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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01Zehui127127 /latent-dna-diffusiontexttext-generation100K<n<1M3 likes211 downloads3y agoHugging Face02multimodalart /latent-majesty-diffusion-settingsA collection of default settings for the text-to-image model Latent Majesty Diffusion. If you love your settings, please add yours by going to the Files and versions tab and hitting upload. Also please add a description on what your settings excel (it's okay if they are general purpose too) 4 likes101 downloads4y agoHugging Face03deepsynthbody /synembryo_latentdiffusion SynEmbryo: Synthetic Embryo Images for Precise Stage Classification, Validated by Embryologists Paper GitHub Content This is a synthetic dataset of embryos at various developmental stages (2-cell, 4-cell, 8-cell, morula, blastocyst) generated using the Latent Diffusion Model. Folder Structure . ├── 2cell │ ├── 0.png │ ├── 1.png │ └── ... ├── 4cell │ ├── 0.png │ ├── 1.png │ └── ... ├── 8cell │ ├── 0.png │ ├── 1.png │ └── ... ├── morula │ ├── 0.png │ ├── 1.png… See the full description on the dataset page: https://huggingface.co/datasets/deepsynthbody/synembryo_latentdiffusion.image2 likes56 downloads2y agoHugging Face04Felixxinjin /blended_latent_diffusion_resultsimagen<1K1 likes48 downloads1y agoHugging Face05Sijuade /diffusion_latent_testtabularn<1K1 likes43 downloads3y agoHugging Face06keitcazu2000 /latent-diffusion-audio-checkpoints1 likes42 downloads3mo agoHugging Face07AluminiumOxide /personal_latent_diffusion12 likes37 downloads4y agoHugging Face08dylanintech /test-latent-diffusion-datasetThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.1 likes33 downloads3y agoHugging Face09HaawkeNeural /latent_diffusion2 likes31 downloads3y agoHugging Face10aoxo /latent_diffusion_super_samplinggated Dataset Card for Latent Diffusion Super Sampling Image datasets for building image/video upscaling networks. This repository contains implementation of training and inference code for models trained on the following works: Part 1: Trained Sub-Pixel Convolutional Network for Upscaling on 5000 individual 720p-4K and 1080p-4K image pairs References: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network, Shi et al… See the full description on the dataset page: https://huggingface.co/datasets/aoxo/latent_diffusion_super_sampling.imageimage-to-image100K<n<1M0 likes9 downloads3y agoHugging Face

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