ComfyUI > Nodes > AegisFlow Utility Nodes > sdxl tuple pass

ComfyUI Node: sdxl tuple pass

Class Name

Aegisflow SDXL Tuple Pass

Category
AegisFlow/passers
Author
Aegis72 (Account age: 701days)
Extension
AegisFlow Utility Nodes
Latest Updated
2024-10-03
Github Stars
0.03K

How to Install AegisFlow Utility Nodes

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

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

sdxl tuple pass Description

Facilitates seamless transfer of SDXL tuple data in AI art workflow for remote targeting without modification, ensuring data integrity and efficient handling of complex structures.

sdxl tuple pass:

The Aegisflow SDXL Tuple Pass node is designed to facilitate the seamless transfer of SDXL tuple data within your AI art workflow. This node is particularly useful for remote targeting scenarios where data needs to be passed through without modification, ensuring that the integrity of the SDXL tuple is maintained. By using this node, you can streamline your workflow and ensure that complex data structures are handled efficiently, making it easier to manage and manipulate your AI-generated art projects.

sdxl tuple pass Input Parameters:

sdxl tuple

The sdxl tuple parameter is an optional input that accepts an SDXL_TUPLE type. This parameter allows you to pass an SDXL tuple through the node. If provided, the node will output the same SDXL tuple. If not provided or if the input is None, the node will generate and return an empty SDXL_TUPLE placeholder. This ensures that the node can handle cases where the input data might be missing or incomplete, maintaining the continuity of your workflow.

sdxl tuple pass Output Parameters:

sdxl tuple

The sdxl tuple output parameter returns the SDXL_TUPLE that was passed into the node. If an SDXL tuple was provided as input, the same tuple is returned. If no input was provided or if the input was None, the node returns an empty SDXL_TUPLE placeholder. This output is crucial for maintaining the flow of data in your AI art projects, ensuring that the SDXL tuple is available for subsequent nodes and processes.

sdxl tuple pass Usage Tips:

  • Ensure that the sdxl tuple input is correctly connected to the source node that generates or holds the SDXL tuple data to avoid unnecessary placeholders.
  • Use this node in remote targeting scenarios to maintain the integrity of your SDXL tuple data as it passes through different stages of your workflow.

sdxl tuple pass Common Errors and Solutions:

Missing SDXL Tuple Input

  • Explanation: The node did not receive an sdxl tuple input.
  • Solution: Verify that the input connection to the sdxl tuple parameter is correctly established and that the source node is providing the expected data.

Invalid SDXL Tuple Structure

  • Explanation: The provided sdxl tuple does not conform to the expected SDXL_TUPLE structure.
  • Solution: Ensure that the input data matches the required SDXL_TUPLE format. Check the source node for any discrepancies in the data structure.

Empty SDXL Tuple Placeholder

  • Explanation: The node returned an empty SDXL_TUPLE placeholder because no valid input was provided.
  • Solution: If an empty placeholder is not desired, make sure to provide a valid sdxl tuple input to the node.

sdxl tuple pass Related Nodes

Go back to the extension to check out more related nodes.
AegisFlow Utility Nodes
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.