Z-Image Turbo
Z-Image-Turbo is a cutting-edge text-to-image model developed by Tongyi-MAI that prioritizes extreme inference speed without sacrificing visual quality. This powerful model utilizes advanced distillation techniques to achieve near real-time image synthesis, making it ideal for interactive applications and high-demand production environments. By significantly reducing computational overhead, it enables creators to generate high-fidelity visuals faster than traditional diffusion frameworks. The model excels at interpreting natural language prompts with remarkable precision, delivering vibrant and detailed imagery across a wide range of artistic styles. Its optimized architecture ensures a seamless balance between creative flexibility and technical efficiency, catering to both professional designers and software developers. Explore the capabilities of Z-Image-Turbo on Hugging Face to integrate lightning-fast, high-performance image generation into your next digital project.
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Z-Image-Turbo is a cutting-edge text-to-image model developed by Tongyi-MAI that prioritizes extreme inference speed without sacrificing visual quality. This powerful model utilizes advanced distillation techniques to achieve near real-time image synthesis, making it ideal for interactive applications and high-demand production environments. By significantly reducing computational overhead, it enables creators to generate high-fidelity visuals faster than traditional diffusion frameworks. The model excels at interpreting natural language prompts with remarkable precision, delivering vibrant and detailed imagery across a wide range of artistic styles. Its optimized architecture ensures a seamless balance between creative flexibility and technical efficiency, catering to both professional designers and software developers. Explore the capabilities of Z-Image-Turbo on Hugging Face to integrate lightning-fast, high-performance image generation into your next digital project.
Connect Claude, Cursor, VS Code, or Codex to Layer’s MCP server and Z-Image Turbo becomes a tool your agent can reach for — it picks the parameters, runs the generation, and shows you the result in the conversation.
https://mcp.app.layer.ai/mcpAsk your agent
“Use Z-Image Turbo to generate 4 variations of a crystal sword icon on a transparent background.”
execute_forge({
"base_model_id": "z-image-turbo",
"prompt": "A crystal sword icon on a transparent background, game UI art",
"batch_size": 4,
"width": 1024,
"height": 1024
})Authenticate with a personal access token, post the model’s own form, and poll the inference until it completes. Every field below is accepted by this endpoint.
# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/qwen-z-image-turbo/inferences \
-H "Authorization: Bearer $LAYER_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A crystal sword icon on a transparent background, game UI art"
}'
# Poll until status is "complete" — the response then carries the asset URLs.
curl https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/inferences/$INFERENCE_ID \
-H "Authorization: Bearer $LAYER_TOKEN"- prompt string
- Describe what to generate, or the change to make.
- tileability booleandefault false
- Make the image repeat without a visible seam when tiled side by side.
- aspect_ratio enumdefault SQUARE_1K14 options
- The shape and size of the output.
- quality enumdefault HIGHLOW, MEDIUM, HIGH
- Higher levels render more detail, and can take longer and cost more.
- prompt_enhancement enumdefault AUTOAUTO, OFF, STANDARD
- Let the model rewrite the prompt before generating.
- seed integer
- The starting point for the model's randomness. The same seed and settings give the same result.
- inference_steps integerdefault 81–8
- How many refinement passes the model makes. More add detail and take longer.
- transparency booleandefault false
- Output the subject alone, with no backdrop behind it.
- prompt_language string
- The language the prompt is written in, so it reaches the model as you meant it.
Create amazing image assets with Z-Image Turbo on Layer
The complete content creation platform for modern game teams. From concepting to polished in-game assets - across Image, 3D, Video, and Audio.
Why use Z-Image Turbo for image?
High-quality image generation
Z-Image Turbo delivers production-ready outputs with clean structure, sharp detail, and strong prompt adherence. Ideal for character art, environments, and marketing assets.
Strong prompt control
The model interprets creative instructions with high accuracy, even when switching between different styles, lighting setups, or character directions.
Clean compositions for UA
Maintains stable framing, clear silhouettes, and high focal clarity. Assets read well at mobile sizes, making it strong for UA experiments and ad creatives.

Rapid character and cosmetic ideation with strong structure
Quickly explore character poses, cosmetic ideas, and early art directions. Clean silhouettes and expressive results help teams evaluate concepts before moving to heavier models.

Fast UA creative exploration and thumbnail testing
Generate clear, high-readability frames that work well for quick A/B testing across networks. Test multiple creative angles and iterate quickly based on results.

Lightweight environment and item exploration for LiveOps
Draft environments, themed content, shop items, and event visuals in a rapid loop. Ideal for early-stage direction setting before committing to final polish.
FAQ
How much does Z-Image Turbo cost? Is it free?+
How does Layer's pricing work?+
There are no seat fees, feature gates, or plans on Layer. Instead, our platform uses a consumption based system with Creative Units (CUs) with a flexible monthly subscription. Every generation on Layer (image, video, 3D, or audio) consumes a Creative Unit, and you only pay for what you create.
What Elo score does Z-Image Turbo have?+
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