Chinese text poster
Accurate bilingual headlines, signage, and campaign layouts.
Z-Image is a lightweight image generation tool featuring an efficient 8-Step inference architecture. It delivers fast, high-quality AI image generation on consumer-grade GPUs while significantly reducing computational costs.
Start simple, then open precise controls only when you need them.
Preview a look. Presets are free; only generation uses credits.
Purpose-built starting points for common creative goals.
Accurate bilingual headlines, signage, and campaign layouts.
Clean e-commerce sets and premium studio campaigns.
Art-directed portraits with camera, light, and composition control.
Platform-ready vertical creative with clear type hierarchy.
Every saved image carries its prompt, dimensions, seed, credit cost, and parent reference into the next step.
Build the first direction
Use it as a reference
Control how much changes
Adapt the composition
Export without charge
Simple and advanced generation with visual style presets.
1 credit
Enhance, refine, restyle, or reimagine a private source.
1 credit
Add realism, camera, lighting, composition, and exact text.
Free
Continue from a result and preserve its lineage.
1 credit
Transparent PNG output for products and assets.
1 credit
Guide pose, depth, or edges from a reference.
3 credits
Filling the gap between lightweight and massive models, Z-Image-Turbo finds the perfect balance between speed, quality, and usability.
Powered by Qwen 3.4B LLM. No more garbled Chinese characters. Calligraphy, signage, and complex typography are rendered precisely.
Radical architectural innovation. Text and image tokens are processed consistently, similar to GPT-4, utilizing every parameter for both generation and understanding.
True open-source freedom. Unlike Flux.1's commercial restrictions, you are free to use it commercially, modify, and integrate. Ideal for startups and game studios.
Traditional models use a "dual-stream" architecture. Z-Image-Turbo adopts Scalable Single-Stream Diffusion Transformer (S3-DiT).
We provide the optimal solution balancing performance, cost, and ecosystem.
| Metric | Z-Image-Turbo | Flux.1 (Dev) | SDXL Base |
|---|---|---|---|
| Parameters | 6B (Balanced) | 12B (Massive) | 2.6B |
| VRAM Req | 12GB (Native BF16) | 24GB+ (or Quant) | 8GB |
| Steps | 8 Steps (Distilled) | 20-50 Steps | 20-50 Steps |
| Text Encoder | Qwen 3.4B (Bilingual) | T5 + CLIP | OpenCLIP |
| Typography | ⭐️⭐️⭐️⭐️⭐️ Perfect | ⭐️⭐️ Poor | ⭐️ Garbled |
| License | Apache 2.0 | Non-Commercial | OpenRAIL++ |
| Cost/Img | From $0.005 (API) | High | Low |
Thanks to the 6B parameter scale and 8-step distillation, Z-Image-Turbo achieves 2-3s generation on RTX 3090/4090. For enterprise H800s, sub-second response is reality.
# Quick load with Diffusers
from diffusers import DiffusionPipeline
import torch
# Load 8-Step Turbo Model
pipe = DiffusionPipeline.from_pretrained(
"Tongyi-MAI/Z-Image-Turbo",
torch_dtype=torch.bfloat16
).to("cuda")
# Generate Image
image = pipe(
prompt="Cyberpunk detective, rainy night, neon lights, Chinese sign saying "Tongyi Lab"",
num_inference_steps=8,
guidance_scale=1.0 # Distilled models don't need high CFG
).images[0]
Questions about deployment, usage, and licensing.
For native precision (BF16), 16GB VRAM (RTX 4080/3090) is recommended. With GGUF/NF4 quantization, 8GB VRAM cards (RTX 3060) run smoothly with minimal quality loss.
Yes. Z-Image-Turbo uses the permissive Apache 2.0 license. You can use it freely for commercial products without fees.
Just like chatting naturally. Thanks to Qwen 3.4B, you can use complex sentences, idioms, or poems. For text rendering, wrap specific text in quotes.
Yes. ComfyUI has Day-0 support (update to latest). Automatic1111 support is in the dev branch and coming soon.
Z-Image-Turbo solves efficiency and usability. While Flux is great for extreme quality, Z-Image offers 3x speed, half VRAM usage, and superior Chinese support.