DealayLomoi/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… See the full description on the dataset page: https://huggingface.co/datasets/DealayLomoi/zimage-base-vs-turbo-comparison.
| Author / organization | DealayLomoi |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 203 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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- 16 Oct 2026 Description: ⚡ 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 → ⚡ 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
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