Sdxl supported resolutions. my custom node already updates it to all resolutions.

Or, how I learned to make really weird cats. This node is particularly useful when you need to ensure that your image processing tasks conform to predefined resolution standards, which can be crucial for maintaining consistency and quality in your AI-generated artwork. You may experiment with various resolutions for different subjects. This might be your perfect entry point for experimenting with SDXL. VAE. The inability to use negative prompts is a bumper. Version 6 adds more lora support and more style in general. These all to avoid using bad/arbitary initial ratio/resolution. For best results, keep height and width at 1024 x 1024 or use resolutions that have the same total number of pixels as 1024*1024 (1048576 pixels) Here are some examples: 896 x 1152; 1536 x 640; SDXL does support resolutions for higher total pixel values, however res. Detailed Explanation about SDXL sizes and where to use each size. But SDXL Jul 26, 2023 · SDXL 1. When scaling up the resolution, the GPU devices are better utilized. Oct 30, 2023 · Learn how to generate images with Stable Diffusion XL using the optimal resolutions and ratios. Aug 27, 2023 · SDXLResolution: The CM_SDXLResolution node is designed to help you select a specific resolution from a list of supported SDXL resolutions. Wish there was a "free RAM" extension… I remember having different quality and speeds in sd 1. I would like to know what are the resolutions that I should be using for sdxl and instant id? We would like to show you a description here but the site won’t allow us. The distilled model has to be trained to jump to ODE endpoints x 0 subscript 𝑥 0 x_{0} italic_x start_POSTSUBSCRIPT 0 end_POSTSUBSCRIPT , but since the quality for one-step inference SDXL – A settings guide by Replicate. Stable Diffusion XL 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, Robin Rombach. Feb 7, 2024 · To use SDXL, you’ll need to download the two SDXL models and place them in your ComfyUI models folder. my custom node already updates it to all resolutions. The AI model was trained on images of varying sizes, so you can generate results at different resolutions. The model is released as open-source software. With a resolution of 1024x1024 pixels and relying on Stable Diffusion XL (SDXL) is currently the most popular version of Stable Diffusion. It’s significantly better than previous Stable Diffusion models at realism. NVIDIA NIM. g. With Stable Diffusion XL 1. 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. Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters. Fooocus is an image generating software (based on Gradio ). Apply to Self-Host. Proposed workflow Fooocus. 33 57 yes in fact, this is the initial resolution I list in my custom node just because it was the common resolution. We design multiple novel conditioning schemes and train SDXL on multiple Here's a simple script (also a Custom Node in ComfyUI thanks to u/CapsAdmin), to calculate and automatically set the recommended initial latent size for SDXL image generation and its Upscale Factor based on the desired Final Resolution output. 5 in sd_resolution_set. Nodes: ImageGlitcher (gives an image a cool glitchy effect), ColorStylizer (highlights a single color in an image), QueryLocalLLM (queries a local LLM API though oobabooga), SDXLReslution (resolution picker for the standard SDXL resolutions, the complete list), SDXLResolutionSplit (splits the SDXL resolution into width and height). 24GB VRAM is enough for SDXL Resolution Presets (ws) Easy access to the officially supported resolutions, in both horizontal and vertical formats: 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640 About Jul 14, 2023 · The Stable Diffusion XL (SDXL) model is the official upgrade to the v1. You can try setting the height and width parameters to 768x768 or 1024x1024, but you should expect quality degradations when doing so. 0 = 1 step in our example below. For best results, both height and width should be kept at 1024. Make sure to set guidance_scale to 0. If you're interested in "absolute" realism, try AbsoluteReality. Jul 28, 2023 · To make full use of SDXL, you'll need to load in both models, run the base model starting from an empty latent image, and then run the refiner on the base model's output to improve detail. This is likely the reason SDXL-Turbo only supports up to 512px resolution. Here are some tips to save memory and speed up inference. Input your desired output final resolution, it will automaticaly set the initial recommended SDXL ratio/size and its Upscale Factor to reach that output final resolution, also there's an option for 2x/4x reverse Upscale Factor. StableDiffusion SDXL Turbo. A mixture of effects and quality of life nodes. Oct 25, 2023 · It’s a very specific list of values. Jun 23, 2023 · SDXL 0. 5 is 512x512, while SDXL has a higher native resolution of 1024x1024, allowing for higher resolution outputs. The abstract from the paper is: We present SDXL, a latent diffusion model for text-to-image synthesis. 0 CFG. 20/02/2023 ⚠️ this update will remove your local config files (aspect_ratios. I use After Detailer (ADetailer) with the following configs for SDXL. ). 5 * 2. 5 Resolutions, like 512x512 or 512x768. I recommend any of the DPM++ samplers, especially the DPM++ with Karras samplers. 5 model. The abstract of the paper is the following: We present SDXL, a latent diffusion model for text-to-image synthesis. It seems like a solid model, probably on par with SDXL or even better, but there is very little third party support (e. Join us for a wider point of view. 9. So, it’s recommended that you set the image size to either 1024×1024 or higher. Experience. Text-to-Image. 25. Version 7 improves lora support, NSFW and realism. to previous versions of Stable Diffusion,SDXL le verages a three times larger UNet. 5 models will not work with SDXL. We present SDXL, a latent diffusion model for text-to-image synthesis. ) Aug 6, 2023 · For best results, keep height and width at 1024 x 1024 or use resolutions that have the same total number of pixels as 1024*1024 (1048576 pixels) Here are some examples: 896 x 1152; 1536 x 640; SDXL does support resolutions for higher total pixel values, however results may vary. See examples of images generated with different resolutions and prompts. Following the above, you can load a *. Dec 15, 2023 · TensorRT support is also missing for Nvidia GPUs, and most likely we'd see quite a few GPUs struggle with SDXL. Jan 23, 2024 · Use Stable Diffusion XL in the cloud on RunDiffusion. 4× and 6. Updating ControlNet. Jul 4, 2023 · We present SDXL, a latent diffusion model for text-to-image synthesis. Select base SDXL resolution, width and height are returned as INT values which can be connected to latent image inputs or other inputs such as the CLIPTextEncodeSDXL width, height, target_width, target_height. 26 512 1920 0. Remarkably, when generating 3840×3840 images, DistriFusion achieves 1. All resolutions, from 21:9 to 32:9, are celebrated here. Everything default except 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. The training script is also similar to the Text-to-image training guide, but it’s been modified to support SDXL training. Jan 25, 2024 · Super fast generations at "normal" XL resolutions with much better quality than base SDXL Turbo! Suggested settings for best output. This significantly limits the model’s capability. Stability AI - Developer Platform Feb 17, 2024 · Cinematix works best with standard SDXL resolutions (1024x1024, 1024x768, 960x1280, 1280x1472, 1280x1536), but it can render meaningful images in lower resolutions too (512x768, 768x768, 384x512, 384x256 or 256x192 with use of a proper upscaler, read below). The truth is, SDXL is much harder to overtrain than SD15. Download Hyper-SDXL 1-step LoRA. It is created by Stability AI. 0 is a new text-to-image model by Stability AI. Here is the full list of supported resolutions, as provided in the official SDXL documentation by Stability AI: 640 x 1536 768 x 1344 832 x 1216 896 x 1152 1024 x 1024 1152 x 896 1216 x 832 1344 x 768 1536 x 640. Dec 19, 2023 · 4. 5 model which was trained on 512×512 size images, the new SDXL 1. We’re going to look at how to get the best images by exploring: The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. Nov 30, 2023 · Part of the appeal of the SDXL model is higher image resolution. We would like to show you a description here but the site won’t allow us. from diffusers. 5 Upscale. 0 model is trained on 1024×1024 dimension images which results in much better detail and quality of images generated. At the moment, the SD. Authored by JPS-GER. This LoRA can be used for 1, 2, 4, and 8 sampling steps. 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. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. Dec 24, 2023 · Software. 27 512 1856 0. When using Stable Diffusion 1. 0. Step 3: Download the SDXL control models. HiRes: 4xNMKD-Siax_200k with 3 Steps and 0. Many samplers don't agree too The sdxl_resolution_set. :/ I'm running on A100/High RAM and I have to restart (luckily not disconnect/delete, because that takes another five minutes) every 15-20 generations or so. Sampler: DPM++ SDE or DPM++ SDE Karras. We design multiple novel conditioning schemes and train SDXL on multiple Stable Diffusion XL (SDXL) is an open-source diffusion model, the long waited upgrade to Stable Diffusion v2. Extensions; Eagle PNGInfo; Nodes; SDXL Resolution Presets (ws) ComfyUI Node: SDXL Resolution Presets (ws) Authored by . 0, the most sophisticated iteration of its primary text-to-image algorithm. VRAM settings. txt) and it will create new default ones. backbone: The increase of Jul 27, 2023 · Stability AI unveiled SDXL 1. I hope this will be just a temporary repository until the nodes get included into ComfyUI. Authored by cubiq. . But this bleeding-edge performance comes at a cost: SDXL requires a GPU with a minimum of 6GB of VRAM, requires larger Stable Diffusion. Next web user interface. 5 seconds so there is a significant drop in time but I am afraid, I won't be using it too much because it can't really gen at higher resolutions without creating weird duplicated artifacts. 🧨 Diffusers It's faster for sure but I personally was more interested in quality than speed. 0, it is now more practical and effective than ever! Jul 10, 2023 · I'm using 1. Aug 13, 2023 · I've had recently short discussion with Fooocus author about official list of supported resolutions, because currently there is a discrepancy between list in SDXL research paper (Appendix I), and your code. Learned from Midjourney, the manual tweaking is not needed, and users only need to focus on the prompts and images. (SwinIR_4x is a good example) if all you want is higher resolutions. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom . (As a sample, we have prepared a resolution set for SD1. 5-like resolutions, ie. from diffusers import AutoPipelineForImage2Image. 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. Installing ControlNet for Stable Diffusion XL on Windows or Mac. It should be possible to pick in any of the resolutions used to train SDXL models, as described in Appendix I of SDXL paper: Height Width Aspect Ratio 512 2048 0. Supporting nearly 3x the parameters of Stable Diffusion v1. 9 version, uses less processing power, and requires fewer text questions. This adds a fair bit of tedium to the generation session. It is a much larger model. SDXL was trained at a base resolution of 1024x1024, but was further fine-tuned on multiple aspect ratios. Here are a few predictions for the future of AI art with SDXL: Expect Higher Resolutions As computing power continues to increase and hardware improves, we can expect SDXL to support even higher resolutions. Ce n'est pas tous les jours que nous voyons un outil aussi puissant et flexible faire son apparition sur la scène de l'IA - Encore moins en Open Source. SDXL 1. I would prefer that the default resolution was set to 1024x1024 when an SDXL model is loaded. Just like its predecessors, SDXL has the ability to generate image variations using image-to-image prompting, inpainting (reimagining Jul 4, 2023 · We present SDXL, a latent diffusion model for text-to-image synthesis. Compared. Download. 6 billion, compared with 0. Once you become a more experienced, you can enable bucketing and do bucketing enabled different aspect ratio and resolution including trainings. 5. Fooocus is a rethinking of Stable Diffusion and Midjourney’s designs: Learned from Stable Diffusion, the software is offline, open source, and free. Le lancement de SDXL 1. The good news is that the SDXL v0. Installing ControlNet for Stable Diffusion XL on Google Colab. Installing ControlNet. 1 now with SDXL support built-in. org Feb 11, 2024 · 11/02/2024 :添加常用的 SDXL 官方、SD1. While it is possible to generate images at 512x512 resolution, the results are of lower quality and will suffer from distortion. Jul 4, 2023 · W e present SDXL, a latent diffusion model for text-to-image synthesis. Dive into discussions about game support, productivity, or share your new Ultrawide setup. A custom node for Stable Diffusion ComfyUI to enable easy selection of image resolutions for SDXL SD15 SD21. ax株式会社はAIを実用化する会社として、クロス The training script is also similar to the Text-to-image training guide, but it’s been modified to support SDXL training. CFG: 1-2 (recommend 2 for a bit negative prompt affection) Negative: Only working slightly on CFG 2. It’ll be faster than 12GB VRAM, and if you generate in batches, it’ll be even better. around 512x512. Feb 24, 2024 · SDXL Resolution. utils import load_image. json. We will discuss SDXL LoRA training further in the next article. 5. SDXL trained on 1024 x 1024 size but fine-tuned on this list of sizes. 5 和自定义分辨率，隐藏删除比例按钮。 11/02/2024 :Add common resolutions, hide Delete aspect ratio button. These can be then modified freely Explore the advancements in high-resolution image synthesis with SDXL, a new version of Stable Diffusion detailed in this arXiv paper. It creates beautiful 1024x1024 images with simple prompts. While SDXL does not yet have support on Automatic1111, this is anticipated to shift soon. You can run this model in Automatic1111 like a normal XL model, however not all samplers work with it. Jan 16, 2024 · Submission Number: 3626. By targeting these aspect ratios for your renders, you will then have the most optimal results — and hence why you should absolutely follow this table of values when make your renders. Sampler: DPM++ SDE Karras. Download the SDXL base and refiner models from the links given below: Once you’ve downloaded these models, place them in the following directory: ComfyUI_windows_portable\ComfyUI\models\checkpoints. 28 576 1792 0. June 22, 2023. Aug 24, 2023 · また、SDXL向けのLoRAを作成し、特定の絵柄の高品質な画像が生成できることを確認しました。. It can create images in variety of aspect ratios without any problems. 0 to disable, as the model was trained As of the time of writing, SDXLv0. It starts by creating functions to tokenize the prompts to calculate the prompt embeddings, and to compute the image embeddings with the VAE. Extension: CrasH Utils A mixture of effects and quality of life nodes. It was released in July 2023 and creates fantastic, realistic images around the 1024x1024 resolution, though you can use any aspect ratio. Support. Stable Diffusion XL 1. Stable Diffusion 1. SDXL takes around 30 seconds on my machine and Turbo takes around 7. The image-to-image pipeline will run for int(num_inference_steps * strength) steps, e. 6. 9 can be used with the SD. 1. 5, SDXL is flexing some serious muscle—generating images nearly 50% larger in resolution vs its predecessor without breaking a sweat. 0 par Stability AI est une véritable révolution. With few exceptions they are new features and not commodities. It has a base resolution of 1024x1024 pixels. In ComfyUI this can be accomplished with the output of one KSampler node (using SDXL base) leading directly into the input of another KSampler node (using Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet. 32 576 1728 0. By default, SDXL Turbo generates a 512x512 image, and that resolution gives the best results. Jul 4, 2023 · Abstract. In this tutorial I show you m Jan 12, 2024 · SDXL is trained on 1024 x 1024 images. Mar 18, 2024 · SDXL-refiner-1. In the AI world, we can expect it to be better. Stable Diffusion XL 0. The total number of parameters of the SDXL model is 6. This UI is a fork of the Automatic1111 repository, offering a user experience reminiscent of automatic1111. dimtoneffCreated 6 months ago. Image Generation. 98 billion for the v1. 9: The base model was trained on a variety of Apr 2, 2024 · Stable Diffusion XL 1. Aug 6, 2023 · SDXL does support resolutions for higher total pixel values, however results will not be optimal. I've found DPM++ SDE is the best output Nov 28, 2023 · SDXL Turbo is based on a novel distillation technique called Adversarial Diffusion Distillation (ADD), which enables the model to synthesize image outputs in a single step and generate real-time text-to-image outputs while maintaining high sampling fidelity. Read about SDXL's supported "native" resolutions here: SDXL 1. com. custom finetunes, LoRAs, ControlNet, Inpainting, etc. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. It should also be better at generating directly at 1024 height (but be careful with it). sdxl-turbo. But it is limited to SD 1. Essential nodes that are weirdly missing from ComfyUI core. For researchers and enthusiasts interested in technical details, our research paper is Nov 29, 2023 · I played with the new SDXL Turbo checkpoint this morning, and here are a few notes relevant to krita-ai-diffusion. This guide will focus on the code that is unique to the SDXL training script. Unlike the previous SD 1. Oct 30, 2023 · Recommended graphics card: MSI Gaming GeForce RTX 3060 12GB. Measured total latency of DistriFusion with SDXL using a 50-step DDIM sampler for generating a single image across on NVIDIA A100 GPUs. 5 at non-optimal sizes, such as 1024x768, there's a higher chance of deformities like double heads in the generated images. July 4, 2023. 6 and 1. The dual text-encoders also support textual inversion embeddings that need to be loaded separately as explained in the SDXL textual inversion section. La capacité de SDXL 1. Welcome to r/ultrawidemasterrace, the hub for Ultrawide enthusiasts. 0: An improved version over SDXL-refiner-0. Sep 10, 2023 · SDXL is not trained for 512x512 resolution , so whenever I use an SDXL model on A1111 I have to manually change it to 1024x1024 (or other trained resolutions) before generating. The model was trained at 1024 x 1024 and finetuned on multiple aspect ratios with 1 megapixel or less. x are all improvements. 0. Learn how to use SDXL resolutions to create stunning images with this handy cheat sheet. SDXL is a large model, and you may need to optimize memory to get it to run on your hardware. txt and resolutions. Steps: 3 - 5. 1× speedups with 2, 4, and 8 A100s, respectively. SDXL is not currently supported on Automatic1111 but this is expected to change in the near future. 0 et l'avenir de la génération d'images. The native resolution of Stable Diffusion 1. 2. 16GB VRAM can guarantee you comfortable 1024×1024 image generation using the SDXL model with the refiner. Could you please explain which For text-to-image, pass a text prompt. Step 1: Update AUTOMATIC1111. Stable Diffusion XL. Cette mise à jour marque une avancée significative par rapport à la version bêta précédente, offrant une qualité d'image et une composition nettement améliorées. json file already contains a set of resolutions considered optimal for training in SDXL. Jul 31, 2023 · SDXL is ready to turn heads. Extension: ComfyUI Essentials. 9 can now be used on ThinkDiffusion. Here are some common resolutions that use 1024 as the minimum you A mixture of effects and quality of life nodes. 9 and Stable Diffusion 1. Download the ComfyUI workflow below. We present Stable Diffusion XL (SDXL), a latent diffusion model for text-to-image synthesis. May 12, 2024 · Hyper-SDXL 1-step LoRA. 9 en détails. Start with DPM++ 2M Karras or DPM++ 2S a Karras. The base model from Stable Diffusion (available here) works blazingly fast at 1 to 4 steps, and 1. In general, if you use anything taller than 896 x 1152 you may get some elongation with SDXL. Put the model file in the folder ComfyUI > models > loras. Stability recommends that you keep the total number of pixels within 1024 x 1024 for best results. Feb 9, 2024 · Learn the resolutions and aspect ratios supported by SDXL, the extended version of Stable Diffusion, a text-to-image AI model. Dec 4, 2023 · Super fast generations at "normal" XL resolutions with much better quality than the (freshly released) SDXL Turbo! Suggested settings for best output. 9, ou SDXL 0. This is a fork from the VLAD repository and has a similar feel to automatic1111. We are releasing two new diffusion models for research purposes: SDXL-base-0. stabilityai. A technical report on SDXL is now available here. Stable Cascade's main appeal is its higher output resolution (1536x1536 or even higher). 5 (SD1. Next (Also called VLAD) web user interface is compatible with SDXL 0. 35 Denoise + 1. Aug 17, 2023 · So, the SDXL version indisputably has a higher base image resolution (1024x1024) and should have better prompt recognition, along with more advanced LoRA training and full fine-tuning support. 5 if u pick spesific resolutions. It's also available to install it via ComfyUI Manager (Search: Recommended Resolution Calculator) A simple script (also a Custom Node in ComfyUI thanks to CapsAdmin), to calculate and automatically set the recommended initial latent size for SDXL image generation and its Upscale Factor based on the desired Final Resolution output. And with a giant RAM leak, too. 0 provides Midjourney and Dall-E level of outputs that can be run on consumer-level hardware. It generates graphics with a greater resolution than the 0. 9 pour faire court, est la dernière mise à jour de la suite de modèles de génération d'images de Stability AI. Oct 13, 2023 · FenrisXL works at 1. When using SDXL-Turbo for image-to-image generation, make sure that num_inference_steps * strength is larger or equal to 1. Nodes: ImageGlitcher (gives an image a cool glitchy effect), ColorStylizer (highlights a single color in an image), QueryLocalLLM (queries a local LLM API though oobabooga), SDXLReslution (resolution picker for the standard SDXL resolutions, the complete list), SDXLResolutionSplit (splits the SDXL resolution into width and arXiv. A Replicate guide. Extension: Recommended Resolution Calculator. Steps: 4-6. json file during node initialization, allowing you to save custom resolution settings in a separate file. Samplers. /. When creating images with Stable Diffusion, one important consideration is the image size or resolution. Using a low resolution will not With its advanced capabilities, the model is poised to revolutionize the art world and shape the future of AI-generated art. I'd actually like to completely get rid of the upper line (I also don't know why I have duplicate icons), but I didn't take the time to explore it further as of now. Compared to previous versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone, achieved by significantly increasing the number of attention blocks and including a second text encoder. but it lacks something like 1:2 or 2:1 that someone in reddit mention, and I digging up information and read SDXL paper, turns out there are much more. Fine-tuned SDXL Turbo models started appearing shortly after the release of SDXL Turbo. Step 2: Install or update ControlNet. I forgot what video or what tweet but I read that you tend to get watermarks/signatures when use sdxl instant id at 1024x1024 (something I experienced). Second, an off-the-shelf vision encoder only works at t = 0 𝑡 0 t=0 italic_t = 0 . 0 also supports resolutions beyond 1024. Optimizations. According to SDXL paper references (Page 17), it's advised to avoid arbitrary resolutions and stick to Granted, it covers only a handful of all officially supported SDXL resolutions, but they're the ones I like the most. Recommended graphics card: ASUS GeForce RTX 3080 Ti 12GB. VAEs for v1. 8×, 3. Released in 2023, SDXL 1. a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation. Join the discussion and share your results with the StableDiffusion community. Steps Extension: JPS Custom Nodes for ComfyUI Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet May 16, 2024 · Recommended Setting Hyper Version (VAE is baked in): Res: 832*1216 (Any SDXL Res will work fine) Sampler: DPM++ SDE Karras. 0: a semi-technical introduction/summary for beginners. to get started. SDXL can handle larger image sizes Dec 23, 2023 · Super fast generations at "normal" XL resolutions with much better quality than base SDXL Turbo! Suggested settings for best output. CFG: 1 - 2. The SDXL Turbo model undoes that. Image Resolution. Set the CFG scale between 0. They will produce poor colors and image quality. 25 512 1984 0. 5 and 2. 5) is an older version that was open-sourced in August 2022, and its images are best at 512x512 Feb 19, 2024 · Use same resolution of training images resolution for regularization / classification images resolution. 0 à générer des images de haute Super fast generations at "normal" XL resolutions with much better quality than base SDXL Turbo! Suggested settings for best output. Fine-tuned SDXL Turbo models. os ir us on rd ju jd pg lk wk