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ControlNet Pose

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What to know before choosing

Official-site material has been collected and reviewed in the product profile below. Pricing and platform details remain unverified unless a specific sourced statement is shown.

Evidence

jagilley/controlnet-pose | Run with an API on Replicate ↗

Official-site collection and source-backed editorial review. Last source review is not a date of product testing.

Product details from official sources

ControlNet Pose (jagilley/controlnet-pose) is a Replicate-hosted model by Lyumin Zhang that modifies images of humans using pose detection. It adapts Stable Diffusion to use a pose map of humans in an input image alongside a text prompt to generate the output; OpenPose detects the pose automatically. Running it on Replicate costs approximately $0.15 per run (about 6 runs per $1) on Nvidia A100 hardware with predictions typically completing within 108 seconds, and it is also open source so it can run on a local computer with Docker.

Capabilities and conditions

Adapts Stable Diffusion to use a pose map of humans in an input image alongside a text prompt to generate output. Source ↗
Costs approximately $0.15 per run on Replicate, or about 6 runs per $1. Source ↗
It is open source and can be run on a local computer with Docker. Source ↗

Price and free allowance

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Published-source profile · collected 2026-10-17. Automated collection followed by editorial review. These are vendor-published claims, not hands-on product test results.

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