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:
Paragraphica is a camera that transforms context into images by utilizing location data and artificial intelligence to create an AI-driven "photograph" representing the essence of a place and time. It features three physical dials for users to adjust data and AI settings, affecting the photo's appearance. The camera gathers information such as address, weather, time, and nearby landmarks from its surroundings. The generated photograph offers a detailed and intricate depiction of the location.
Looking to determine a suitable prompt for generating new images similar to an existing one? The CLIP Interrogator is available to provide you with solutions!
Fenestra is a design visualization tool that quickly converts ideas into presentation-worthy visuals. It accommodates inputs such as sketches, 3D models, and mood boards, enabling users to produce renderings in any visual style, including custom-designed aesthetics. Designers can bring in typical 3D formats like .FBX, .GLB, and .3DM, create unique camera angles, and share projects in fully-realized 3D without needing additional software. Fenestra integrates smoothly with professional workflows by refining renderings, perfecting collages, and enhancing or reinventing existing designs. Through AI-driven prompts, high-quality results, and user-controlled styles, it allows designers to transition from concept to presentation more rapidly and with increased creative oversight.