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-turbo-genz-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.zimage-base-vs-turbo-comparison
⚡ Z-Image Base vs Turbo 效果对比
使用相同的 prompt 和 seed,对比 Z-Image (Base) 和 Z-Image-Turbo 的生成效果。
📊 模型信息对比
特性
Z-Image (Base)
Z-Image-Turbo
模型
Tongyi-MAI/Z-Image
Tongyi-MAI/Z-Image-Turbo
参数量
6B
6B (蒸馏版)
架构
S3-DiT (单流 DiT)
S3-DiT (单流 DiT)
推理步数
28-50 步
8 步
CFG 引导
✅ (scale=3.0-5.0)
❌ (scale=0.0)
负向提示词
✅ 支持
❌ 不支持
生成多样性
⭐⭐⭐ 高
⭐⭐ 低
视觉质量
⭐⭐⭐ 高
⭐⭐⭐⭐ 非常高
RL 强化学习
❌
✅ (DMDR)
可微调 (LoRA等)
✅
❌
VRAM 需求
~16GB+
≤16GB
🖼️ 并排对比
Prompt 1: 🐆… See the full description on the dataset page: https://huggingface.co/datasets/DealayLomoi/zimage-base-vs-turbo-comparison.z-image-training-datasetHQ-Z-Image-200Ktarot-newest-z-imagez-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.Xiang_Z_Image_Turbo_different_style_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang different style Grid Image
Prince_Xiang_Z_Image_Turbo_glasses_Images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Glasses Grid Image
Prince_Xiang_Z_Image_Turbo_tease_images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Tease Grid Image
Xiang_Z_Image_Turbo_HairCut_ZH_Repose_Captioned
z-image-sdxl-benchmark
Z-Image vs SDXL-Lightning Benchmark Dataset
Benchmark comparing Z-Image-Turbo (6B parameter multilingual diffusion model) against SDXL-Lightning (4-step distilled SDXL).
Key Results
Model
Latency
Memory
Languages
SDXL-Lightning
1.32s
9.6 GB
English
Z-Image-Turbo
16.51s
23.3 GB
9 languages
SDXL-Lightning is 12.5x faster, but Z-Image supports multilingual text rendering.
Dataset Contents
80 generated images (1024x1024)
50 quality benchmark… See the full description on the dataset page: https://huggingface.co/datasets/RyeCatcher/z-image-sdxl-benchmark.ZImageTurboGen-unify-styleQFabric_mt_images_1024Xiang_Furry_Z_Image_Turbo_2_bind_imagesXiang_POV_Touch_Z_Image_Turbo_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang POV Touch Grid Image
ZIMAGE-Outputs-20260509-133202-OG3FLZ-Image-Turbo-Male-Model-ImagesPrince_Xiang_Z_Image_Turbo_slim_images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Slim Grid Image
Xiang_Z_Image_Turbo_HairCut_ZH_Captioned
Prince_Xiang_white_brief_Z_Image_Turbo_tease_4_bind_images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Tease Grid Image
HQ-Z-Image-200Ksarah_pruned_zimageproject-z-original-imagesPrince_Xiang_Z_Image_Turbo_tease_4_bind_images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Tease Grid Image
diffusiondb-z-image-comparison
DiffusionDB × Z-Image-Turbo prompt-enhancement comparison
100 samples comparing image generation under three conditions:
Column
Description
original_prompt
A prompt drawn from DiffusionDB (2M subset).
enhanced_prompt
The same prompt rewritten by Qwen3-Max into a richer, more descriptive form.
image_diffusiondb
The original DiffusionDB image (Stable Diffusion v1.x, 512×512 PNG).
image_z_original
Z-Image-Turbo rendering of original_prompt at 1024×1024.… See the full description on the dataset page: https://huggingface.co/datasets/XinyuLiu1999/diffusiondb-z-image-comparison.Xiang_Z_Image_Turbo_Tease_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang Tease Grid Image
Prince_Xiang_Z_Image_Turbo_different_style_Images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang different style Grid Image
zimage_aas_2.0_res
