Retrieve available image, video, and audio generation models with their type and pricing information for selection.
MIT
197,998 tools. Last updated 2026-06-13 03:16
"Using Hugging Face for Text-to-Audio, Image, and Video Generation" matching MCP tools:
- Discover trending AI models from Hugging Face to identify popular tools for tasks like text-generation or image-classification.MIT
- Search for specific text within Hugging Face datasets to find relevant data entries for analysis or training.MIT
- Convert an image to video with text prompts using MiniMax AI. Input the first frame image and a description to generate a dynamic video output.MIT
- Retrieve the complete JSON schema for video generation to understand all configuration options, constraints, and examples before creating valid video configurations.MIT
- Generate short AI videos from text prompts. Submit a prompt and optional seed image or real face asset to produce a short MP4 clip with payment only for successful renders.MIT
Matching MCP Servers
- AlicenseBqualityDmaintenanceEnables image and video generation using BigModel AI's CogView and CogVideoX models via MCP, supporting batch image generation and various configuration options.Last updated6234MIT
- AlicenseBqualityDmaintenanceEnables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.Last updated23ISC
Matching MCP Connectors
Connect to Hugging Face Hub and thousands of Gradio AI Applications
YOLO face-only image/video anonymization: face blur, redaction, body and plate masking.
- Extract text from files in a directory or single file. Supports text, PDF, DOCX, XLSX, PPTX, audio, video, and images. Optionally generate AI summary of combined content.MIT
- Generate a JSON configuration for video generation with support for clips, layers, transitions, and audio options, ready for validation or API submission.MIT
- Execute AI models for generation and analysis. Use get_model_schema to find parameters; choose to wait for results or receive a task token for async monitoring.MIT
- Download or export generated NotebookLM content as audio, video, infographic, or export to Google Slides and Sheets.MIT
- Browse curated AI models organized by category. View featured and popular models across sections like 'Recently Added', 'Image Generation', and 'Video'.MIT
- Extract or generate synchronized audio from video content using AI, allowing customization of sound effects, ambient noise, and atmospheric elements based on descriptive prompts.MIT
- Generate realistic human face images that don't represent real people. Save images to specified directories with customizable dimensions, shapes, and batch generation options.MIT
- Submit video generation requests using Atlas Cloud's AI models. Specify model ID and parameters to create videos from text prompts or images, then check results with prediction ID.MIT
- Generate AI video from one or more reference images. Provide images and a motion prompt to animate or transition between them.MIT
- Retrieve a guide on structuring prompts for Veo video generation, with examples and tips to improve video accuracy and quality.MIT
- Generate videos from text prompts, image inputs, or reference clips using AI models like Seedance 2.0, Happyhorse 1.0, or Veo 3.1. Set duration, resolution, and aspect ratio to control output.MIT
- Query the status of a video generation task and retrieve resulting video URLs and metadata when completed.MIT
- Submit a video generation task to Seedance 2.0 using text prompts, reference images, videos, or audio. Returns a task ID for asynchronous status checking.MIT
- Create LinkedIn posts with video content using the official API. Upload local video files or URLs to share video posts with text, titles, and visibility settings.MIT