Sdxl resolution cheat sheet. It’s a very specific list of values.
Sdxl resolution cheat sheet 0. 5's 64x64) to enable generation of high-res image. 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. This isn't strictly true, but it is true enough in practice. Here's the code to generate your own custom resolutions: To achieve the best results, use these SDXL resolutions: 1024 x 1024 (1:1 Square): Perfect for balanced compositions and general-purpose use. While having an overview is helpful, keep in mind that these styles only imitate certain aspects of the artist's work (color, medium, location, etc. Support for multiple native resolutions instead of just one for SD1. SDXL is trained at 1024×1024 Nov 28, 2024 · aspect ratio sd1. You can define how many steps the refiner takes. SDXL was trained at a base resolution of 1024x1024, but was further fine-tuned on multiple aspect ratios. Sep 18, 2023 · For SDXL, try to have around 1 million pixels (1024 x 1024 = 1,048,576) with both width and height divisible by 8. 3. how much upscale it needs to reach my target res. The higher resolution enables far greater detail and clarity in generated imagery. A collection of what Stable Diffusion imagines these artists' styles look like. All images were generated with either the Deliberate v2 or the DreamShaper 3. 5 Cheat Sheet - Documentation & FAQ Table of Contents Image Generation for Styles How to Test an Artist Style Forcing Results FAQ Image Generation for Styles. But what caught my eye was the list of resolution config that came with the app. 2 Checkpoint. SDXL is often referred to as having a 1024x1024 preferred resolutions. 5 sd2. EDIT: and now it's converted into ComfyUI custom node, I just need to input my target resolution, and it gives me a node for recommended SDXL resolution and upscale value to reach target resolution. In this mode you take your final output from SDXL base model and pass it to the refiner. . https://www. 768x768: A lower resolution option that still maintains excellent quality. Ensemble of Fooocus borrows ideas from Midjourney’s ease of use with an open source philosophy, backed by SDXL rendering. If you read the SDXL paper what happened is that SDXL was trained on both high and low resolution images. It’s a very specific list of values. By default, draft images are created as 512×512. 8K subscribers in the promptcraft community. 1152 x 896 (9:7) & 896 x 1152 (7:9): Ideal for portraits or close-up images. 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. From my experience with SD 1. The post also includes a link to a technical report and a list of resolutions supported by clipdrop. However it learned (understandably) to associate low resolution output with less detail and less well-defined output, so when you ask it for those sizes, that's what it delivers. Higher resolution up to 1024×1024. 1152x768: Perfect for landscape-oriented images, offering a higher resolution for more detailed outputs. ). I hope you'll give it a try! Featuring: many more tags per artist: styles, mediums, subject matter, movement, and more filter artists by combination of any tags click to save as a favorite, then filter your favorites list click to search Bing images for that artist Stable Diffusion 1. Enlarged 128x128 latent space (vs SD1. Credit to a Reddit discussion and to EffyewMoney. what SDXL ratio and resolution I should choose. 1 (768x768): SDXL Resolution Cheat Sheet and SDXL Multi-Aspect Training. 5 (512x512) and SD2. com/r/StableDiffusion/comments/15c3rf6/sdxl_resolution_cheat_sheet/ SDXL Resolution Cheat Sheet : StableDiffusion SDXLの出力解像度は合計 Cheat Sheet Cheat Sheet. reddit. Jun 4, 2025 · SDXL Dimensions Resolution Cheat Sheet. Sampler was DPM++ 2M Karras or DPM++ SDE Karras, depending on the better result. You can also manually set the resolution with /size. co. 5 and 768×768 for SD 2. Aspect ratios useful to know when working with SDXL checkpoint models and related resources. Sep 6, 2024 · Here are the best resolutions for common aspect ratios: 1024x1024: The native resolution for SDXL, providing the highest quality for square images. Cheat sheet was my inspiration for my SD Artists Browser app. 1 sdxl sd35 + 2 Because Stable Diffusion and Automatic 1111 only accept pixel numbers dividable by 8, it can be a little confusing to match the image size to certain aspect ratios. You can use the refiner in two ways: one after the other; as an ‘ensemble of experts’ One after the other. Stable Diffusion XL can produce images at a resolution of up to 1024×1024 pixels, compared to 512×512 for SD 1. A community for discussing the art / science of writing text prompts for Stable Diffusion and… Posted by u/NitroWing1500 - 185 votes and 25 comments With SDXL you can use a separate refiner model to add finer detail to your output. Apr 13, 2025 · Let’s cover all the new things that Stable Diffusion XL (SDXL) brings to the table. I made a handy cheat sheet and Python script for us to calculate ratios that fit this guideline. A user shares a table of SDXL resolution options and gets feedback from other users. lzchmkhysoxmyfunbegfmlptowskkrrtlfkcnxkbjayoknbpfdewaz