Huggingface upscale Discover amazing ML apps made by the community This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet. Running 1. All the feedbacks are updated in feedback. The tiles are upscaled in different diffusion seasons, so they cannot paste together seamlessly. Super-resolution. history import logging: import random: import warnings: import os: import gradio as gr: import numpy as np: import spaces: import torch: from diffusers import FluxControlNetModel: from diffusers. Upload a low-resolution image and choose upscale settings to generate a high-resolution version. Running on L4. Ilaria Upscaler uses the RealESRGANer class from the realesrgan module to upscale and restore images. FLUX. Inpainting with Stable Diffusion We provide a checkpoint finetuned for inpainting to perform text-based erase & replace functionality. Dec 11, 2023 · Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution Paper • 2312. Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. Latent upscaler. Refreshing Jul 16, 2024 · Enhance and upscale images with face restoration. Running on CPU Upgrade. Test base image (512x512): Test steps: Upscale image to (2048x2048) using R-ESRGANx4 Split image into tiles with size of 512x512, each tile overlaps with others by N pixels, where N Upload a low-resolution image and choose upscale settings to generate a high-resolution version. The generated images will update the selected assets or create new assets with a separate suffix. The implementation is a derivative of the Real-ESRGAN-x4plus architecture, a larger and more powerful version compared to the Real-ESRGAN-general-x4v3 architecture. Users can adjust settings like resolution, streng Enhance and upscale images with advanced controls. Check the superclass documentation for the generic methods the library implements for all the pipelines (such as downloading or saving, running on a particular device, etc. 1-dev ControlNet for low resolution images developed by Jasper research team. See the full list of models below. For a superior rendering experience, restart ComfyUI and select the Large-pro setup with an A10G 24GB VRAM and Sep 30, 2024 · Flux-dev-Upscaler-workflow. py, utils/util_calculate_psnr_ssim. Mar 27, 2023 · Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. txt file at the root of the repository to specify Python dependencies . Dependencies. The notebook is structured as follows: Setting up the Environment The models they found here taken from the community OpenModelDB is a community driven database of AI Upscaling models. 09/06/24 - Added an alternative version of the Flux Latent Upscaler workflow, this modified version uses Hyper Flux loras and a new clip text encoder made specifically for Flux and SD3, combined these cut inference time from ~280 seconds down to just over 130 seconds on a 4090 with 24GB of VRAM. SmolLM2-MedIT-Upscale-2B is an expanded version of the SmolLM2-1. Model Details Sep 30, 2024 · Flux-dev-Upscaler-workflow. fa98e35 Upscale / 4x-UltraSharp. 06640 • Published Dec 11, 2023 • 48 Upvote The Stable Diffusion upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION. Dec 20, 2023 · Hey guys, I am looking for a method to up-scale an image and have implemented some codes. This action allows you to select a single or multiple images from the assets and upscale by a factor of 2. 1-Pro is an advanced image generation model based on the FLUX. More details on model performance across various devices, can be found here. Safe. Upload an image, provide descriptions to guide the restoration, and choose the desired upscale facto We’re on a journey to advance and democratize artificial intelligence through open source and open science. 106. pipelines import FluxControlNetPipeline from super_image import Trainer, TrainingArguments, PanModel, PanConfig training_args = TrainingArguments( output_dir= '. This collection will be kept uptodate with new releases. 3. huggingface-projects Apr 8, 2024. Jul 30, 2024 · AuraSR-v2 GAN-based Super-Resolution for upscaling generated images, a variation of the GigaGAN paper for image-conditioned upscaling. txt file at the root of the repository to specify Debian dependencies. Previous methods have limitations such as the limited scope of audio types (e. 4x_foolhardy_Remacri is now available in the Extras tab and for the SD Upscale script. Unlike Gigapixels and so on it is not just uspacles - it re renders image adding new details. ⚡ Flux. It supports multiple models, each with different scales and architectures, providing flexibility in the upscaling process. 1-Pro Overview FLUX. Sep 13, 2023 · Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applications. The platform where the machine learning community collaborates on models, datasets, and applications. gitattributes. there is hi-res fix option. This application allows users to upload an image and enhance its quality by upscaling it to higher resolutions and optionally applying HDR effects. I want to share about the results and findings Hopefully we can improve the design a little bit and come up some new ideas. 03. Discover amazing ML apps made by the community Upscale images and remove image noise Real-ESRGAN is a machine learning model that upscales an image with minimal loss in quality. super-resolution upscaling high-definition upscaler diffusion-models diffusers Ultimate SD Upscale: The primary node that has the most of the inputs as the original extension script. Discover amazing ML apps made by the community Upscale images and remove image noise ESRGAN is a machine learning model that upscales an image with minimal loss in quality. like 2. 19:00 Testing image of a dinosaur in jurassic park image enhancement and upscaling with SUPIR (test image 5) 19:41 From 500px to 3000px upscale results and how to do very big upscale properly. This application allows you to enhance and upscale images up to x10 in resolution. 1 was released in lllyasviel/ControlNet-v1-1 by Lvmin Zhang. This expansion was achieved by doubling the number of heads in the q_proj, k_proj, v_proj, and o_proj layers, resulting in vectors of length 4096, compared to 2048 in the original model. Underneath is the upscale option where a single model (the finalist) gets chosen by the user to upscale the whole image, which will get upscaled, returned, and the user can download the final result. when generating images. To practically upscale any large-size image with this program, you need to dissect the low_res_img into an array of 128x128 tiles and upscale them individually with the StableDiffusionUpscalePipeline. 1-dev: Upscaler ControlNet ⚡ This is Flux. . Default: realesrgan -bg_tile Tile size for background sampler, 0 for no tile during testing. history comfyui / upscale_models / ESRGAN_4x. It is designed to deliver higher quality outputs, improved efficiency, and better alignment with user prompts, making it ideal for both artistic and commercial applications. This repository contains the PyTorch model for upscaling images. Hopefully we can improve the design a little bit and come up some new ideas. Dataset card Files Files and versions Community 1. Quickly utilise pre-trained models for upscaling your images 2x, 3x and 4x. This app restores and upscales images, allowing you to enhance low-resolution or damaged photos. You can customize the enhancement by adjusting settings like prompt, negative prompt, and upsc comfyui / upscale_models / ESRGAN_4x. Use this if you already have an upscaled image or just want to do the tiled sampling. It is possible to generalize the LCM framework to use with LoRA. Will retry in 1 seconds. Model Details Model Name: Kvi-Upscale; Author: KviAI; License: Creative Commons Attribution 4. torch. 1 contributor; History: 5 commits. This repository provides scripts to run ESRGAN on Qualcomm® devices. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 802. To get started, you need to create a Hugging face endpoint which is using one of these models: Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. 5 retries left. pipelines import FluxControlNetPipeline We’re on a journey to advance and democratize artificial intelligence through open source and open science. Audio Super Resolution Upscale Music Spring-2025. This model is an implementation of ESRGAN found here. The training code is at KAIR. 1 - Tile Version Controlnet v1. 3 -s upscale The final upsampling scale of the image. You can also post some pictures if you want them upscaled, I can upscale for you and upload to Thanks a lot for authors making this great upscaler available opn-source, ALL CREDITS GO TO THEM! Happy Upscaling! Sep 29, 2024 · Hey, everyone! Today, I’m excited to share a new ComfyUI workflow that I’ve put together, which uses the Flux model to upscale any image. If needed, you can also add a packages. clem / huggingface. with a proper workflow, it can provide a good result for high detailed, high resolution LoRA. Default: 2 -bg_upsampler background upsampler. Notebook to use the super-image library to quickly upscale and image. Upvote 1. comfyui / upscale_models / 4x_foolhardy_Remacri. You put initial res 512x512 and use hires fit to upscale. with a proper workflow, it can provide a good result for high detailed, high resolution Upscale. history Real-ESRGAN PyTorch implementation of a Real-ESRGAN model trained on custom dataset. Jan 2, 2023 · Updates. Jul 21, 2023 · Accessing Real-ESRGAN on HuggingFace. As this is a Dec 11, 2023 · Text-based diffusion models have exhibited remarkable success in generation and editing, showing great promise for enhancing visual content with their generative prior. This checkpoint is a conversion of the original checkpoint into diffusers format. Get a high-quality, restored image as output. More info. 25M steps on a 10M subset of LAION containing images >2048x2048. Note: This upscaling model is designed explicitely for Stable Diffusion as it can upscale Stable Diffusion's latent denoised image embeddings. 7B-Instruct model, increasing its parameter count to 2 billion. Default: 1. You can add a requirements. 2024 Purpose: 4x upscaler for photos downloaded from the web This app generates an image based on a text prompt and then upscays it using selected enhancement methods. This multi-stage process allows the model to focus on details at each stage without losing sight of the overall structure. fofr Upload folder using huggingface_hub. Model card Files Files and versions Community main Upscale-Models Upload folder using huggingface_hub about 1 year ago. Kizi-Art Upload 3 files. The technique used is applying a pre-trained deep-learning model to restore a high resolution (HR) image from a single low resolution (LR) image. fa98e35 about 2 years ago. Tile Upscaler. Duplicated from nightfury/Image_Face_Upscale_Restoration-GFPGAN. SmolLM2-MedIT-Upscale-2B Model Summary. . This model shows better results on faces compared to the original version. md at master · sczhou/Upscale-A-Video Discover amazing ML apps made by the community Oct 3, 2024 · JasperAI推出的HD放大器模型在Hugging Face上提供了快速精确的图像分辨率增强能力。本文介绍了如何在MimicPC上有效使用Flux-dev-Upscaler，包括安装步骤、工作流程设置和性能优化建议。该模型专注于图像放大，保持细节和质量，适合设计师和摄影师使用。通过合理调整控制参数，可以实现最佳效果。 Discover amazing ML apps made by the community Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. No model card. App Pre-trained models are available at various scales and hosted at the awesome huggingface_hub. py is enough. You provide an image and prompts describing the image, and the application generates a high-quality, upscaled vers This action allows you to select a single or multiple images from the assets and upscale by a factor of 2. GFPGAN. It is original trained for my personal realistic model project used for Ultimate upscale process to boost the picture details. like 1. The technique used is applying a pre-trained deep-learning model to restore a high resolution (HR) image from a single Upload an image, select a restoration version, and rescaling factor, to enhance and upscale it while restoring faces. This model is trained for 1. Jul 30, 2024 · As the Clarity pipeline does, we employ a multi-stage upscaling process for significant enlargements (e. The Stable Diffusion latent upscaler model was created by Katherine Crowson in collaboration with Stability AI. Sep 29, 2024 · Hey, everyone! Today, I’m excited to share a new ComfyUI workflow that I’ve put together, which uses the Flux model to upscale any image. Testing (without preparing datasets) For your convience, we provide some example datasets (~20Mb) in /testsets. Running 31. It consists of two modules: a denoiser, which separates speech from a noisy audio, and an enhancer, which further boosts the perceptual audio quality by restoring audio distortions and extending the audio bandwidth. It is used to enhance the output image resolution by a factor of 2 (see this demo notebook for a demonstration of the original implementation). This model can upscale 256x256 image to 1024x1024 within around 20[ms] on GPU and around 250[ms] on CPU. Share collection View history Collection guide Browse collections System theme Company. For a superior rendering experience, restart ComfyUI and select the Large-pro setup with an A10G 24GB VRAM and This app lets you improve the quality of your photos by increasing their resolution up to 8 times. This allows for very fast text-to-image + upscaling pipelines as all intermeditate states can be kept on GPU. d125a3b verified 6 months ago. 🌌 Thanks for your valuable feedbacks/suggestions. co Warning: Problem : timeout. You provide an image and prompts describing the image, and the application generates a high-quality, upscaled vers 使用 Stable Diffusion 2 进行文本引导的图像超分辨率的 Pipeline。 此模型继承自 DiffusionPipeline。 查看超类文档，了解为所有 pipeline 实现的通用方法（下载、保存、在特定设备上运行等）。 We’re on a journey to advance and democratize artificial intelligence through open source and open science. 04) with float32 and MCG-NJU/videomae-base-finetuned-kinetics model, we saw the following speedups during inference. 4xRealWebPhoto_v3_atd Name: 4xRealWebPhoto_v3_atd License: CC BY 4. video_upscale. If you just want codes, downloading models/network_swinir. It is used to enhance the resolution of input images by a factor of 4. Model card Files Files and versions Community 4. This is super resolution model to upscale anime like illustration image by 4x. On a local benchmark (A100-40GB, PyTorch 2. It effectively eliminates the need to conduct expensive fine-tuning runs as LoRA training concerns just a few number of parameters compared to full fine-tuning. ) The app enhances the faces while preserving their identity and can also upscale the image. We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data. How to track This step can be repeated by the user with another selection without reupload. Upscale. This procedure can, for example, also be used to upscale samples from the base model. Torch implementation is based on the unofficial lucidrains/gigagan-pytorch repository. 1-dev Upscaler - a Hugging Face Space by jasperai Note: This upscaling model is designed explicitely for Stable Diffusion as it can upscale Stable Diffusion's latent denoised image embeddings. This is also called image super resolution. Current super-resolution GAN techniques include the SRGAN, ESRGAN, and its variants. This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet. 0, OS Ubuntu 22. 🎛️ Adjustable Parameters: Upscale-Models. 04k. In this article, we’ll walk through the setup, features, and a detailed step-by-step guide on how to use this workflow to achieve high-quality upscaling results. from_pretrained(). Step 4: Optimize Performance with High-Capacity Hardware. In particular, for this article we will use Real-ESRGAN space created by havas79 to upscale the synthetic image right at top of this article. 22:39 GPU utilization of the SUPIR scripts Upload a low-resolution image, and this tool will upscale it to high resolution with improved details. Spaces. How to use This model can be used directly with the diffusers library Aug 22, 2024 · Some trending Gradio apps on Spaces that you can use to enhance/upscale your images for free. Super flux image gen with searge llm prompt enhance and controlnet upscalerSearge prompt enhance model This application allows you to enhance and upscale images up to x10 in resolution. Image_Face_Upscale_Restoration-GFPGAN_pub. Apr 14, 2024 · 18:29 The model works with literally every resolution and example very big upscale. Get both input and output images as a result. Controlnet - v1. All the models in this repository is under MIT License. Instead of attempting a large upscale, we perform multiple smaller upscales (typically 2x each). TOS Upscale low-resolution images to high resolution. g. However, applying these models to video super-resolution remains challenging due to the high demands for output fidelity and temporal consistency, which is complicated by the inherent randomness in diffusion m [CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution - sczhou/Upscale-A-Video Discover amazing ML apps made by the community. Discover amazing ML apps made by the community A website (built with Flask) that upscales given images using Hugging Face transformer models - EgeEken/Image-Upscaler Note: This upscaling model is designed explicitely for Stable Diffusion as it can upscale Stable Diffusion's latent denoised image embeddings. py and main_test_swinir. Ultimate SD Upscale (No Upscale) Same as the primary node, but without the upscale inputs and assumes that the input image is already upscaled. Test base image (512x512): Test steps: Split image into tiles with size of 512x512, each tile overlaps with others by N pixels, where N is a parameters. bfloat16). Example is here. Downloads last month-Downloads are not tracked for this model. Jun 3, 2024 · The process of performing Super-Resolution using GANs involves using the Generator to simply upscale the image with Transpose Convolutions or by using any network that produces an upscaled version, compared to the original input. Such an approach would drastically cut waiting/processing time. Stable Diffusion x4 ONNX This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. The model has been trained to upscale low-resolution images to higher resolution using convolutional neural networks. jasperai Oct 9, 2024. 2024 Purpose: 4x upscaler for photos downloaded from the web Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. float16 or torch. Image Upscaler with Tile Controlnet Fully Integrated in Huggingface Diffusers Topics super-resolution upscaling high-definition upscaler diffusion-models diffusers Mar 13, 2023 · Try the various models on your images instantly. How to Upscale Images using Stable Diffusion in Python Learn how to use stable diffusion 4x upscaler to upscale your low-resolution images into high quality images with Huggingface transformers and diffusers libraries in Python. Resemble Enhance is an AI-powered tool that aims to improve the overall quality of speech by performing denoising and enhancement. md upscale-8k. Image Upscaler. 0 Author: Philip Hofmann Network: ATD Scale: 4 Release Date: 22. ) Dec 31, 2024 · 文章浏览阅读2. Dataset card Files Files and versions Community main Upscale. like 163. Flux. How to use This model can be used directly with the diffusers library Notebook to use the super-image library to quickly upscale and image. 06640 • Published Dec 11, 2023 • 48 Upvote ⚡ Flux. Image Upscaler with Tile Controlnet Fully Integrated in Huggingface Diffusers Topics. By default the models were pretrained on DIV2K, a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900). md We’re on a journey to advance and democratize artificial intelligence through open source and open science. This model inherits from DiffusionPipeline. Stable Diffusion x4 upscaler model card This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. Fetching metadata from the HF Docker repository Upload an image and choose an upscaling model to improve its resolution and quality. Pipeline for text-guided image super-resolution using Stable Diffusion 2. To get started, you need to create a Hugging face endpoint which is using one of these models: 4xRealWebPhoto_v3_atd Name: 4xRealWebPhoto_v3_atd License: CC BY 4. Enhance Your Images - a ysharma Collection Discover amazing ML apps made by the community For the best speedups, we recommend loading the model in half-precision (e. ) FLUX. The AI community building the future. Running on Zero. Upload an image and choose the scaling factor to get a clearer, sharper output. Aug 7, 2023 · Hi community, I’m probably doing something really wrong, but, I’m trying to create an anime image using dreamlike/anime. download Copy download link. Kizi-Art Upload 4x-UltraSharp. , 4kHz to 8kHz). , 4x or 8x). , music, speech) and specific bandwidth settings they can handle (e. Learn how to use stable diffusion 4x upscaler to upscale your low-resolution images into high quality images with Huggingface transformers and diffusers libraries in Python. /results', # output directory num_train_epochs= 1000, # total number of training epochs) config = PanConfig( scale= 4, # train a model to upscale 4x bam= True, # apply balanced attention to the network) model = PanModel To practically upscale any large-size image with this program, you need to dissect the low_res_img into an array of 128x128 tiles and upscale them individually with the StableDiffusionUpscalePipeline. App Files Files. The model was originally released in Latent Diffusion repo. Build error comfyui / upscale_models / 4x_foolhardy_Remacri. pth. d125a3b verified 7 months ago. You can also post some pictures if you want them upscaled, I can upscale for you and upload to Thanks a lot for authors making this great upscaler available opn-source, ALL CREDITS GO TO THEM! Happy Upscaling! Jul 30, 2024 · AuraSR-v2 GAN-based Super-Resolution for upscaling generated images, a variation of the GigaGAN paper for image-conditioned upscaling. You provide a text prompt and choose an upscale factor and provider. 1-dev architecture. 0; Instructions Dec 11, 2023 · Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution Paper • 2312. Pre-trained models are available at various scales and hosted at the awesome huggingface_hub. I didn't create this upscaler, I simply downloaded it from a random link on reddit and uploaded here as I couldn't find it anywhere else. 6k次，点赞10次，收藏8次。今天给大家介绍一个Flux下效果非常好的高清放大工作流，这个是基于Controlent的，效果相当不错，值得推荐。 [CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution - Upscale-A-Video/README. The Stable Diffusion upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION. openmodeldb Dec 20, 2023 · Hey guys, I am looking for a method to up-scale an image and have implemented some codes. sczhou / CodeFormer. I’m getting a low res image first to evaluate if it is ok, and then I need to upscale it. 6b4b436 about This colab notebook shows how to use the Latent Diffusion image super-resolution model using 🧨 diffusers libray. bqlm oob zna edqs nqov gysrhp jrkh qhhcgph mdqb vkey