ControlNet Pose
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Pricing model
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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:
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InteriorAI is a platform that utilizes AI to generate images, enabling users to upload pictures of their own or another person's home and create a new appearance and layout from 17 predefined styles. It is a component of an expanding network of AI image generators and may be employed for interior design brainstorming or virtual staging in real estate.
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Colab implementations of AUTOMATIC1111 Webui and Dreambooth allow you to train your model effortlessly and swiftly on this straightforward Colab. Simply enter your Hugging Face token once, and it will cache all the necessary files in GDrive, including the trained model, enabling you to use it directly from the Colab. Ensure that you use high-quality reference images for effective training.
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Graphical is a tool for designers and developers, including those working on applications with coding agents like ChatGPT, Claude, or Cursor. It allows users to create visual design languages by personalizing colors, typography, spacing, icons, and component states. The results can be exported as shadcn-compatible theme tokens and React components based on Base UI. Each download comes with a GUI.md file, comprehensive documentation for light and dark modes, setup instructions, and three skills for coding agents to assist in applying and extending the theme. Graphical is offered as a one-time purchase, providing unlimited use for projects and access to ongoing updates for the theme builder.