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replied to MonsterMMORPG's post about 1 hour ago
SUPIR is Still Unchallanged Image Upscaler — Supports GPUs starting from RTX 1000 series to RTX 5000 series App Download Link You can download SUPIR app from here : https://www.patreon.com/posts/99176057 CHECK BELOW SCREENSHOTS It has 1-click installers for Windows (only Python 3.10.11 and Git should be sufficient), RunPod (official Pytorch 2.2.0 template) and Massed Compute template Creator > SECourses App Info SUPIR: Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild 1 click installer scripts. SUPIR Sampler and Text CFG Comparison : https://imgsli.com/MjU2ODQz/2/1 Gemini 2.5 Pro prompt to get image description for free : describe this image for sdxl. write single line prompt to regenerate it exactly same. make the prompt extremely detailed https://aistudio.google.com/prompts/new_chat Use Default preset for highest loyalty and Replicate preset for adding more details Human upscale from 1024x1024 to 3072x3072 (3x upscale and total 9x resolution) with face restore comparison https://imgsli.com/NDEzMDYx Owl upscale from 1024x1024 to 3072x3072 (3x upscale and total 9x resolution) https://imgsli.com/NDEzMDYy Video Tutorials Tutorials are older but hopefully a newer one will be made and they should be still useful Complete Guide to SUPIR Enhancing and Upscaling Images Like in Sci-Fi Movies on Your PC How To Install SUPIR On RunPod and Massed Compute How To Install & Use SUPIR : SOTA Image Upscaler On RunPod — 1 Click Easy Install & Run 6 September 2025 Update V91 Libraries upgraded to Torch 2.8, CUDA 12.9, xFormers 0.0.33, Flash Attention 2.8.3 You don’t need to have CUDA or anything else installed and it should work with Python 3.10.11 and Git installed When compiling libraries, I added support for all GPUs starting from RTX 1000 to 5000 series including other GPUs like A100, H100, B200, L40, etc Compiled for TORCH_CUDA_ARCH_LIST=6.1;7.5;8.0;8.6;8.9;9.0;10.0;12.0
new activity about 21 hours ago
community-spotlight/README:Nominate a tool builder
upvoted a paper 1 day ago
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
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