stable-diffusion-xl-refiner-1. Increasing the sampling steps might increase the output quality; however. 0 / sd_xl_refiner_1. 详解SDXL ComfyUI稳定工作流程：我在Stability使用的AI艺术内部工具接下来，我们需要加载我们的SDXL基础模型（改个颜色）。一旦我们的基础模型加载完毕，我们还需要加载一个refiner，但是我们会稍后处理这个问题，不用着急。此外，我们还需要对从SDXL输出的clip进行一些处理。This notebook is open with private outputs. 0 model and its Refiner model are not just any ordinary tech models. with sdxl . The refiner is entirely optional and could be used equally well to refine images from sources other than the SDXL base model. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. To begin, you need to build the engine for the base model. Although the base SDXL model is capable of generating stunning images with high fidelity, using the refiner model useful in many cases, especially to refine samples of low local quality such as deformed faces, eyes, lips, etc. While 7 minutes is long it's not unusable. 9 Tutorial VS Midjourney AI How to install Stable Diffusion XL 0. This is just a simple comparison of SDXL1. But on 3 occasions over par 4-6 weeks I have had this same bug, I've tried all suggestions and A1111 troubleshoot page with no success. Scheduler of the refiner has a big impact on the final result. SDXL では2段階で画像を生成します。 1段階目にBaseモデルで土台を作って、2段階目にRefinerモデルで仕上げを行います。 感覚としては、txt2img に Hires. 9 working right now (experimental) Currently, it is WORKING in SD. The SDXL model is more sensitive to keyword weights (E. Part 3 ( link ) - we added the refiner for the full SDXL process. Sign up Product Actions. The ensemble of expert denoisers approach. 0. Originally Posted to Hugging Face and shared here with permission from Stability AI. 85, although producing some weird paws on some of the steps. safetensors. 0 が正式リリースされました この記事では、SDXL とは何か、何ができるのか、使ったほうがいいのか、そもそも使えるのかとかそういうアレを説明したりしなかったりします 正式リリース前の SDXL 0. 1. 0. You can see the exact settings we sent to the SDNext API. Select the SDXL base model in the Stable Diffusion checkpoint dropdown menu. 5 of my wifes face works much better than the ones Ive made with sdxl so I enabled independent prompting(for highresfix and refiner) and use the 1. 0 Base+Refiner比较好的有26. 9 comfyui (i would prefere to use a1111) i'm running a rtx 2060 6gb vram laptop and it takes about 6-8m for a 1080x1080 image with 20 base steps & 15 refiner steps edit: im using Olivio's first set up(no upscaler) edit: after the first run i get a 1080x1080 image (including the refining) in Prompt executed in 240. Note: to control the strength of the refiner, control the "Denoise Start" satisfactory results were between 0. If you are using Automatic 1111, note that and remember that. 3. The chart above evaluates user preference for SDXL (with and without refinement) over Stable Diffusion 1. For those purposes, you. The refiner model works, as the name suggests, a method of refining your images for better quality. Right now I'm sending base SDXL images to img2img, then switching to the SDXL Refiner model, and. Follow me here by clicking the heart ️ and liking the model 👍, and you will be notified of any future versions I release. added 1. co Use in Diffusers. Fixed FP16 VAE. SDXL 1. Euler a sampler, 20 steps for the base model and 5 for the refiner. Which, iirc, we were informed was. The default of 7. 0 and Stable-Diffusion-XL-Refiner-1. Notebook instance type: ml. Add this topic to your repo. Subscribe. 1: The standard workflows that have been shared for SDXL are not really great when it comes to NSFW Lora's. 9 Refiner pass for only a couple of steps to "refine / finalize" details of the base image. scheduler License, tags and diffusers updates (#1) 3 months ago. 0 Refiner Model; Samplers. Download both the Stable-Diffusion-XL-Base-1. sd_xl_refiner_0. It means max. Much like a writer staring at a blank page or a sculptor facing a block of marble, the initial step can often be the most daunting. I trained a LoRA model of myself using the SDXL 1. sd_xl_refiner_1. SD1. It is a MAJOR step up from the standard SDXL 1. 0 release of SDXL comes new learning for our tried-and-true workflow. If this is true, why is the ascore only present on the Refiner CLIPS of SDXL and there too, changing the values barely makes a difference to the gen ?. Searge-SDXL: EVOLVED v4. The SDXL refiner is incompatible and you will have reduced quality output if you try to use the base model refiner with DynaVision XL. Not OP, but you can train LoRAs with kohya scripts (sdxl branch). safetensors. safetensors files. 0 Refiner model. Stability is proud to announce the release of SDXL 1. The total number of parameters of the SDXL model is 6. 5 model. I barely got it working in ComfyUI, but my images have heavy saturation and coloring, I don't think I set up my nodes for refiner and other things right since I'm used to Vlad. 0 outshines its predecessors and is a frontrunner among the current state-of-the-art image generators. 9 with updated checkpoints, nothing fancy, no upscales, just straight refining from latent. 640 - single image 25 base steps, no refiner 640 - single image 20 base steps + 5 refiner steps 1024 - single image 25 base steps, no refiner 1024 - single image 20 base steps + 5 refiner steps - everything is better except the lapels Image metadata is saved, but I'm running Vlad's SDNext. Basically the base model produces the raw image and the refiner (which is an optional pass) adds finer details. Furthermore, Segmind seamlessly integrated the SDXL refiner, recommending specific settings for optimal outcomes, like a prompt strength between 0. Having it enabled the model never loaded, or rather took what feels even longer than with it disabled, disabling it made the model load but still took ages. patrickvonplaten HF staff. true. 左上にモデルを選択するプルダウンメニューがあります。. Conclusion This script is a comprehensive example of. This checkpoint recommends a VAE, download and place it in the VAE folder. I am not sure if it is using refiner model. Your image will open in the img2img tab, which you will automatically navigate to. 3. 5, it will actually set steps to 20, but tell model to only run 0. Now that you have been lured into the trap by the synthography on the cover, welcome to my alchemy workshop! 现在，你已经被封面上的合成图所吸引. The Refiner thingy sometimes works well, and sometimes not so well. Downloading SDXL. control net and most other extensions do not work. 9 Tutorial (better than Midjourney AI)Stability AI recently released SDXL 0. Install sd-webui-cloud-inference. photo of a male warrior, modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, medieval armor, professional majestic oil painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High. 0-refiner Model Card Model SDXL consists of an ensemble of experts pipeline for latent diffusion: In a first step, the base model (available here: is used to generate (noisy) latents, which are then further processed with a refinement model specialized for the final. 0 Base and Refiner models An automatic calculation of the steps required for both the Base and the Refiner models A quick selector for the right image width/height combinations based on the SDXL training set An XY Plot function ControlNet pre-processors, including the new XL OpenPose (released by Thibaud Zamora)SDXL on Vlad Diffusion. 9_comfyui_colab (1024x1024 model) please use with: refiner_v0. SDXL training currently is just very slow and resource intensive. 9 will be provided for research purposes only during a limited period to collect feedback and fully refine the model before its general open release. Refiner CFG. catid commented Aug 6, 2023. 0は正式版です。Baseモデルと、後段で使用するオプションのRefinerモデルがあります。下記の画像はRefiner、Upscaler、ControlNet、ADetailer等の修正技術や、TI embeddings、LoRA等の追加データを使用していません。Select the SDXL 1. 5. How To Use Stable Diffusion XL 1. Then this is the tutorial you were looking for. Just training the base model isn't feasible for accurately generating images of subjects such as people, animals, etc. 5 model. 2 comments. 0. Part 2 - We added SDXL-specific conditioning implementation + tested the impact of conditioning parameters on the generated images. 35%~ noise left of the image generation. Downloads. SDXL 1. 5d4cfe8 about 1 month. safetensors refiner will not work in Automatic1111. os, gpu, backend (you can see all. 6 billion, compared with 0. 0! UsageA little about my step math: Total steps need to be divisible by 5. 0とRefiner StableDiffusionのWebUIが1. SDXLの導入〜Refiner拡張導入のやり方をシェアします。 ①SDフォルダを丸ごとコピーし、コピー先を「SDXL」などに変更 今回の解説はすでにローカルでStable Diffusionを起動したことがある人向けです。 ローカルにStable Diffusionをインストールしたことが無い方は以下のURLが環境構築の参考になります. . Setup a quick workflow to do the first part of the denoising process on the base model but instead of finishing it stop early and pass the noisy result on to the refiner to finish the process. SDXLのRefinerモデルに対応し、その他UIや新しいサンプラーなど以前のバージョンと大きく変化しています。 この記事では、ver1. 16:30 Where you can find shorts of ComfyUI. Let's dive into the details! Major Highlights: One of the standout additions in this update is the experimental support for Diffusers. Now you can run 1. Txt2Img or Img2Img. 23:48 How to learn more about how to use ComfyUI. 0. The issue with the refiner is simply stabilities openclip model. The SDXL 1. Refiner. The code. 0モデル SDv2の次に公開されたモデル形式で、1. Also for those wondering, the refiner can make a decent improvement in quality with third party models (including juggXL), esp. SDXLは基本の画像サイズが1024x1024なので、デフォルトの512x512から変更してください。. ago. change rez to 1024 h & w. makes them available for SDXL always show extra networks tabs in the UI use less RAM when creating models (#11958, #12599) textual inversion inference support for SDXL extra networks. 0 refiner. Download both from CivitAI and move them to your ComfyUI/Models/Checkpoints folder. Step 2: Install or update ControlNet. But, as I ventured further and tried adding the SDXL refiner into the mix, things took a turn for the worse. Replace. 9vae. 1:06 How to install SDXL Automatic1111 Web UI with my automatic installer . Lecture 18: How Use Stable Diffusion, SDXL, ControlNet, LoRAs For FREE Without A GPU On Kaggle Like Google Colab. I will first try out the newest sd. To generate an image, use the base version in the 'Text to Image' tab and then refine it using the refiner version in the 'Image to Image' tab. plus, it's more efficient if you don't bother refining images that missed your prompt. Re-download the latest version of the VAE and put it in your models/vae folder. CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger. The prompt. sdxlが登場してから、約2ヶ月、やっと最近真面目に触り始めたので、使用のコツや仕様といったところを、まとめていけたらと思います。 （現在、とある会社にaiモデルを提供していますが、今後はsdxlを使って行こうかと考えているところです。） sd1. Study this workflow and notes to understand the basics of. 0 where hopefully it will be more optimized. 0 weights with 0. 0 mixture-of-experts pipeline includes both a base model and a refinement model. Testing the Refiner Extension. -Img2Img SDXL Mod - In this workflow SDXL refiner works as a standard img2img model. Stability. The number next to the refiner means at what step (between 0-1 or 0-100%) in the process you want to add the refiner. This is used for the refiner model only. It's trained on multiple famous artists from the anime sphere (so no stuff from Greg. The chart above evaluates user preference for SDXL (with and without refinement) over Stable Diffusion 1. SDXL 1. 65. SDXL-VAE-FP16-Fix was created by finetuning the SDXL-VAE to: 1. Noticed a new functionality, "refiner", next to the "highres fix". base and refiner models. 1:39 How to download SDXL model files (base and refiner) 2:25 What are the upcoming new features of Automatic1111 Web UI. A switch to choose between the SDXL Base+Refiner models and the ReVision model A switch to activate or bypass the Detailer, the Upscaler, or both A (simple) visual prompt builder To configure it, start from the orange section called Control Panel. What a move forward for the industry. To convert your database using RebaseData, run the following command: java -jar client-0. check your MD5 of SDXL VAE 1. In the second step, we use a specialized high-resolution model and apply a technique called SDEdit (also known as "img2img") to the latents genera…Use in Diffusers. 1. The SDXL 1. 9 comfyui (i would prefere to use a1111) i'm running a rtx 2060 6gb vram laptop and it takes about 6-8m for a 1080x1080 image with 20 base steps & 15 refiner steps edit: im using Olivio's first set up(no upscaler) edit: after the first run i get a 1080x1080 image (including the refining) in Prompt executed in 240. select sdxl from list. The VAE versions: In addition to the base and the refiner, there are also VAE versions of these models available. Note: I used a 4x upscaling model which produces a 2048x2048, using a 2x model should get better times, probably with the same effect. Klash_Brandy_Koot. The prompt and negative prompt for the new images. 6. Note that the VRAM consumption for SDXL 0. 1. If you have the SDXL 1. Utilizing a mask, creators can delineate the exact area they wish to work on, preserving the original attributes of the surrounding. These were all done using SDXL and SDXL Refiner and upscaled with Ultimate SD Upscale 4x_NMKD-Superscale. SDXLのRefinerモデルに対応し、その他UIや新しいサンプラーなど以前のバージョンと大きく変化しています。 この記事では、ver1. Reply reply litekite_SDXL Examples . Find out the differences. juggXL + refiner 2 steps: In this case, there is a base SDXL model and an optional "refiner" model that can run after the initial generation to make images look better. in human skin. Learn how to use the SDXL model, a large and improved AI image model that can generate realistic people, legible text, and diverse art styles. The refiner is trained specifically to do the last 20% of the timesteps so the idea was to not waste time by. There are slight discrepancies between the output of SDXL-VAE-FP16-Fix and SDXL-VAE, but the decoded images should be close. 0 Grid: CFG and Steps. For example: 896x1152 or 1536x640 are good resolutions. Navigate to the From Text tab. 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. 5から対応しており、v1. Let me know if this is at all interesting or useful! Final Version 3. . Overall, SDXL 1. I read that the workflow for new SDXL images in Automatic1111 should be to use the base model for the initial Text2Img image creation and then to send that image to Image2Image and use the vae to refine the image. 3ae1bc5 4 months ago. 1-0. Switch branches to sdxl branch. Because of various manipulations possible with SDXL, a lot of users started to use ComfyUI with its node workflows (and a lot of people did not, because of its node workflows). json: sdxl_v0. To experiment with it I re-created a workflow with it, similar to my SeargeSDXL workflow. 0 seed: 640271075062843 RTX 3060 12GB VRAM, and 32GB system RAM here. Download the first image then drag-and-drop it on your ConfyUI web interface. I have tried turning off all extensions and I still cannot load the base mode. 0. It functions alongside the base model, correcting discrepancies and enhancing your picture’s overall quality. 5x), but I can't get the refiner to work. 9-refiner model, available here. Study this workflow and notes to understand the basics of. Idk why a1111 si so slow and don't work, maybe something with "VAE", idk. 5 you switch halfway through generation, if you switch at 1. 5 you switch halfway through generation, if you switch at 1. They are actually implemented by adding. Below are the instructions for installation and use: Download Fixed FP16 VAE to your VAE folder. I did extensive testing and found that at 13/7, the base does the heavy lifting on the low-frequency information, and the refiner handles the high-frequency information, and neither of them interferes with the other's specialtyIve had some success using SDXL base as my initial image generator and then going entirely 1. 🌟 😎 None of these sample images are made using the SDXL refiner 😎. SD. sdxl is a 2 step model. 6B parameter refiner model, making it one of the largest open image generators today. main. 1. The chart above evaluates user preference for SDXL (with and without refinement) over Stable Diffusion 1. 6. Not a LORA, but you can download ComfyUI nodes for sharpness, blur, contrast, saturation, sharpness, etc. 9 の記事にも作例. With SDXL as the base model the sky’s the limit. Ensemble of. Reply reply Jellybit •. 0 mixture-of-experts pipeline includes both a base model and a refinement model. The first is the primary model. But these improvements do come at a cost; SDXL 1. Guide 1. Next Vlad with SDXL 0. and have to close terminal and restart a1111 again to clear that OOM effect. Results – 60,600 Images for $79 Stable diffusion XL (SDXL) benchmark results on SaladCloudI haven't spent much time with it yet but using this base + refiner SDXL example workflow I've generated a few 1334 by 768 pictures in about 85 seconds per image. The workflows often run through a Base model, then Refiner and you load the LORA for both the base and refiner model. io in browser. 0 的 ComfyUI 基本設定. For good images, typically, around 30 sampling steps with SDXL Base will suffice. Part 3 (this post) - we will add an SDXL refiner for the full SDXL process. For good images, typically, around 30 sampling steps with SDXL Base will suffice. 0 is configured to generated images with the SDXL 1. venvlibsite-packagesstarlette routing. With SDXL I often have most accurate results with ancestral samplers. But these improvements do come at a cost; SDXL 1. The SDXL 1. base and refiner models. What I have done is recreate the parts for one specific area. The SDXL base model performs. 9 + Refiner - How to use Stable Diffusion XL 0. Click Queue Prompt to start the workflow. Just wait til SDXL-retrained models start arriving. 0 checkpoint trying to make a version that don't need refiner. Installing ControlNet. First image is with base model and second is after img2img with refiner model. I did and it's not even close. 1. just using SDXL base to run a 10 step dimm ksampler then converting to image and running it on 1. Enlarge / Stable Diffusion XL includes two text. 0 seed: 640271075062843RTX 3060 12GB VRAM, and 32GB system RAM here. One is the base version, and the other is the refiner. 次に2つ目のメリットは、SDXLのrefinerモデルを既に正式にサポートしている点です。 執筆時点ではStable Diffusion web UIのほうはrefinerモデルにまだ完全に対応していないのですが、ComfyUIは既にSDXLに対応済みで簡単にrefinerモデルを使うことができます。 Base SDXL model will stop at around 80% of completion (Use TOTAL STEPS and BASE STEPS to control how much noise will go to refiner), left some noise and send it to Refine SDXL Model for completion - this is the way of SDXL. Kohya SS will open. SDXL is just another model. I also need your help with feedback, please please please post your images and your. Last, I also performed the same test with a resize by scale of 2: SDXL vs SDXL Refiner - 2x Img2Img Denoising Plot. 1) increases the emphasis of the keyword by 10%). This tutorial covers vanilla text-to-image fine-tuning using LoRA. 9vae Cliquez sur l’élément Refiner à droite, sous le sélecteur de Sampling Method. 0 Base and Refiner models into Load Model Nodes of ComfyUI Step 7: Generate Images. Refiner 微調. 2), 8k uhd, dslr, film grain, fujifilm xt3, high trees, (small breasts:1. Familiarise yourself with the UI and the available settings. 0, with additional memory optimizations and built-in sequenced refiner inference added in version 1. You run the base model, followed by the refiner model. This file is stored with Git LFS. The number next to the refiner means at what step (between 0-1 or 0-100%) in the process you want to add the refiner. 9モデルが実験的にサポートされています。下記の記事を参照してください。12GB以上のVRAMが必要かもしれません。 本記事は下記の情報を参考に、少しだけアレンジしています。なお、細かい説明を若干省いていますのでご了承ください。stable-diffusion-xl-refiner-1. I have tried the SDXL base +vae model and I cannot load the either. It's down to the devs of AUTO1111 to implement it. silenf • 2 mo. 2 (1Tb+2Tb), it has a NVidia RTX 3060 with only 6GB of VRAM and a Ryzen 7 6800HS CPU. 0! This workflow is meticulously fine tuned to accommodate LORA and Controlnet inputs, and demonstrates interactions with. The SDXL model is, in practice, two models. SDXL two staged denoising workflow. Having it enabled the model never loaded, or rather took what feels even longer than with it disabled, disabling it made the model load but still took ages. But these improvements do come at a cost; SDXL 1. Discover the Ultimate Workflow with ComfyUI in this hands-on tutorial, where I guide you through integrating custom nodes, refining images with advanced tool. Note that for Invoke AI this step may not be required, as it’s supposed to do the whole process in a single image generation. You just have to use it low enough so as not to nuke the rest of the gen. 5. : sdxlネイティブ。 複雑な設定やパラメーターの調整不要で比較的高品質な画像の生成が可能 拡張性には乏しい : シンプルさ、利用のしやすさを優先しているため、先行するAutomatic1111版WebUIやSD. a closeup photograph of a. With Automatic1111 and SD Next i only got errors, even with -lowvram. safetensors. x for ComfyUI. That being said, for SDXL 1. It compromises the individual's DNA, even with just a few sampling steps at the end. This checkpoint recommends a VAE, download and place it in the VAE folder. to join this conversation on GitHub. SDXL output images can be improved by making use of a refiner model in an image-to-image setting. SD-XL 1. そもそもSDXLのRefinerって何？ SDXLの学習モデルはBaseとRefinerに分類され、それぞれ役割が異なります。 SDXLは、画像を生成する際にBaseとRefinerをそれぞれ処理するので2Pass方式と呼ばれ、従来の1Pass方式と比べるとより綺麗な画像が生成. 1 was initialized with the stable-diffusion-xl-base-1. SDXL most definitely doesn't work with the old control net. Using preset styles for SDXL. 08 GB. SDXL使用環境構築について SDXLは一番人気のAUTOMATIC1111でもv1. The latent tensors could also be passed on to the refiner model that applies SDEdit, using the same prompt. The style selector inserts styles to the prompt upon generation, and allows you to switch styles on the fly even thought your text prompt only describe the scene. sdxl-0. 9 in ComfyUI, with both the base and refiner models together to achieve a magnificent quality of image generation. Starts at 1280x720 and generates 3840x2160 out the other end. 23-0. 0 is finally released! This video will show you how to download, install, and use the SDXL 1. 5とsdxlの大きな違いはサイズです。use the base model to produce an image, and subsequently use the refiner model to add more details to the image (this is how SDXL was originally trained) Base + refiner model. We will know for sure very shortly. 5 + SDXL Base+Refiner - using SDXL Base with Refiner as composition generation and SD 1. SDXL 1. SDXL apect ratio selection. 25 and refiner steps count to be max 30-30% of step from base did some improvements but still not the best output as compared to some previous commits :SDXL Refiner on AUTOMATIC1111 In today’s development update of Stable Diffusion WebUI, now includes merged support for SDXL refiner. What is the workflow for using the SDXL Refiner in the new RC1. Img2Img batch. The SDXL model consists of two models – The base model and the refiner model. 5 to SDXL cause the latent spaces are different. The model is released as open-source software. Next (Vlad) : 1. With regards to its technical. This is the most well organised and easy to use ComfyUI Workflow I've come across so far showing difference between Preliminary, Base and Refiner setup. I'm using Comfy because my preferred A1111 crashes when it tries to load SDXL. 今天，我们来讲一讲SDXL在comfyui中更加进阶的节点流逻辑。第一、风格控制第二、base模型以及refiner模型如何连接第三、分区提示词控制第四、多重采样的分区控制comfyui节点流程这个东西一通百通，逻辑正确怎么连都可以，所以这个视频我讲得并不仔细，只讲搭建的逻辑和重点，这东西讲太细过于. x. With usable demo interfaces for ComfyUI to use the models (see below)! After test, it is also useful on SDXL-1. But let’s not forget the human element. r/StableDiffusion. 20:57 How to use LoRAs with SDXL. If other UI can load SDXL with the same PC configuration, why Automatic1111 can't it?. Part 3 (this post) - we will add an SDXL refiner for the full SDXL process. it might be the old version. Step 2: Install or update ControlNet. This seemed to add more detail all the way up to 0. but I can't get the refiner to train. Next, select the base model for the Stable Diffusion checkpoint and the Unet profile for. 3) Not at the moment I believe. 9. The chart above evaluates user preference for SDXL (with and without refinement) over Stable Diffusion 1. 6. How to generate images from text? Stable Diffusion can take an English text as an input, called the "text prompt", and. ago. The SD-XL Inpainting 0. Suddenly, the results weren't as natural, and the generated people looked a bit too. The. 9vae. The first 10 pictures are the raw output from SDXL and the LoRA at :1 The last 10 pictures are 1. 5? I don't see any option to enable it anywhere. SD-XL 1. 0 ComfyUI Workflow With Nodes Use Of SDXL Base & Refiner ModelIn this tutorial, join me as we dive into the fascinating worl. In the second step, we use a. Instead you have to let it VAEdecode to an image, then VAEencode it back to a latent image with the VAE from SDXL and then upscale. sd_xl_base_1. Setup. Steps: 30 (the last image was 50 steps because SDXL does best at 50+ steps) Sampler: DPM++ 2M SDE Karras CFG set to 7 for all, resolution set to 1152x896 for all SDXL refiner used for both SDXL images (2nd and last image) at 10 steps Realistic vision took 30 seconds on my 3060 TI and used 5gb vram SDXL took 10 minutes per image and used. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. json: 🦒 Drive Colab. 0. There are two ways to use the refiner:</p> <ol dir=\"auto\"> <li>use the base and refiner models together to produce a refined image</li> <li>use the base model to produce an image, and subsequently use the refiner model to add more details to the image (this is how SDXL was originally trained)</li> </ol> <h3 tabindex=\"-1\" dir=\"auto\"><a. 5 counterpart. 6. Post some of your creations and leave a rating in the best case ;)SDXL's VAE is known to suffer from numerical instability issues. The base model generates (noisy) latent, which.