Z Image Turbo Controlnet
Z Image Turbo Controlnet is an image generation model from Qwen that uses ControlNet to guide outputs from a reference image.
Qwen
WaveSpeedControlNet-guided image generation with source images
Z Image Turbo Controlnet is an image generation model published by Qwen and served through WaveSpeed AI. It uses ControlNet conditioning, which allows a reference image to guide the structure, pose, or composition of generated outputs rather than relying on text prompts alone. The model accepts an image URL as input alongside a selectable ControlNet mode, making it suited for workflows where spatial or structural consistency with a source image is required.
The model is priced at $0.012 per image and was released in November 2025. It supports configurable output size, a numeric strength parameter that controls how closely the output adheres to the reference image, and a seed input for reproducible results. These controls make it practical for tasks like style transfer, pose-consistent character generation, and layout-constrained image creation.
What Z Image Turbo Controlnet supports
ControlNet Conditioning
Uses a reference image to guide the structure or composition of generated outputs via a selectable ControlNet mode. This allows spatial constraints like pose or edges to be preserved in the result.
Reference Image Input
Accepts an image URL as a direct input to anchor generation to a source image. This enables layout- or structure-consistent image creation without relying solely on text prompts.
Strength Control
A numeric strength parameter determines how closely the generated image adheres to the reference. Lower values allow more creative deviation; higher values enforce tighter structural fidelity.
Configurable Output Size
Output image dimensions are selectable via a size input, allowing the model to fit different aspect ratios or resolution requirements for a given project.
Reproducible Generation
A seed input lets users lock in a specific random state so that identical prompts and settings produce the same image output across runs.
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Get Started FreeCommon questions about Z Image Turbo Controlnet
How much does Z Image Turbo Controlnet cost to use?
The model is priced at $0.012 per image generated.
What is the context window for this model?
The model has a context window of 10,000 tokens.
What inputs does Z Image Turbo Controlnet accept?
It accepts a reference image URL, a ControlNet mode selection, an output size selection, a numeric strength value, and a seed for reproducibility.
What does the strength parameter do?
The strength parameter controls how closely the generated image follows the reference image. A higher value enforces tighter adherence to the source image's structure, while a lower value allows more variation.
When was Z Image Turbo Controlnet released?
The model was released in November 2025 and became available on MindStudio on March 25, 2026.
Parameters & options
Reference image URL for ControlNet to extract structural guidance from.
ControlNet mode: 'depth' for depth map guidance, 'canny' for edge detection, 'pose' for human pose estimation, 'none' for no control.
Output image size in pixels (width*height).
Controls how strongly the ControlNet guidance affects the output. Higher values follow the control signal more strictly.
Random seed for reproducible generation. Use -1 for random seed.
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