S

Sd Controlnet Openpose

Developed by lllyasviel
ControlNet is a neural network structure that controls the image generation of Stable Diffusion through human pose estimation conditions.
Downloads 5,756
Release Time : 2/24/2023

Model Overview

This model is based on Stable Diffusion v1 - 5. By using the OpenPose skeleton map as a control condition, it realizes image generation with precise control of human poses.

Model Features

Precise pose control
Precisely control the poses of characters in the generated images through the OpenPose skeleton map.
Small - data training
Effective training can be achieved with less than 50,000 samples, suitable for scenarios with limited data.
Device compatibility
Supports inference and fine - tuning on consumer - grade GPU devices.

Model Capabilities

Human pose estimation
Conditional image generation
Text - guided image synthesis

Use Cases

Digital art creation
Character pose design
Quickly generate concept art of characters in different poses by specifying the skeleton map.
Precisely control the pose while maintaining the consistency of the character's appearance.
Film and television pre - visualization
Storyboard sketch generation
Quickly generate the layout of scene characters with a simple skeleton map.
Accelerate the pre - production process.
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