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ComfyUI > Nodes > ComfyUI-LiTo > (Down)Load LiTo Model

ComfyUI Node: (Down)Load LiTo Model

Class Name

LiToLoadModel

Category
LiTo
Author
PozzettiAndrea (Account age: 2388days)
Extension
ComfyUI-LiTo
Latest Updated
2026-05-21
Github Stars
0.04K

How to Install ComfyUI-LiTo

Install this extension via the ComfyUI Manager by searching for ComfyUI-LiTo
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-LiTo 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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(Down)Load LiTo Model Description

Facilitates downloading and loading generative model checkpoint for LiTo image-to-3D model from Apple's CDN.

(Down)Load LiTo Model:

The LiToLoadModel node is designed to facilitate the downloading and loading of a generative model checkpoint from Apple's CDN, specifically for the LiTo image-to-3D model. This node is essential for users who wish to leverage the capabilities of the LiTo model in their AI art projects. It automates the process of fetching the necessary model files and configuring them for use, ensuring that the model is ready for execution with the desired precision settings. By handling the complexities of model downloading and loading, this node simplifies the workflow for AI artists, allowing them to focus on creative tasks rather than technical setup.

(Down)Load LiTo Model Input Parameters:

checkpoint

The checkpoint parameter specifies which model checkpoint to download and load. It is a string that corresponds to a key in the predefined CHECKPOINT_URLS dictionary, such as "lito_dit_rgba (recommended)" or "lito_dit (paper)". This parameter determines the specific version of the model that will be used, impacting the model's performance and characteristics.

compile

The compile parameter is a boolean that indicates whether the model should be compiled after loading. Compiling the model can optimize its performance by improving execution speed and efficiency, especially on compatible hardware. This parameter allows users to choose between a potentially faster execution or a simpler, non-compiled model setup.

precision

The precision parameter defines the numerical precision to be used when loading the model. It can be set to "auto", "bf16", "fp16", or "fp32". When set to "auto", the node automatically determines the best precision based on the available hardware, balancing performance and accuracy. Choosing the right precision can significantly affect the model's speed and memory usage, with lower precision often resulting in faster execution but potentially less accuracy.

(Down)Load LiTo Model Output Parameters:

model_config

The model_config output parameter is a dictionary containing the configuration details of the loaded model. It includes the checkpoint_path, which is the local path to the downloaded model file, the compile status indicating whether the model was compiled, and the precision used during loading. This output provides essential information for subsequent nodes or processes that will utilize the loaded model, ensuring they have the necessary context to operate correctly.

(Down)Load LiTo Model Usage Tips:

  • Ensure that your internet connection is stable when using this node, as it involves downloading model files from an external server.
  • Consider setting the precision parameter to "auto" to let the node automatically choose the best precision based on your hardware, optimizing performance without manual intervention.
  • If you experience performance issues, try enabling the compile option to potentially enhance the model's execution speed.

(Down)Load LiTo Model Common Errors and Solutions:

Error: "Failed to download checkpoint"

  • Explanation: This error occurs when the node is unable to download the model checkpoint from the specified URL, possibly due to network issues or incorrect URL.
  • Solution: Verify your internet connection and ensure that the checkpoint parameter is set to a valid option from the CHECKPOINT_URLS dictionary.

Error: "Unsupported precision type"

  • Explanation: This error indicates that the specified precision type is not supported by the current hardware or configuration.
  • Solution: Set the precision parameter to "auto" to allow the node to automatically select a compatible precision type based on your hardware capabilities.

(Down)Load LiTo Model Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-LiTo
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.

(Down)Load LiTo Model