ; Use --cache_text_encoder_outputs option and caching latents. About SDXL training. Hugging Face. The HF site advises that you may need an A100 just for the 13B model, so be aware. Open the Console. There’s also an install models button. ago. I can train full models in runpod using dreambooth, but tried all day today running textual inversion training but still no success. How to use runpodctl tutorial Become A Master Of SDXL Training With Kohya SS LoRAs - Combine Power Of Automatic1111 & SDXL LoRAs ; SDXL training on a RunPod which is another cloud service similar to Kaggle but this one don't provide free GPU ; How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI Here how to install and use Stable Diffusion XL (SDXL) on RunPod. I used one of runpod's 3080 3090 it takes 15 min averaging 1 it/sec and around 17 GB gpu memory (I was able to run inferences on comfy while training). just upload ur cpkt files to models/stable-diffusion folder, no need to edit anything, then restart the server/pod. pth (for SD1. SDXL Support for Inpainting and Outpainting on the Unified Canvas. A RunPod template is just a Docker container image paired with a configuration. yaml file to rename the env name if you have other local SD installs already using the 'ldm' env name. You will need a RunPod API key which can be generated under your user settings. . I've had the training working before, but most of the information I can get on this is for Lora and not finetuning. . on Runpod it was 20c per hour that 8gb one. 9 through Python 3. Fast Stable Diffusion got updated and can run SDXL now but as a Google colab user im pretty disappointed: the compute units per hour went up from <2 to 5. Well I personally applied to get official weights but they didn't approve me :/. You'll see “RunPod Fast Stable Diffusion” is the pre-selected template in the upper right. Reply reply.