Pose Depot

Overview:

Pose Depot aims to provide a high-quality image collection depicting various poses from different angles. These images are available in OpenPose, Canny, Normal, and Depth versions. The project is designed to serve as a dataset for ControlNets in text-to-image diffusion models, enhancing control in image generation processes. Users can download pose collections directly from Releases or explore the content conveniently on the project's webpage, which enables browsing, filtering by tags, and viewing different pose collections.

Features:

• High-Quality Pose Collection: Images depicting poses from various angles.
• Multiple Versions: OpenPose, Canny, Normal, and Depth versions available for each pose.
• Dataset for ControlNets: Designed for use with text-to-image diffusion models to enhance control in image generation.
• Convenient Exploration: Webpage allows users to browse, filter by tags, and view pose collections easily.
• Ongoing Updates: Project is a work in progress with continuous improvements and updates.
• Community Interaction: Users can file issues for specific pose requests, bug reports, or inquiries. Contributions through pull requests are also welcomed.

Summary:

Pose Depot is a project focused on curating high-quality pose images in various styles to facilitate image generation processes. With multiple versions available for each pose, users can enhance control in their image creation endeavors. The project's webpage offers a user-friendly interface for exploring and accessing pose collections, making it a valuable resource for those working with text-to-image diffusion models. With ongoing updates and community interaction, Pose Depot continues to evolve as a comprehensive dataset for pose-based image generation.