ControlNet Pose
|
Tags
|
Pricing model
Upvote
0
The ControlNet Pose tool is designed to create images replicating the pose of the individual in the provided image. It leverages Stable Diffusion and Controlnet by duplicating neural network block weights into a "locked" and "trainable" version. Users can specify parameters such as the number of samples, image resolution, guidance scale, seed, eta, additional prompt, negative prompt, and detection resolution. Typically, predictions are finalized within 21 seconds.
Similar neural networks:
Upvote
0
PlusVector is an AI-driven engine designed for generating vector graphics based on user prompts. It features intuitive editing tools for vector customization and supports exporting in both SVG and PNG formats. This tool is ideal for logo creation, and the vectors produced are suitable for both personal and commercial applications.
Upvote
0
Neolocus is an AI-driven tool that creates lifelike 3D renderings for architecture and interior design projects. It swiftly and efficiently converts 2D layouts into comprehensive 3D visualizations, providing a time-efficient and budget-friendly option compared to conventional rendering techniques. Design and architecture experts might opt for Neolocus to optimize their processes, improve client interaction, and achieve a competitive advantage with high-quality, quickly produced visuals.
Upvote
0
Weavy is a design workflow platform utilizing AI to integrate various generative models (for images, video, 3D, and audio) with advanced editing tools within one visual, node-based interface. It allows creative professionals and enterprise teams to construct, tailor, and automate intricate creative processes without needing to switch between numerous apps. Users opt for Weavy to leverage the latest AI models, retain creative control with professional editing capabilities, uphold brand consistency on a large scale, and collaborate effectively, all while enjoying enterprise-level compliance and freedom from vendor lock-in.