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ComfyUI Node: Omost LLM HTTP Server

Class Name

OmostLLMHTTPServerNode

Category
omost
Author
huchenlei (Account age: 2873 days)
Extension
ComfyUI_omost
Latest Updated
6/14/2024
Github Stars
0.3K

How to Install ComfyUI_omost

Install this extension via the ComfyUI Manager by searching for  ComfyUI_omost
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_omost in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Omost LLM HTTP Server Description

Facilitates integration of language models from HTTP servers for AI art projects, connecting to various APIs seamlessly.

Omost LLM HTTP Server:

The OmostLLMHTTPServerNode is designed to facilitate the integration of language models hosted on HTTP servers into your AI art projects. This node allows you to connect to different types of language model APIs, such as OpenAI and TGI, by providing the server address and API type. By leveraging this node, you can seamlessly initialize and interact with language models over HTTP, enabling advanced text generation capabilities that can enhance your creative workflows. The primary function of this node is to initialize a client that communicates with the specified server, making it easier to incorporate sophisticated language models into your projects without needing extensive technical knowledge.

Omost LLM HTTP Server Input Parameters:

address

The address parameter is a string input that specifies the HTTP server address where the language model API is hosted. This address is crucial as it directs the node to the correct server endpoint for initializing the language model client. The address should be a valid URL, and it can be provided in a multiline format if necessary. There are no specific minimum or maximum values for this parameter, but it must be a valid and reachable URL.

api_type

The api_type parameter allows you to select the type of API you are connecting to. The available options are "OpenAI" and "TGI", with "OpenAI" being the default selection. This parameter determines how the node will handle the server address and what additional information it might need to retrieve from the server. Choosing the correct API type is essential for the proper initialization and functioning of the language model client.

Omost LLM HTTP Server Output Parameters:

OMOST_LLM

The OMOST_LLM output parameter represents the initialized language model client. This output is a tuple containing an instance of OmostLLMServer, which includes the client object and the model ID. The client object is used to interact with the language model API, while the model ID identifies the specific model being used. This output is crucial for subsequent nodes that will utilize the language model for generating text or other tasks.

Omost LLM HTTP Server Usage Tips:

  • Ensure that the address parameter is a valid and reachable URL to avoid connection issues.
  • Select the appropriate api_type based on the server you are connecting to; this ensures that the node handles the server address correctly and retrieves necessary information.
  • Use this node in conjunction with other nodes that require a language model client to perform text generation or other language-related tasks.

Omost LLM HTTP Server Common Errors and Solutions:

ConnectionError

  • Explanation: This error occurs when the node is unable to connect to the specified server address.
  • Solution: Verify that the address parameter is correct and that the server is reachable. Check your network connection and ensure that there are no firewall or security settings blocking the connection.

InvalidAPITypeError

  • Explanation: This error occurs when an unsupported API type is selected.
  • Solution: Ensure that the api_type parameter is set to either "OpenAI" or "TGI". Double-check the spelling and case of the selected API type.

TimeoutError

  • Explanation: This error occurs when the request to the server takes too long to respond.
  • Solution: Check the server's response time and ensure it is not overloaded. You may also try increasing the timeout settings if applicable.

InvalidServerResponseError

  • Explanation: This error occurs when the server returns an unexpected or invalid response.
  • Solution: Verify that the server is functioning correctly and returning the expected data. Ensure that the server address and API type are correctly configured.

Omost LLM HTTP Server Related Nodes

Go back to the extension to check out more related nodes.
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