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Z-Image Turbo - Aesthetic Realism
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Z-Image Turbo - Aesthetic Realism

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Attention ☞ Recommended parameters:

Sampler: Euler

Scheduler: simple

Note:

Steps: 9+

Online - Steps: 10+

CFG :1

Z-Image-Turbo-Aesthetic Realism-Asian Realism-FP8 is a model fine tuned based on Z-Image-Turbo-FP8, which is trained on Xiaohongshu and fused with Asian realism

🚀  Z-Image Turbo - a refined version of Z-Image, with only 8 NFEs (functional evaluation times) to match or surpass leading competitors. It is available on enterprise grade H800 GPU ⚡ second level inference delay ⚡ ️, and comfortably installed in 16GB video memory consumer devices. It excels in realistic image generation, bilingual text rendering (in English and Chinese), and strict teaching adherence.

Realistic image quality: Z-Image-Turbo provides powerful realistic image generation while maintaining excellent aesthetic quality.

Accurate bilingual text rendering: Z-Image-Turbo excels at accurately rendering complex Chinese English texts.

Hint Enhancement and Reasoning: Hint Enhancers endow models with reasoning abilities that go beyond surface descriptions and touch upon potential world knowledge.

Creative Image Editing: Z-Image Edit demonstrates a profound understanding of bilingual editing guidance, enabling imaginative and flexible image transformations.

Model Architecture

We adopt a scalable single stream DiT (S3 DiT) architecture. In this setting, text, visual semantic symbols, and image VAE symbols are concatenated at the sequence level as a unified input stream, maximizing parameter efficiency compared to the dual stream method.

Performance:

According to Elo based human preference assessment (AI), Z-Image-Turbo demonstrates high competitiveness compared to other leading models and has achieved state-of-the-art results in open-source models.

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2026-1-9- Update Log:

Optimized the texture of characters in the Z-Image-Turbo-Aesthetic Reality model

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ShiShu
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Mitteilung
2025-12-04
Modell veröffentlichen
2026-01-09
Modellinformationen aktualisieren
Modelldetails
Typ
Checkpoint
Veröffentlichungsdatum
2026-01-09
Basismodelle
Z Image Turbo
Model Parameters
clip_skip:1
Trainingsparameter
Epochs:1
Steps:0
Versionsvorstellung

2026-1-9- Update Log:

Optimized the texture of characters in the Z-Image-Turbo-Aesthetic Reality model

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