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ComfyUI > Nodes > Sage Utils > Load CLIP Model <- Info

ComfyUI Node: Load CLIP Model <- Info

Class Name

Sage_CLIPLoaderFromInfo

Category
Sage Utils/model
Author
arcum42 (Account age: 6442days)
Extension
Sage Utils
Latest Updated
2026-05-17
Github Stars
0.03K

How to Install Sage Utils

Install this extension via the ComfyUI Manager by searching for Sage Utils
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Sage Utils 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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Load CLIP Model <- Info Description

Sage_CLIPLoaderFromInfo node loads and updates CLIP models using structured `clip_info` data.

Load CLIP Model <- Info:

The Sage_CLIPLoaderFromInfo node is designed to facilitate the loading of a CLIP model component using information provided in a structured format known as clip_info. This node is part of the Sage Utils suite, which aims to streamline the process of integrating and managing various model components within a computational graph. By leveraging the clip_info, this node efficiently constructs a CLIP model node, ensuring that the model is correctly instantiated and ready for use in subsequent operations. This functionality is particularly beneficial for AI artists and developers who need to incorporate CLIP models into their workflows without delving into the complexities of model initialization and configuration. The node also updates the model's timestamp, ensuring that the most recent version is utilized, which is crucial for maintaining up-to-date model performance and accuracy.

Load CLIP Model <- Info Input Parameters:

clip_info

The clip_info parameter is a structured input that provides the necessary information to load the CLIP model. It typically includes details such as the model's path and configuration settings. This parameter is crucial as it dictates how the CLIP model is instantiated and integrated into the computational graph. The clip_info can be provided as a list or tuple, but the node will only utilize the first element if multiple entries are present. There are no explicit minimum, maximum, or default values specified for this parameter, as it is expected to be a comprehensive dictionary or object containing all required model details.

Load CLIP Model <- Info Output Parameters:

clip

The clip output parameter represents the instantiated CLIP model node within the computational graph. This output is essential as it serves as the entry point for utilizing the CLIP model's capabilities in subsequent operations or nodes. The clip output ensures that the model is correctly configured and ready for tasks such as image-text matching or other CLIP-related functionalities. The output is generated after the successful creation and integration of the CLIP model node, providing a seamless transition from model loading to application.

Load CLIP Model <- Info Usage Tips:

  • Ensure that the clip_info parameter is correctly populated with all necessary model details, including the path and configuration settings, to avoid errors during model loading.
  • Regularly update the clip_info to reflect any changes in model versions or configurations, ensuring that the most recent and accurate model is used in your workflows.

Load CLIP Model <- Info Common Errors and Solutions:

Failed to create CLIP node from clip_info.

  • Explanation: This error occurs when the node is unable to instantiate the CLIP model from the provided clip_info. This could be due to missing or incorrect information in the clip_info parameter.
  • Solution: Verify that the clip_info contains all necessary details, such as the correct model path and configuration settings. Ensure that the information is accurate and complete to facilitate successful model loading.

Load CLIP Model <- Info Related Nodes

Go back to the extension to check out more related nodes.
Sage Utils
RunComfy
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RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

Load CLIP Model <- Info