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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OpenArt Photo Booth is a tool powered by AI that allows users to create customized photos using real images. It captures photos of a subject and trains a model with the provided images, enabling users to produce 400 photos for free with unique prompts. Additionally, the tool provides advanced packages for users who want to train multiple models simultaneously and download the model checkpoint file. All generated images belong to the user and can be utilized for commercial purposes.
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State-of-the-art AI technology creates unique and original patterns for fabric, gift wrap, wallpaper, and game textures. Whether you're a professional designer or an enthusiast, the intuitive platform simplifies the process of exploring and crafting a diverse array of designs.
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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.