Showing 4 open source projects for "third party"

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  • 1
    ChatGPT API

    ChatGPT API

    Node.js client for the official ChatGPT API. 🔥

    ...ChatGPTUnofficialProxyAPI - Uses an unofficial proxy server to access ChatGPT's backend API in a way that circumvents Cloudflare (uses the real ChatGPT and is pretty lightweight, but relies on a third-party server and is rate-limited)
    Downloads: 12 This Week
    Last Update:
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    ChatAnyLLM

    ChatAnyLLM

    Unified interface for local model, cloud provider, and custom agent.

    ChatAnyLLM is a desktop GUI application for local inference engines (Ollama, LM Studio, OpenClaw) and cloud providers like OpenRouter. Users may manually configure any OpenAI-compatible API endpoint, connecting third-party providers such as Groq or Cerebras. The application stores conversation history locally and saves api keys with system-level encryption. It supports reasoning models, multimodal inputs, and formatting for LaTeX and code.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Diffusion WebUI Colab

    Diffusion WebUI Colab

    Choose your diffusion models and spin up a WebUI on Colab in one click

    ...Stable Diffusion 2.0 in testing phase. Choose your diffusion models and spin up a WebUI on Colab in one click. Share your generations in our mastodon server - (This is hosted by a third party. I am not associated with the instance in any way.) The instructions are on the Colab.
    Downloads: 1 This Week
    Last Update:
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  • 4
    min(DALL·E)

    min(DALL·E)

    min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

    This is a fast, minimal port of Boris Dayma's DALL·E Mini (with mega weights). It has been stripped down for inference and converted to PyTorch. The only third-party dependencies are numpy, requests, pillow and torch. The required models will be downloaded to models_root if they are not already there. Set the dtype to torch.float16 to save GPU memory. If you have an Ampere architecture GPU you can use torch.bfloat16. Set the device to either cuda or "cpu". Once everything has finished initializing, call generate_image with some text as many times as you want. ...
    Downloads: 1 This Week
    Last Update:
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