Check the version description below (bottom right) for more info and add a ❤️ to receive future updates. Do you like what I do? Consider leaving me a <a target="_blank" rel="ugc" href="https://www.paypal.com/paypalme/lautaroturina?country.x=AR&amp;locale.x=es_XC">tip</a>Hi, I'm shikasensei, also known as u/Boring_Ad_914 on Reddit. With the hype around Magnific AI, I found myself drawn to achieving similar results. Initially, I was inspired by LDWorks' work; however, due to the limitations of their initial workflow, I decided to create my own, thus Ultra Upscale was born.Currently, my focus has shifted more to tools like Clarity Upscaler and ultimately Magnific AI. However, moving the Automatic1111 workflow to ComfyUI has not been successful because the Tiled Diffusion nodes work differently. If anyone finds a way to achieve this, please let me know and I'll be happy to update the workflow.In relation to the previous point, I recommend using Clarity Upscaler combined with tools like Upscayl, as this achieves much better results. However, I have updated the workflow because many people use it, and because I myself use ComfyUI in my day-to-day work and find it tedious to launch Automatic1111 just to upscale an image.Please consider the following:<ol><li>The workflow currently scales an image from 768x768 to 6144x6144. This doesn't mean it's limited to square images; rather, the workflow increases your image size by 8 times. Therefore, for larger images, it will take longer. One option would be to resize the image to 768 or 1024.</li><li>Before commenting on any issues with the workflow, ensure all necessary nodes are installed, update ComfyUI, and all nodes.</li></ol>IMPORTANT: To install the missing nodes, you will have to install ComfyUI Manager. Once installed, you will have to click on "Install missing nodes" and install each node that appears.Additional resources:<ul><li><a target="_blank" rel="ugc" href="https://github.com/pythongosssss/ComfyUI-WD14-Tagger">https://github.com/pythongosssss/ComfyUI-WD14-Tagger</a></li><li><a target="_blank" rel="ugc" href="https://github.com/cubiq/ComfyUI_IPAdapter_plus">https://github.com/cubiq/ComfyUI_IPAdapter_plus</a></li><li><a target="_blank" rel="ugc" href="https://github.com/shiimizu/ComfyUI-TiledDiffusion">https://github.com/shiimizu/ComfyUI-TiledDiffusion</a></li><li><a target="_blank" rel="ugc" href="https://github.com/ssitu/ComfyUI_UltimateSDUpscale">https://github.com/ssitu/ComfyUI_UltimateSDUpscale</a></li></ul>I hope you find this workflow helpful. Please let me know if you have any questions or suggestions.Links to examples:<a target="_blank" rel="ugc" href="https://imgsli.com/MjQzNDE1">Image 1 - Imgsli</a><a target="_blank" rel="ugc" href="https://imgsli.com/MjMxNzE5">Image 2 - Imgsli</a><a target="_blank" rel="ugc" href="https://imgsli.com/MjMxNzIx">Image 3 - Imgsli</a><a target="_blank" rel="ugc" href="https://imgsli.com/MjM0NDcz">Image 4 - Imgsli</a>

Ultra Upscale

Check the version description below (bottom right) for more info and add a ❤️ to receive future updates. Do you like what I do? Consider leaving me a <a rel="ugc" href="https://www.paypal.com/paypalme/lautaroturina?country.x=AR&amp;locale.x=es_XC">tip</a>Recently, with the rise of MagnificAI, I became interested in how to increase the size of images without losing detail or modifying composition. I came across the work of <a target="_blank" rel="ugc" href="https://civitai.com/user/LD2WDavid">u/LD2WDavid</a>, who mentioned having trouble going beyond 6k. Based on their research, I developed a workflow that allows scaling images to much higher resolutions, while maintaining excellent quality.The workflow is based on the use of Ultimate SD Upscale (No Upscale) and the use of Self-Attention-Guidance (SAG).I have tested this workflow with images of different sizes and compositions, and the results have been very satisfactory.The model used was CyberRealistic with the LoRA SDXLRender. SD 1.5 was used because no better results were obtained with SDXL or SDXL Turbo.It is likely that using IP-Adapter would allow for better results, but that is something I will be testing soon. For now, I am a bit busy.The processing time will clearly depend on the image resolution and the power of your pc. In my case, with an Nvidia RTX 2060 with 12 GB, the processing time to scale an image from 768x768 pixels to 16k was approximately 12 minutes.In the workflow notes, you will find some recommendations as well as links to the model, LoRa, and upscalers.Links to images for examples<ol><li><a target="_blank" rel="ugc" href="https://imgsli.com/MjMwMTYy">Image 1 - Imgsli</a></li><li><a target="_blank" rel="ugc" href="https://imgsli.com/MjMwMTY2">Image 2 - Imgsli</a></li><li><a target="_blank" rel="ugc" href="https://imgsli.com/MjMwMTcx">Image 3 - Imgsli</a></li><li><a target="_blank" rel="ugc" href="https://pixeldrain.com/l/vspRwNuj">Image 768x768 to 11584x11584 ~ pixeldrain</a></li></ol>

ultraUpscale_sd1510.zip

SD 1.5 - 1.0

SD 1.5 - 3.0

Files with SHA256: be6ad6e8b82f0b6143705cf87dc964f9f4566907d9e39b7153299e3ad52ff34b