CoolFace
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hunyuan

Viglong /Hunyuan3D-FLUX-Gen Orient Anything V2 Dataset Project Page | Paper | GitHub Orient Anything V2 is an enhanced foundation model for unified understanding of object 3D orientation and rotation from single or paired images. This dataset repository supports the model by providing assets for orientation estimation, 6DoF pose estimation, and object symmetry recognition. Data Preparation You can download the absolute orientation, relative rotation, and symm-orientation test datasets using the… See the full description on the dataset page: https://huggingface.co/datasets/Viglong/Hunyuan3D-FLUX-Gen.textother100K<n<1M2 likes1.4k downloads9mo agoHugging FaceFastVideo /HD-Mixkit-Finetune-Hunyuan2 likes989 downloads2y agoHugging Facetrojblue /test-HunyuanVideo-pixelart-videos trojblue/test-HunyuanVideo-pixelart-images 👋 Heads up—this repository is just a PARTIAL dataset. For the full pixelart-images dataset, make sure to grab both parts: Images Part Video Part (this repo) What's in the Dataset? This dataset is all about anime-styled pixel art images that have been carefully selected to make your models shine. Here’s what makes these images special: Rich in detail: Pixelated, yes—but still full of life and not overly simplified.… See the full description on the dataset page: https://huggingface.co/datasets/trojblue/test-HunyuanVideo-pixelart-videos.tabulartext-to-imagen<1K8 likes473 downloads2y agoHugging Facexingzhaohu /hunyuan1.5_training中文文档 HunyuanVideo-1.5 🎬 HunyuanVideo-1.5: A leading lightweight video generation model HunyuanVideo-1.5 is a video generation model that delivers top-tier quality with only 8.3B parameters, significantly lowering the barrier to usage. It runs smoothly on consumer-grade GPUs, making it accessible for every developer and creator. This repository provides the implementation and tools needed to generate creative videos. 👏… See the full description on the dataset page: https://huggingface.co/datasets/xingzhaohu/hunyuan1.5_training.videon<1K1 likes414 downloads7mo agoHugging FaceRapidata /HunyuanImage-2.1_t2i_human_preference Rapidata Hunyuan Image 2.1 Preference This T2I dataset contains over ~400'000 human responses from over ~50'000 individual annotators, collected in less than 7h using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation. Evaluating Hunyuan Image 2.1 (version from 19.9.2025) across three categories: preference, coherence, and alignment. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/HunyuanImage-2.1_t2i_human_preference.imagetext-to-image10K<n<100K9 likes379 downloads1y agoHugging Facewchen99998 /american-residential-housing-hunyuan3d-glb American Building Hunyuan3D GLB Assets This dataset contains 40 generated American building assets: 10 residential buildings 15 office buildings 15 industrial buildings Each asset includes: source_images/*.png: isolated building reference image on a white background. glbs/*.glb: final textured GLB generated with Hunyuan3D-2.1. metadata/*.json: per-asset generation parameters and timings. verification_summary.json: automated validation summary for all final GLBs.… See the full description on the dataset page: https://huggingface.co/datasets/wchen99998/american-residential-housing-hunyuan3d-glb.3dimage-to-3dn<1K1 likes328 downloads4mo agoHugging Face