ControlNet Pose

Freemium

A tool to create images with the same pose as the input image.

ControlNet Pose is a specialized image generation tool hosted on Replicate that utilizes pose detection to replicate human stances from reference images. The model enables users to maintain structural consistency while modifying visual elements. It is available as an open source model and provides an API for automated workflows for artists and developers (verified: 2026-01-29).

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

Digital artists generating character variations while maintaining a specific skeletal structure and body orientation from a reference image (verified: 2026-01-29), Software developers integrating pose-controlled image generation into applications via the Replicate API for automated content creation (verified: 2026-01-29), Content creators modifying human subjects in images by applying pose detection to ensure consistent physical positioning (verified: 2026-01-29)

Strengths

The tool provides an API interface on Replicate allowing for programmatic integration into external software workflows (verified: 2026-01-29), Users access the model as open source software which provides transparency regarding the underlying code and architecture (verified: 2026-01-29), The system utilizes specialized pose detection to ensure that generated human figures match the exact stance of the input (verified: 2026-01-29)

Limitations

Running the model on the Replicate platform incurs a cost of approximately fifteen cents per individual execution (verified: 2026-01-29), The total cost and processing time fluctuate based on the specific complexity of the user inputs provided (verified: 2026-01-29)

Last verified

Jan 29, 2026

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Strengths

  • The tool provides an API interface on Replicate allowing for programmatic integration into external software workflows (verified: 2026-01-29)
  • Users access the model as open source software which provides transparency regarding the underlying code and architecture (verified: 2026-01-29)
  • The system utilizes specialized pose detection to ensure that generated human figures match the exact stance of the input (verified: 2026-01-29)

Limitations

  • Running the model on the Replicate platform incurs a cost of approximately fifteen cents per individual execution (verified: 2026-01-29)
  • The total cost and processing time fluctuate based on the specific complexity of the user inputs provided (verified: 2026-01-29)

FAQ

How does the pricing structure work for running this model on the Replicate platform?

The model costs approximately $0.15 per run on Replicate, which translates to roughly six runs for one dollar. However, the final price varies depending on the specific inputs provided by the user during the generation process (verified: 2026-01-29).

Can developers integrate this pose detection tool into their own custom software applications?

Yes, the tool is available via an API on Replicate, allowing developers to programmatically trigger image generation and pose detection within their own environments. It is also available as an open source project (verified: 2026-01-29).

What is the primary function of the ControlNet Pose model during the image generation process?

The model is designed to modify images containing humans by using pose detection to replicate a specific skeletal orientation. This allows users to create new images that strictly follow the physical pose of a reference input (verified: 2026-01-29).