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Generative Media Models · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesGenerative Media Models

Models focused on the synthesis of new visual or creative content from various input modalities.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Generative Media Models. Refine with filters or upvote what's useful.

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Awesome Generative Media Models GitHub Repositories

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  • AUTOMATIC1111/stable-diffusion-webui

    AUTOMATIC1111/stable-diffusion-webui

    160,701GitHubView on GitHub↗

    Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement. The platform distinguishes itsel

    Pythonaiai-artdeep-learning
  • CompVis/stable-diffusion

    CompVis/stable-diffusion

    72,380GitHubView on GitHub↗

    Stable Diffusion is a generative machine learning pipeline that synthesizes high-resolution visual content by performing iterative denoising within a compressed latent space. By mapping natural language embeddings into pixel outputs through conditioned probabilistic processes, the framework enables the generation of im

    Jupyter Notebook
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents
  • deepfakes/faceswap

    deepfakes/faceswap

    54,974GitHubView on GitHub↗

    Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users

    Pythondeep-face-swapdeep-learningdeep-neural-networks

Explore sub-tags

  • Image Generation ModelsGenerative models that synthesize visual imagery based on textual descriptions or other input data.
  • Multimodal Generation ModelsModels that process and generate content across multiple media formats, such as combining text, audio, and images.
  • Video Generation ModelsGenerative models designed to create sequential video frames from text prompts or static image inputs.