ComfyUI > Nodes > ComfyUI_DICE_Talk > Dice_Talk_PreData

ComfyUI Node: Dice_Talk_PreData

Class Name

Dice_Talk_PreData

Category
Dice_Talk
Author
smthemex (Account age: 702days)
Extension
ComfyUI_DICE_Talk
Latest Updated
2025-05-07
Github Stars
0.02K

How to Install ComfyUI_DICE_Talk

Install this extension via the ComfyUI Manager by searching for ComfyUI_DICE_Talk
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_DICE_Talk 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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Dice_Talk_PreData Description

Prepare and process data for AI-driven multimedia content generation within the Dice Talk system.

Dice_Talk_PreData:

The Dice_Talk_PreData node is designed to prepare and process data for the Dice Talk system, which is likely a component of a larger AI-driven framework for generating or manipulating multimedia content. This node plays a crucial role in setting up the necessary data structures and configurations required for subsequent processing stages. By organizing and pre-processing input data, it ensures that the system can efficiently handle complex tasks such as image and audio processing, potentially involving emotion and reference scaling. The node's primary goal is to streamline the data preparation phase, making it easier for users to manage and manipulate multimedia content with precision and flexibility.

Dice_Talk_PreData Input Parameters:

clip_vision

The clip_vision parameter is expected to be a component related to visual data processing, possibly involving a CLIP (Contrastive Language–Image Pretraining) model. This parameter is crucial for handling image data and ensuring that visual inputs are correctly interpreted by the system.

vae

The vae parameter refers to a Variational Autoencoder, which is a type of neural network used for generating or reconstructing images. This parameter is essential for tasks that involve image generation or transformation, providing the necessary framework for encoding and decoding visual data.

audio

The audio parameter is used to input audio data into the system. It is a critical component for any tasks that involve sound processing, ensuring that audio inputs are correctly handled and integrated with other data types.

image

The image parameter is used to input image data into the system. It is essential for tasks that involve visual content, ensuring that images are correctly processed and utilized within the framework.

weight_dtype

The weight_dtype parameter specifies the data type for model weights, which can impact the precision and performance of the model. Choosing the appropriate data type is important for optimizing the model's efficiency and accuracy.

emo_files

The emo_files parameter likely refers to a list of files related to emotions, which could be used for tasks involving emotion recognition or synthesis. This parameter is important for applications that require an understanding or manipulation of emotional content.

min_resolution

The min_resolution parameter sets the minimum resolution for image processing, with a default value of 512, a minimum of 128, and a maximum of 2048. This parameter ensures that images are processed at an appropriate level of detail, balancing quality and performance.

duration

The duration parameter specifies the length of time for which the system should process data, with a default value of 10.0 seconds, a minimum of 1.0 second, and a maximum of 100000000000.0 seconds. This parameter is crucial for tasks that involve time-based data, such as audio or video processing.

expand_ratio

The expand_ratio parameter determines the ratio by which data should be expanded, with a default value of 0.5, a minimum of 0.1, and a maximum of 1.0. This parameter is important for scaling data appropriately, ensuring that it fits within the desired framework.

retrieval

The retrieval parameter is a boolean that indicates whether data retrieval should be performed, with a default value of False. This parameter is useful for tasks that require fetching or accessing additional data from external sources.

Dice_Talk_PreData Output Parameters:

data_dict

The data_dict output parameter is a dictionary that contains the pre-processed data ready for further processing. This output is crucial as it encapsulates all the necessary information and configurations required for the next stages in the Dice Talk system, ensuring a seamless transition from data preparation to execution.

Dice_Talk_PreData Usage Tips:

  • Ensure that all input parameters are correctly configured to match the specific requirements of your task, as this will significantly impact the quality and efficiency of the data processing.
  • Utilize the min_resolution and expand_ratio parameters to balance performance and quality, especially when dealing with high-resolution images or large datasets.

Dice_Talk_PreData Common Errors and Solutions:

"Invalid data type for parameter"

  • Explanation: This error occurs when an input parameter is provided with a data type that is not supported by the node.
  • Solution: Verify that all input parameters are of the correct data type as specified in the node's documentation, and adjust them accordingly.

"Resolution out of bounds"

  • Explanation: This error indicates that the specified resolution is outside the allowed range.
  • Solution: Ensure that the min_resolution parameter is set within the specified range of 128 to 2048, and adjust it if necessary.

Dice_Talk_PreData Related Nodes

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