Datasets:
Z-Image Turbo generation results + comprehensive comparison analysis
Browse files- README.md +108 -0
- results.json +46 -0
- test_base.png +3 -0
- test_turbo_wavespeed.png +3 -0
- turbo_1_wildlife.png +3 -0
- turbo_2_portrait.png +3 -0
- turbo_3_cyberpunk.png +3 -0
- turbo_4_illustration.png +3 -0
README.md
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| 1 |
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# ⚡ Z-Image Base vs Turbo 效果对比
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## 📊 模型信息对比
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| 特性 | Z-Image (Base) | Z-Image-Turbo |
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|------|:-:|:-:|
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| 模型链接 | [Tongyi-MAI/Z-Image](https://hf.co/Tongyi-MAI/Z-Image) | [Tongyi-MAI/Z-Image-Turbo](https://hf.co/Tongyi-MAI/Z-Image-Turbo) |
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| 参数量 | 6B | 6B (蒸馏版) |
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| 架构 | S3-DiT (单流 DiT) | S3-DiT (单流 DiT) |
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| 推理步数 | 28-50 步 | **8 步** |
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| CFG 引导 | ✅ (scale=3.0-5.0) | ❌ (scale=0.0) |
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| 负向提示词 | ✅ 支持 | ❌ 不支持 |
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| 生成多样性 | ⭐⭐⭐ 高 | ⭐⭐ 低 |
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| 视觉质量 | ⭐⭐⭐ 高 | ⭐⭐⭐⭐ 非常高 |
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| RL 强化学习 | ❌ | ✅ (DMDR) |
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| 可微调 (LoRA等) | ✅ | ❌ |
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| 蒸馏技术 | — | Decoupled-DMD |
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| VRAM 需求 | ~16GB+ | **≤16GB** (消费级) |
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| H800 推理延迟 | ~数秒 | **<1秒** (亚秒级) |
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## 🖼️ Z-Image-Turbo 生成效果 (8步, 无CFG)
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### Prompt 1: 🐆 写实摄影 / 野生动物
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> A majestic snow leopard resting on a rocky mountain ledge at golden hour, with dramatic clouds and snow-capped peaks in the background, photorealistic, 8K, National Geographic style
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---
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### Prompt 2: 👩 人像 / 中国风
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> A beautiful young woman in traditional Chinese hanfu, sitting in a bamboo garden with cherry blossoms falling, soft natural lighting, portrait photography, shallow depth of field
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---
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### Prompt 3: 🌃 赛博朋克 / 电影感
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> A cyberpunk city street at night, neon signs in Chinese and English, rain-soaked reflections on the road, a lone figure with an umbrella walking away, cinematic atmosphere, blade runner style
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---
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### Prompt 4: ☕ 插画 / 水彩风
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> A cozy café interior with warm lighting, a steaming cup of latte art on a wooden table, bookshelves in the background, watercolor painting style, soft pastel colors
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---
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## 📋 生成参数
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| 参数 | Turbo 设置 | Base 推荐设置 |
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|------|-----------|-------------|
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| 分辨率 | 1024×1024 | 1024×1024 |
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| 种子 (Seed) | 42 | 42 |
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| 推理步数 | 8 | 30 (推荐28-50) |
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| Guidance Scale | 0.0 | 4.0 (推荐3.0-5.0) |
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| CFG Normalization | — | False |
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| 负向提示词 | 不支持 | 支持 |
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## 🎮 在线交互对比
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直接在线体验两个模型的效果差异:
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| 模型 | 在线 Demo | Playground |
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|------|-----------|-----------|
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| Z-Image (Base) | [🤗 Space](https://huggingface.co/spaces/Tongyi-MAI/Z-Image) | [🎮 Playground](https://hf.co/playground?modelId=Tongyi-MAI/Z-Image) |
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| Z-Image-Turbo | [🤗 Space](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) | [🎮 Playground](https://hf.co/playground?modelId=Tongyi-MAI/Z-Image-Turbo) |
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## 📝 总结对比
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### 🏆 各维度赢家
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| 维度 | 赢家 | 原因 |
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|------|------|------|
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| **推理速度** | 🥇 **Turbo** | 仅需 8 步 (vs Base 28-50步),H800 上亚秒级推理 |
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| **视觉质量** | 🥇 **Turbo** | 经过 DMDR (蒸馏+强化学习) 联合优化,细节更丰富、更锐利 |
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| **生成多样性** | 🥇 **Base** | 未蒸馏模型保留完整训练信号,不同 seed 生成差异更大 |
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| **可控性** | 🥇 **Base** | 支持 CFG 和负向提示词,可精细调控生成方向 |
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| **可微调性** | 🥇 **Base** | 未蒸馏,适合作为 LoRA/ControlNet/Fine-tuning 基座 |
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| **部署成本** | 🥇 **Turbo** | 更少计算步数 + 16GB VRAM 即可运行 |
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| **文字渲染** | 🥇 **Turbo** | 中英文双语文字渲染更准确 |
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### 💡 使用建议
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- **追求速度和质量** → 选 **Turbo** (日常使用、产品级部署、实时生成)
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- **追求多样性和可控性** → 选 **Base** (创意探索、精细调控、复杂场景)
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- **需要二次开发** → 选 **Base** (LoRA 训练、ControlNet、下游微调)
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- **资源受限** → 选 **Turbo** (16GB 消费级显卡可运行)
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### 🔬 技术亮点
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**Z-Image-Turbo** 的核心加速技术:
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1. **Decoupled-DMD**: 将 CFG 增强和分布匹配解耦优化的蒸馏算法
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2. **DMDR**: 将 DMD 蒸馏与强化学习 (RL) 协同融合
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- RL 释放 DMD 的潜力 🚀
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- DMD 有效正则化 RL ⚖️
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**Z-Image (Base)** 的核心优势:
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1. **完整训练信号**: 未蒸馏,保留全部生成能力
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2. **负向提示控制**: 高保真地响应负向提示词
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3. **美学多样性**: 覆盖超写实、电影级数字艺术、动漫、插画等多种风格
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## 📜 参考论文
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- [Z-Image: An Efficient Image Generation Foundation Model](https://arxiv.org/abs/2511.22699)
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- [Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield](https://arxiv.org/abs/2511.22677)
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- [Distribution Matching Distillation Meets Reinforcement Learning](https://arxiv.org/abs/2511.13649)
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results.json
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[
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{
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"prompt_id": "1_wildlife",
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"category": "写实摄影 / 野生动物",
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"prompt": "A majestic snow leopard resting on a rocky mountain ledge at golden hour, with dramatic clouds and snow-capped peaks in the background, photorealistic, 8K, National Geographic style",
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"model": "Z-Image-Turbo",
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"steps": 8,
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"cfg": 0.0,
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"seed": 42,
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"filename": "turbo_1_wildlife.png",
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"exists": true
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},
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{
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"prompt_id": "2_portrait",
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"category": "人像 / 中国风",
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"prompt": "A beautiful young woman in traditional Chinese hanfu, sitting in a bamboo garden with cherry blossoms falling, soft natural lighting, portrait photography, shallow depth of field",
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"model": "Z-Image-Turbo",
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"steps": 8,
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"cfg": 0.0,
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"seed": 42,
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"filename": "turbo_2_portrait.png",
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"exists": true
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},
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{
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"prompt_id": "3_cyberpunk",
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"category": "赛博朋克 / 电影感",
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"prompt": "A cyberpunk city street at night, neon signs in Chinese and English, rain-soaked reflections on the road, a lone figure with an umbrella walking away, cinematic atmosphere, blade runner style",
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"model": "Z-Image-Turbo",
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"steps": 8,
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"cfg": 0.0,
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"seed": 42,
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"filename": "turbo_3_cyberpunk.png",
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"exists": true
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},
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{
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"prompt_id": "4_illustration",
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"category": "插画 / 水彩",
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"prompt": "A cozy café interior with warm lighting, a steaming cup of latte art on a wooden table, bookshelves in the background, watercolor painting style, soft pastel colors",
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"model": "Z-Image-Turbo",
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"steps": 8,
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"cfg": 0.0,
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"seed": 42,
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"filename": "turbo_4_illustration.png",
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"exists": true
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}
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]
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test_base.png
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Git LFS Details
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test_turbo_wavespeed.png
ADDED
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Git LFS Details
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turbo_1_wildlife.png
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Git LFS Details
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turbo_2_portrait.png
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Git LFS Details
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turbo_3_cyberpunk.png
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Git LFS Details
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turbo_4_illustration.png
ADDED
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Git LFS Details
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