datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ZImageTurboGen
Z-Image-Turbo Synthetic Dataset (3000 Image Pairs)
Dataset Preview
Overview
This dataset contains 3,000 synthetically generated image-text pairs created using Tongyi-MAI/Z-Image-Turbo (v1.0). Each entry consists of:
A high-resolution image (zimage_{idx}.webp)
A corresponding text prompt file (zimage_{idx}.txt)
Designed specifically for advanced diffusion model research, this dataset enables:
Model de-distillation (reversing knowledge distillation effects)… See the full description on the dataset page: https://huggingface.co/datasets/lrzjason/ZImageTurboGen.z-image-ethnicity-test
Z-Image Turbo Ethnicity Benchmarking Dataset
Overview
This dataset was created to evaluate and test the Z-Image Turbo model's capabilities in accurately rendering various ethnicities. It comprises photorealistic portrait prompts designed to cover a diverse range of ethnic groups and demographic attributes.
Generation Methodology
The prompts in this dataset were synthetically generated using the Mistral-Small-3.2-24B-Instructmodel. The… See the full description on the dataset page: https://huggingface.co/datasets/k-mktr/z-image-ethnicity-test.z-image-examples
Z-Image Turbo Portrait Dataset
This dataset contains 126 portrait prompts and their corresponding image outputs, demonstrating the capabilities of the Z-Image Turbo text-to-image model.
Model Information
Model Name: Z-Image Turbo
Hugging Face Repository: Tongyi-MAI/Z-Image-Turbo
Dataset Contents
prompts.jsonl: A JSONL file containing the 126 text prompts used for generation. Each entry includes a unique ID and the prompt text.
outputs/: Directory containing… See the full description on the dataset page: https://huggingface.co/datasets/k-mktr/z-image-examples.ZImage-Turbo-200k-multires-aspectbucketed
ZImage-Turbo WebDataset
Generated images from the ZImage-Turbo model using DiffusionDB prompts.
Generation Details
Hardware: 8x NVIDIA RTX 3090 GPUs
Generation Time: ~2 days
Estimated Cost: ~$70 (cloud compute)
Dataset Statistics
Total Samples: 211,081
Total Shards: 216
Samples per Shard: ~1000
Shard Naming Convention
Tarballs are named: {base_resolution}-{aspect_ratio}-{shard_num:04d}-of-{total_shards:04d}.tar
For example:… See the full description on the dataset page: https://huggingface.co/datasets/RareConcepts/ZImage-Turbo-200k-multires-aspectbucketed.z-image-turbo-genz-image-training-datasetzimage-te-cachezimage-R
zimage-R
Prebuilt NF4 artifact of the Z-Image-Turbo transformer for the
diffuseR R package.
Built with diffuseR::flux_quantize(format = "nf4") from
Tongyi-MAI/Z-Image-Turbo
(Apache-2.0): NF4-packed uint8 weights with float32 absmax blocks,
bfloat16 residents, sharded under 2 GB so the CRAN release of the
safetensors R package reads it.
Fetched automatically by diffuseR::download_zimage_turbo() when the
resolved precision is nf4. The text encoder, VAE, and tokenizer come
from the… See the full description on the dataset page: https://huggingface.co/datasets/cornball-ai/zimage-R.ZImageTurboGen-unify-stylez-imagemodels-zimageqwen-prod2zimage_aas_2.0_res