Table of Content

• Description
• ✈️ CR Module Input:
• ✈️ CR Module Input Input Parameters:
• ✈️ CR Module Input Output Parameters:
• ✈️ CR Module Input Usage Tips:
• ✈️ CR Module Input Common Errors and Solutions:
• Related Nodes

ComfyUI Node: ✈️ CR Module Input

Class Name

CR Module Input

Category 🧩 Comfyroll Studio/✨ Essential/🎷 Pipe/✈️ Module

Author Suzie1 (Account age: 2158days)Extension Comfyroll StudioLatest Updated 2024-06-05Github Stars 0.49K

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How to Install Comfyroll Studio

Install this extension via the ComfyUI Manager by searching for Comfyroll Studio

• 1. Click the Manager button in the main menu
• 2. Select Custom Nodes Manager button
• 3. Enter Comfyroll Studio 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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✈️ CR Module Input Description

Facilitates seamless integration of various data types into AI art generation pipeline.

✈️ CR Module Input:

The CR Module Input node is designed to facilitate the seamless integration of various data types into your workflow. This node acts as a gateway, allowing you to input a pipeline of data that includes models, conditioning data, latent variables, and more. By using this node, you can streamline the process of feeding complex data structures into your AI art generation pipeline, ensuring that all necessary components are readily available for subsequent processing steps. The primary goal of this node is to simplify the data input process, making it more efficient and user-friendly for AI artists.

✈️ CR Module Input Input Parameters:

pipe

The pipe parameter is a required input that accepts a pipeline of data. This pipeline can include various types of data such as models, conditioning data, latent variables, and more. The pipe parameter is essential for feeding complex data structures into your workflow, ensuring that all necessary components are available for subsequent processing steps. This parameter does not have specific minimum, maximum, or default values as it is designed to handle a wide range of data types.

✈️ CR Module Input Output Parameters:

pipe

The pipe output returns the same pipeline of data that was input, allowing for further processing in subsequent nodes. This ensures that the data flow remains consistent throughout your workflow.

model

The model output provides the model data extracted from the input pipeline. This is crucial for any operations that require model-specific information.

pos

The pos output returns the positive conditioning data from the input pipeline. This data is often used to guide the AI model towards desired outcomes.

neg

The neg output provides the negative conditioning data from the input pipeline. This data helps in steering the AI model away from undesired outcomes.

latent

The latent output returns the latent variables from the input pipeline. These variables are essential for various generative processes within the AI model.

vae

The vae output provides the Variational Autoencoder (VAE) data from the input pipeline. This is important for tasks that involve encoding and decoding data.

clip

The clip output returns the CLIP (Contrastive Language-Image Pre-Training) data from the input pipeline. This data is useful for tasks that involve understanding and generating images based on textual descriptions.

controlnet

The controlnet output provides the ControlNet data from the input pipeline. This is essential for tasks that require fine-grained control over the AI model's behavior.

image

The image output returns the image data from the input pipeline. This is crucial for any image processing or generation tasks.

seed

The seed output provides the seed value from the input pipeline. This is important for ensuring reproducibility in generative processes.

show_help

The show_help output returns a URL to the help documentation for this node. This is useful for users who need additional guidance on how to use the node effectively.

✈️ CR Module Input Usage Tips:

• Ensure that the pipe parameter is correctly configured with all necessary data types to avoid any disruptions in your workflow.
• Utilize the show_help output to access detailed documentation and examples, which can help you better understand how to use the node effectively.
• Combine this node with other pipeline nodes to create a comprehensive and efficient data flow for your AI art generation tasks.

✈️ CR Module Input Common Errors and Solutions:

Missing required input: pipe

• Explanation : This error occurs when the pipe parameter is not provided.
• Solution : Ensure that you have correctly configured the pipe parameter with all necessary data types before executing the node.

Incompatible data types in pipe

• Explanation : This error occurs when the data types within the pipe parameter are not compatible with the node's requirements.
• Solution : Verify that the pipe parameter contains the correct data types, such as models, conditioning data, latent variables, etc., and adjust as necessary.

Undefined output: show_help

• Explanation : This error occurs when the show_help output URL is not accessible.
• Solution : Check your internet connection and ensure that the URL provided in the show_help output is correct and accessible. If the issue persists, consult the node's documentation or support resources.