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.zimageapp-release
ZImageApp macOS installers
Public installer mirror for ZImageApp. Application source code is not included.
Download the latest Apple Silicon DMG
Latest version metadata
Website
The app and installer are signed with Developer ID, notarized by Apple, and include stapled notarization tickets. Requires Apple Silicon and macOS 15 or later. Model weights are downloaded separately and retain their respective licenses.
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.HQ-Z-Image-200KPrince_Xiang_Z_Image_Turbo_glasses_Images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Glasses Grid Image
Xiang_Z_Image_Turbo_different_style_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang different style Grid Image
Xiang_Z_Image_Turbo_HairCut_ZH_Repose_Captioned
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
z-image-turbo-genz-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.Z-Image-Turbo-Male-Model-ImagesXiang_POV_Touch_Z_Image_Turbo_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang POV Touch Grid Image
Prince_Xiang_Z_Image_Turbo_slim_images
Use lora from https://huggingface.co/svjack/Prince_Xiang_Z_Image_Turbo_Lora
Xiang Slim 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
z-image-training-datasetHQ-Z-Image-200KQFabric_mt_images_1024Xiang_Z_Image_Turbo_Tease_Images
Use lora from https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora
Xiang Tease Grid Image
ZImageTurboGen-unify-styleZIMAGE-Outputs-20260509-133202-OG3FLtarot-newest-z-imageXiang_Z_Image_Turbo_HairCut_ZH_Captioned
zimage_aas_2.0_resZIMAGE-Outputs-20260507-100643-JUTT7diffusiondb-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.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
sarah_pruned_zimageproject-z-original-images
