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Z Image Turbo ControlNet: Photoreal Image-to-Image with Depth & Pose Control on playground and API | RunComfy

tongyi-mai/z-image/turbo/controlnet/lora

Generate ultra-fast, photorealistic images from references in English or Chinese with ControlNet-guided precision, offering depth, pose, and edge control for high-fidelity creative production.

URL of the input image used for ControlNet-based generation.
LoRAs 1
URL, HuggingFace repo ID (owner/repo) to lora weights.
Scale of the LoRA model.
List of LoRAs to apply (maximum 3).
Controls how strongly the ControlNet conditions affect the output.
Specifies the start point of the ControlNet conditioning during generation.
Specifies the end point of the ControlNet conditioning during generation.
Defines what preprocessing (if any) will be applied to the ControlNet input image.
Specifies the number of inference steps during generation.
Enables automatic prompt expansion to improve results; increases cost by 0.0025 credits per request.
Specifies the output image format.

Introduction To Z Image Turbo ControlNet

Developed by Alibaba’s Tongyi-MAI / PAI team, Z Image Turbo ControlNet delivers lightning-fast, photorealistic image-to-image generation with bilingual prompt support in English and Chinese. It’s built for creators, designers, and marketers who demand speed, fidelity, and precision—capable of rendering realistic visuals and on-image text in just 8 inference steps. Z Image Turbo ControlNet on RunComfy offers powerful ControlNet integrations for depth, pose, and edge guidance, ensuring creative flexibility at enterprise performance levels. For developers, Z Image Turbo ControlNet on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.

Examples Of Z Image Turbo ControlNet Creations

Z Image Turbo ControlNet On X: Insights And Updates

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Frequently Asked Questions

Can I use Z Image Turbo ControlNet for commercial text-to-image projects on RunComfy?

Yes, Z Image Turbo ControlNet is distributed under the Apache 2.0 open-source license, which generally allows commercial use. However, using it on RunComfy does not override or bypass the model’s original license terms. If you plan to deploy Z Image Turbo ControlNet commercially for text-to-image generation at scale, review the official license from the model creators to ensure proper compliance.

Are there technical limitations when using Z Image Turbo ControlNet for text-to-image generation?

Yes. Z Image Turbo ControlNet currently supports maximum output resolutions of up to about 1536×1536 pixels. The prompt input is limited to approximately 200–250 tokens, and users can apply up to 4 simultaneous reference conditions through the Fun ControlNet Union (Canny, HED, Depth, Pose, or MLSD). These constraints balance quality, speed, and GPU resource efficiency.

What are the main strengths of Z Image Turbo ControlNet compared to earlier text-to-image models?

Z Image Turbo ControlNet stands out for its bilingual English and Chinese comprehension, improved prompt fidelity, and text rendering within generated images. Using a 6-billion-parameter Single-Stream DiT structure, it performs image generation in just 8 inference steps, delivering fast, high-quality text-to-image outcomes while being more VRAM-efficient than larger competitors like SDXL or Flux.

Can I fine-tune or customize Z Image Turbo ControlNet in my text-to-image pipeline?

Yes, Z Image Turbo ControlNet supports the Base and Edit variants for fine-tuning and image editing tasks. Developers can adapt these for domain-specific text-to-image generation while still benefiting from the core DiT efficiency. Note that fine-tuned derivatives must also respect the original Apache 2.0 licensing conditions.

What happens after my free trial of Z Image Turbo ControlNet ends on RunComfy?

After your free trial credits (usd) are used, you’ll need to purchase additional usd to continue generating text-to-image outputs with Z Image Turbo ControlNet. Pricing is listed under the 'Generation' section of your account. You can monitor usage and costs directly within your RunComfy dashboard.

What kind of support is available for Z Image Turbo ControlNet users on RunComfy?

If you encounter issues using Z Image Turbo ControlNet for text-to-image generation, you can reach RunComfy’s support team via hi@runcomfy.com. They assist with API integration, usage limits, and troubleshooting performance or licensing-related questions.