Average Model Cost: $0.0496
Number of Runs: 503,406
Models by this creator
The nsfw-filter model is a tool that allows you to run any image through the Stable Diffusion content filter. The model is designed to identify and block potentially explicit or NSFW (Not Safe for Work) content in images. It uses advanced algorithms and computer vision techniques to analyze the content of an image and determine if it contains explicit or inappropriate material. The nsfw-filter model is useful for applications or platforms that need to filter out NSFW images to maintain a safe and appropriate environment for users.
whisper-subtitles is a model that uses OpenAI's Whisper ASR (Automatic Speech Recognition) model to generate subtitles from an audio file. The model takes an audio input and transcribes it into text, allowing for the creation of subtitles or captions for various purposes such as videos or podcasts. It provides an efficient and accurate solution for converting spoken content into written form.
The emoji-diffusion model uses the Dreambooth algorithm to generate stable images of emojis. It takes text input in the form of emojis and converts them into high-quality images that can be used in various applications. The model uses deep learning techniques to ensure accurate and visually appealing representations of the emojis.
The safe-latent-diffusion model is a modified version of the Stable Diffusion model, designed to generate safe images that do not contain explicit or NSFW (Not Safe for Work) content. While the original model might return a black square for NSFW images, the safe-latent-diffusion model instead generates the closest non-NSFW image as an output. This modification makes the model more suitable for applications where it is important to avoid explicit or inappropriate content.