Showing 7 open source projects for "livekit-cli"

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

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  • 1
    FLUX.1

    FLUX.1

    Official inference repo for FLUX.1 models

    ...This repo focuses on running the open-source model variants efficiently, providing scripts, model loading logic, and examples for local installations, and supports integration with Python toolchains like PyTorch and popular generative pipelines. Users can launch CLI tools to generate images, experiment with different FLUX variants, and extend the base code for research-oriented applications.
    Downloads: 12 This Week
    Last Update:
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  • 2
    ComfyUI

    ComfyUI

    The most powerful and modular diffusion model GUI, api and backend

    ...This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission is to advance and democratize AI tooling. We believe that the future of AI tooling is open-source and community-driven.
    Downloads: 430 This Week
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  • 3
    InvokeAI

    InvokeAI

    InvokeAI is a leading creative engine for Stable Diffusion models

    InvokeAI is an implementation of Stable Diffusion, the open source text-to-image and image-to-image generator. It provides a streamlined process with various new features and options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM. InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies....
    Downloads: 10 This Week
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  • 4
    Core ML Stable Diffusion

    Core ML Stable Diffusion

    Stable Diffusion with Core ML on Apple Silicon

    ...If you would like to convert a version of Stable Diffusion that is not already available on the Hub, please refer to the Converting Models to Core ML. Log in to or register for your Hugging Face account, generate a User Access Token and use this token to set up Hugging Face API access by running huggingface-cli login in a Terminal window.
    Downloads: 0 This Week
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    AI-First Supply Chain Management

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  • 5
    DALL-E 2 - Pytorch

    DALL-E 2 - Pytorch

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as...
    Downloads: 1 This Week
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  • 6
    Dynacover

    Dynacover

    Dynamic Twitter images and banners

    Dynacover is a PHP GD + TwitterOAuth CLI app to dynamically generate Twitter header images and upload them via the API. This enables you to build cool little tricks, like showing your latest followers or GitHub sponsors, your latest content created, a qrcode to something, a progress bar for a goal, and whatever you can think of. You can run Dynacover in three different ways.
    Downloads: 0 This Week
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  • 7
    CLIP Guided Diffusion

    CLIP Guided Diffusion

    A CLI tool/python module for generating images from text

    A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI. Text to image generation (multiple prompts with weights). Non-square Generations (experimental) Generate portrait or landscape images by specifying a number to offset the width and/or height. Uses fewer timesteps over the same diffusion schedule.
    Downloads: 0 This Week
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