ComfyUI  >  Nodes  >  ComfyUI-Flowty-CRM >  CRM Model Loader

ComfyUI Node: CRM Model Loader

Class Name


Flowty CRM
flowtyone (Account age: 271 days)
Latest Updated
Github Stars

How to Install ComfyUI-Flowty-CRM

Install this extension via the ComfyUI Manager by searching for  ComfyUI-Flowty-CRM
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Flowty-CRM 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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CRM Model Loader Description

Facilitates loading CRM models in Flowty CRM for AI art projects, streamlining the process for efficiency and user-friendliness.

CRM Model Loader:

The CRMModelLoader node is designed to facilitate the loading of CRM (Convolutional Recurrent Model) models within the Flowty CRM framework. This node is essential for initializing and preparing CRM models for subsequent processing tasks, such as generating 3D meshes from 2D images. By leveraging this node, you can ensure that the CRM model is correctly loaded onto the appropriate device (CPU or GPU) and ready for use in your AI art projects. The primary goal of this node is to streamline the model loading process, making it more efficient and user-friendly, especially for those who may not have a deep technical background.

CRM Model Loader Input Parameters:


The crm_model parameter specifies the filename of the CRM model checkpoint that you wish to load. This parameter is crucial as it determines which pre-trained model will be used for your tasks. The available options for this parameter are the filenames of the checkpoints stored in the designated directory. By selecting the appropriate model, you can influence the quality and characteristics of the generated outputs. There are no minimum, maximum, or default values for this parameter, as it depends on the available model files.

CRM Model Loader Output Parameters:


The CRM_MODEL output parameter represents the loaded CRM model instance. This output is essential as it provides the initialized model that can be used in subsequent nodes for various processing tasks. The loaded model is ready for use and has been transferred to the appropriate device (CPU or GPU) based on the system's capabilities. This output ensures that the model is correctly set up and can be seamlessly integrated into your workflow.

CRM Model Loader Usage Tips:

  • Ensure that the crm_model parameter is set to the correct filename of the model checkpoint you wish to use. This will help in loading the desired pre-trained model for your tasks.
  • Verify that your system has the necessary hardware (CPU or GPU) and software (CUDA for GPU) support to optimize the model loading process and performance.

CRM Model Loader Common Errors and Solutions:

"Cuda is not supported, use the regular CRMModeler node"

  • Explanation: This error occurs when the system does not have CUDA support, which is required for GPU acceleration.
  • Solution: Ensure that your system has a compatible GPU and the necessary CUDA drivers installed. If GPU support is not available, consider using the regular CRMModeler node instead of the CRMModelerCuda node.

"FileNotFoundError: [Errno 2] No such file or directory: 'checkpoints/<model_filename>'"

  • Explanation: This error occurs when the specified model checkpoint file is not found in the designated directory.
  • Solution: Verify that the crm_model parameter is set to the correct filename and that the file exists in the checkpoints directory. Ensure that there are no typos in the filename.

"RuntimeError: Error(s) in loading state_dict for CRM"

  • Explanation: This error occurs when there is a mismatch between the model architecture and the checkpoint file.
  • Solution: Ensure that the checkpoint file corresponds to the correct model architecture. If the model has been updated, make sure to use a compatible checkpoint file.

CRM Model Loader Related Nodes

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

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