Huggingface upscale. All the models in this repository is under MIT License.

Huggingface upscale pth. Update the RealESRGAN AnimeVideo-v3 model. 1 fork. ; Competitive prompt following, matching the performance of closed source alternatives . Safe. AutoTrain Compatible. Stable Diffusion x4 upscaler model card This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. 1. This model was trained from the original weights with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution. 0 license Activity. Skip to content. stable-diffusion-latent-upscaler huggingface-projects / diffuse-the-rest. pipelines import FluxControlNetPipeline: from gradio_imageslider import ImageSlider: from PIL import Image: from huggingface_hub import snapshot_download: css = """ #col Stable Diffusion x4 upscaler model card This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. Discussion Fefe25. , ImageUpscaleWithModel -> ImageScale -> Super-Resolution StableDiffusionUpscalePipeline The upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION, as part of Stable Diffusion 2. text-embeddings-inference. custom_code. You can deploy This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet. The Stable Diffusion upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION. Image-Upscaling-Playground. . Model Details Model Name: Kvi-Upscale; Author: KviAI; License: Creative Commons Attribution 4. Eval Results. like 626 Discover amazing ML apps made by the community Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution Paper • 2312. example outputs (courtesy of dotsimulate). This multi-stage process allows the model to focus on details at each stage without losing sight of the overall structure. Running 101. ☕️ Quick Inference. Running App Files Files Community Refreshing. 27 kB. How to track . Key Features Cutting-edge output quality, second only to our state-of-the-art model FLUX. Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from cocobeanie Duplicated from Fabrice-TIERCELIN/Image-to-Image Fabrice-TIERCELIN / SUPIR The training code is at KAIR. 1 contributor; History: 5 commits. 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. Example is here. ; Add RealESRGAN_x4plus_anime_6B. Text Generation • Updated Apr 12 • 3 nlightcho/stable-diffusion-x4-upscaler. This model can upscale 256x256 image to 1024x1024 within around 20[ms] on GPU and around 250[ms] on CPU. Running on Zero. Works fully offline: will never download anything. 7 KB. like 45 upscale_demo. App Files Files Community . 1-Pro is an advanced image generation model based on the FLUX. 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. utils import load_image from diffusers import FluxControlNetModel from diffusers. Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from steef68 when generating images. Instead of attempting a large upscale, we perform multiple smaller upscales (typically 2x each). 1-dev-Controlnet-Upscaler Pre-trained models are available at various scales and hosted at the awesome huggingface_hub. 🔥. 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. py and main_test_swinir. Use it with 🧨 diffusers; Model Details Developed by: Katherine Crowson Model type: Diffusion-based latent upscaler Language(s): English License: CreativeML Open RAIL++-M License Examples Using the 🤗's Diffusers library to run latent :boom: Updated online demo: . Sep 29, 2022. I made a full 33-minute tutorial, fully chaptered with manually written captions. py is enough. 1. cache\huggingface Notebook to use the super-image library to quickly upscale and image. ; Add the ncnn implementation Real-ESRGAN-ncnn-vulkan. Flux. 2. :boom: Updated online demo: Colab Demo for GFPGAN ; (Another Colab Demo for the original paper model):rocket: Thanks for your interest in our work. com) image 1872×932 99. For more technical details, please refer to the Research paper. with a proper workflow, it can provide a good result for high detailed, high resolution Details about most of the parameters can be found here. All the models in this repository is under MIT License. This model can upscale 256x256 image to 1024x1024 within around 30[ms] on GPU and around 300[ms] on CPU. 1-dev ControlNet for low resolution images developed by Jasper research team. 6b4b436 about 1 year ago. Discover amazing ML apps made by the community Use it with 🧨 diffusers; Model Details Developed by: Katherine Crowson Model type: Diffusion-based latent upscaler Language(s): English License: CreativeML Open RAIL++-M License Examples Using the 🤗's Diffusers library to run latent upscaler on top of any StableDiffusionUpscalePipeline checkpoint to enhance its output image resolution by a factor Tile Upscaler V2. Reimagina pequeños detalles. Parameters not found in the original repository: upscale_by The number to multiply the width and height of the image by. 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. Following commands will download pretrained models automatically and put them in We’re on a journey to advance and democratize artificial intelligence through open source and open science. 4-bit precision. The chapter's info is posted at the very bottom. Nymbo Oct 6. Running on A10G Discover amazing ML apps made by the community. 1-dev: Upscaler ControlNet ⚡ This is Flux. The model was trained on crops of size 512x512 and is a text-guided latent upscaling diffusion model. Hi, Do you have any ideas how we could upgrade the scale / quality / resolution of the produced images ? Thanks ! Amati. 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. Running App Files Files Community 496 Upgrade / upscale images #189. This model shows better results on faces compared to the original version. SUPIR manages to remain faithful to the original image almost 100% while adding details and achieving super upscaling with the best realism. g. Build error Accessing Real-ESRGAN on HuggingFace. Discover amazing ML apps made by the community. Image Upscaler Phips Oct 11. like 1. Hunyuan-Large-Instruct achieves consistent improvements on most types of tasks compared to LLMs having similar activated parameters, indicating the effectiveness of our post-training. VideoMAE extends Stable Diffusion x4 ONNX This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. image-upscaler. Flux_Upscaled. Please see anime video models and comparisons for more details. like 1k SUPIR also significantly outperforms Topaz AI upscale. The original codebase can be found here: Try our free online image upscaler tool, capable of upscaling images by 400% and up to 16000x16000 resolution. 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. Updated Feb 14, 2022 • 1 seesat/UPscale. 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). Image. gitattributes. AI_Resolution_Upscaler_And_Resizer clarity-upscaler. Pre-trained models are available at various scales and hosted at the awesome Image_Face_Upscale_Restoration-GFPGAN. Image, np. ; image (PIL. Image Upscaler with Tile Controlnet Fully Integrated in Huggingface Diffusers Topics super-resolution upscaling high-definition upscaler diffusion-models diffusers HuggingFace cache is here (replace username): (at least mine that is) c:\Users\<USERNAME>\. ndarray]) — Image or tensor representing an image batch to be upscaled. pcuenq/k-upscaler. Text-to-Image • Updated Mar 5, 2023 • 1 • 4 rishi255/upscaler. Torch implementation is based on the unofficial lucidrains/gigagan-pytorch repository. like 369 Upscale Models (ESRGAN, ESRGAN variants, SwinIR, Swin2SR, etc) unCLIP Models; GLIGEN; Model Merging; Latent previews with TAESD; Starts up very fast. It is original trained for my personal realistic model project used for Ultimate upscale process to boost the picture details. Here is the backup. How to use This model can be used directly with the diffusers library. FloatTensor) — Image, or tensor representing an image batch which will be upscaled. like 901. Stars. Here is how to use a pre-trained model to upscale your image: from super_image import MsrnModel, We need the huggingface datasets library to download the data: pip install datasets The following code gets the data and preprocesses/augments the data. 06640 • Published Dec 11, 2023 • 46 Upvote Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from rumatoest Upscale an image by 4x using FLUX. Discover amazing ML apps made by the community. The leaderboard below shows the PSNR / [CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution - sczhou/Upscale-A-Video. Watchers. Image or ListPIL. If you just want codes, downloading models/network_swinir. 1-Pro Overview FLUX. ndarray]) — Image or tensor representing an We’re on a journey to advance and democratize artificial intelligence through open source and open science. be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with use of this model. This framework ensures temporal coherence through two key mechanisms: locally, it integrates temporal layers into U-Net and VAE-Decoder, maintaining consistency within short sequences; globally, without training, a flow-guided recurrent latent Lambent/danube2-upscale-1. Inference API We’re on a journey to advance and democratize artificial intelligence through open source and open science. Readme License. A1111 <> Diffusers Scheduler mapping · Issue #4167 · huggingface/diffusers (github. Upscale. 1 watching. ndarray, List[torch. 4x_foolhardy_Remacri is now available in the Extras tab and for the SD Upscale script. Stable Diffusion Latent Upscaler huggingface-projects Apr 8. Tensor], List[PIL. there is hi-res fix option. You may also want to Discover amazing ML apps made by the community The model has been trained to upscale low-resolution images to higher resolution using convolutional neural networks. 10 stars. The model was Discover amazing ML apps made by the community. Testing (without preparing datasets) For your convience, we provide some example datasets (~20Mb) in /testsets. Updated May 5, 2023 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. More details are in anime video models. 0; Instructions To use this model for upscaling, please follow the instructions in the accompanying Python script. 24. Downloads last month Discover amazing ML apps made by the community. Mantiene las proporciones correctas, a diferencia de Tile Upscaler Image Upscaler with Tile Controlnet Fully Integrated in Huggingface Diffusers Topics. The original codebase can be found here: 🚀 Get started with your gradio Space!. Your new space has been created, follow these steps to get started (or read the full documentation) We’re on a journey to advance and democratize artificial intelligence through open source and open science. 25M steps on a 10M subset of LAION containing images >2048x2048. . The VideoMAE model was proposed in VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training by Zhan Tong, Yibing Song, Jue Wang, Limin Wang. Report repository Languages. Forks. pipelines import FluxControlNetPipeline # Load pipeline $ pip install roboflow diffusers accelerate huggingface_hub peft transformers datasets safetensors scipy bitsandbytes xformers -qqq. Please note: this model is released Here is how to use a pre-trained model to upscale your image: from super_image import MsrnModel, We need the huggingface datasets library to download the data: pip install datasets The following code gets the data and preprocesses/augments the data. If it’s a tensor, it can be either a latent output from a Stable Diffusion model or an image tensor in the range [-1, 1]. Discover amazing ML apps made by the community Discover amazing ML apps made by the community. Fix deprecated float16/fp16 variant loading through new `version` API. Real-ESRGAN PyTorch implementation of a Real-ESRGAN model trained on custom dataset. 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. ; Add small models for anime videos. If you want to specify an exact width and height, use the "No Upscale" version of the node and perform the upscaling separately (e. StableDiffusionUpscalePipeline can be used to enhance the resolution of input images by a factor of 4. Parameters . Shortcuts AuraSR-v2 GAN-based Super-Resolution for upscaling generated images, a variation of the GigaGAN paper for image-conditioned upscaling. by Fefe25 - opened Sep 29, 2022. As the Clarity pipeline does, we employ a multi-stage upscaling process for significant enlargements (e. This is super resolution model for anime like illustration that can upscale image 4x. like 0. Face-Real-ESRGAN. Kizi-Art Upload 3 files. Such an approach would drastically cut waiting/processing time. Running on CPU Upgrade In this tutorial video, I introduce SUPIR (Scaling-UP Image Restoration), a state-of-the-art image enhancing and upscaling model presented in the paper "Scaling Up to Excellence: Practicing Model Scaling for Photo Super-resolution. Updated Jul 1, 2022. Detected Pickle imports (3) We’re on a journey to advance and democratize artificial intelligence through open source and open science. philz1337x September 9, 2024, 9:57am 8. Mixture of Experts. Navigation Menu (Optional) LLaVA can be downloaded automatically when set --use_llava to True, for users with access to huggingface. pickle. like 110 VideoMAE Overview. Apply filters Models. Clarity AI Upscaler Reproduction. Config file to set the search paths for models. import torch from diffusers. 1 [pro]. 06640 • Published Dec 11, 2023 • 46 Upvote video_upscale. 8-bit precision. Supports JPG, PNG, WEBP, and JPEG formats. Tile-Upscaler. This model is trained for 1. Model card Files Files and versions Community 2 No model card. You put initial res 512x512 and use hires fit to upscale. As this is a HuggingFace provides pre-trained models, fine-tuning scripts, and development APIs that make the process of creating and discovering LLMs easier. zeroscope_v2 XL A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576. like 449 Diffusers' Ethical Guidelines Evaluating Diffusion Models. Misc with no match Inference Endpoints. zeroscope_v2_XL is specifically designed for upscaling content This step can be repeated by the user with another selection without reupload. Note Excelente para imágenes de tipo cartoon. super-resolution upscaling high-definition upscaler diffusion-models diffusers Resources. Deployment options for Hugging Face models. finegrain-image-enhancer. Enlarge your images without compromising quality. Usage. The technique used is applying a pre-trained deep-learning model to restore a high resolution (HR) image from a single Quickly utilise pre-trained models for upscaling your images 2x, 3x and 4x. 25M steps on a 10M subset of LAION containing images in no event shall black forest labs, inc. Delving into the model performance in different categories of benchmarks, we find that our instruct model achieves the best performance on MMLU and MATH dataset. ; image (torch. New: Create and edit this model card directly on the website! Contribute a Model Card Downloads last month-Downloads are not tracked for this model. Sep 29, 2022 upscale-8k. Our study introduces Upscale-A-Video, a text-guided latent diffusion framework for video upscaling. device): torch device; num_images_per_prompt (int) — number of images that should be generated per prompt; do_classifier_free_guidance (bool) — whether to use classifier free guidance or not; negative_prompt (str or List[str], optional) — The prompt or prompts not to guide the image We’re on a journey to advance and democratize artificial intelligence through open source and open science. initial commit over 1 year ago; 4x-AnimeSharp. Workflow examples can be found on the Examples page. text-generation-inference. FLUX. 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 Discover amazing ML apps made by the community. Spaces. (#21) over 1 year ago vae Parameters . 0. I would try to upscale using im2img with a Super-Resolution StableDiffusionUpscalePipeline The upscaler diffusion model was created by the researchers and engineers from CompVis, Stability AI, and LAION, as part of Stable Diffusion 2. like 442. Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution Paper • 2312. Apache-2. This is super resolution model to upscale anime like illustration image by 4x. co [ ] Notebook to use the super-image library to quickly upscale and image. Refreshing Parameters . Merge. 1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. See the full list of models below. 176. prompt (str or List[str]) — The prompt or prompts to guide image upscaling. prompt (str or List[str], optional) — prompt to be encoded device — (torch. Running . device): torch device; num_images_per_prompt (int) — number of images that should be generated per prompt; do_classifier_free_guidance (bool) — whether to use classifier free guidance or not; negative_prompt (str or List[str], optional) — The prompt or prompts not to guide the image 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. ⚡ Flux. pth, which is optimized for anime images with much smaller Github | All Models @ huggingface. Unlike Gigapixels and so on it is not just uspacles - it re renders image adding new details. , 4x or 8x). like 98. We’re on a journey to advance and democratize artificial intelligence through open source and open science. like 16. 1 Like. Carbon Emissions. Image or torch. Tensor, PIL. It is used to enhance the resolution of input images by a factor of 4. 1-dev architecture. If it’s a tensor, it can be either a latent output from a stable diffusion model, or an image tensor in the range [-1, 1]. This is also called image super resolution. prompt (str or List[str]) — The prompt or prompts to guide the image upscaling. In addition to the textual input, it receives Use it with 🧨 diffusers; Model Details Developed by: Katherine Crowson Model type: Diffusion-based latent upscaler Language(s): English License: CreativeML Open RAIL++-M License Examples Using the 🤗's Diffusers library to run latent upscaler on top of any StableDiffusionUpscalePipeline checkpoint to enhance its output image resolution by a factor upscale. Phips / upscale_demo. Model Garden can serve Text Embedding Inference, Regular Pytorch Inference, and Text Generation Inference supported models in HuggingFace. Image], or List[np. py, utils/util_calculate_psnr_ssim. Dataset card Files Files and versions Community main Upscale. For more information, please read our blog post. kjwyqf xvunam ebtxefl lgxwq oynia ynce tuyi ifldthp daergj tuq