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Gfpgan replicate com or xintaowang@tencent. This model costs approximately $0. 4" Practical face restoration algorithm for *old photos* or *AI-generated faces* Public; 31. 📧Contact. If you have any question, please email xintao. This model runs on Nvidia L40S GPU hardware. GFPGAN version. May 1, 2023 · Both models' run time average was calculated on the Nvidia T4 GPU by Replicate. 1M runs GitHub; Paper; License 🚀 Thanks for your interest in our work. Real-ESRGAN is an upscaler model that is cheap and fast. The GitHub repository "tencentarc/gfpgan" focuses on the development of practical algorithms for real-world face restoration, particularly for old photos or AI-generated faces. GFPGAN enjoys greater popularity, boasting 19,750,908 runs and a model rank of 3 on Replicate Codex. You may also want to check our new updates on the tiny models for anime images and videos in Real-ESRGAN 😊 GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. Practical face restoration algorithm for *old photos* or *AI-generated faces* (for larger images) GFPGAN (CVPR 2021) GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. com or xintaowang Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Model inputs and outputs The gfpgan model takes an image as input and outputs a restored, higher-quality version of that image. tencentarc / photomaker-style. Upload an image and choose the version and rescaling factor to get a better quality o 4 days ago · Additionally, the maintainer tencentarc offers an online demo on Replicate, allowing you to try the model without setting up the local environment. Practical face restoration algorithm for *old photos* or *AI-generated faces* (for larger images) 5 days ago · The gfpgan model can be compared to similar face restoration models like codeformer and upscaler, which also target improvements in old photo or AI-generated face restoration. Things to try Experiment with different input images, varying the scale and version parameters, to see how gfpgan can transform low-quality or damaged face images into high-quality, detailed portraits. If GFPGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊. com. Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Create photos, paintings and avatars for anyone in any style within seconds. The Replicate model also incorporates GFPGAN for fixing faces. It is also open source and you can run it on your own computer with Docker. The project utilizes a pretrained face GAN to leverage a variety of priors for effective restoration. Replicate demo for GFPGAN （You may need to login in to upload images~） GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. Replicate demo for GFPGAN （You may need to login in to upload images~） GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. Default: "v1. 4: more details and better identity. com or xintaowang This app improves the quality of old photos and AI-generated faces by restoring details and enhancing features. . (Stylization version) Upscaling images with Real-ESRGAN. 0011 to run on Replicate, or 909 runs per $1, but this varies depending on your inputs. 3: better quality. Their performance depends on the hardware capabilities of the system running them. 0090 to run on Replicate, or 111 runs per $1, but this varies depending on your inputs. Restore old photos or AI generated faces with GFPGAN. It leverages rich and diverse priors encapsulated in a pretrained Run time and cost. Predictions typically complete within 10 seconds. v1. wang@outlook. Codeformer, however, has 9,585,877 runs, a model rank of 6. It improves the quality of images by using a form of AI called a Generative Adversarial Network (GAN).