ComfyUI  >  Nodes  >  AnimateDiff Evolved >  Set Unmasked Conds 🎭🅐🅓

ComfyUI Node: Set Unmasked Conds 🎭🅐🅓

Class Name

ADE_PairedConditioningSetUnmaskedAndCombine

Category
Animate Diff 🎭🅐🅓/conditioning
Author
Kosinkadink (Account age: 3712 days)
Extension
AnimateDiff Evolved
Latest Updated
6/17/2024
Github Stars
2.2K

How to Install AnimateDiff Evolved

Install this extension via the ComfyUI Manager by searching for  AnimateDiff Evolved
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter AnimateDiff Evolved 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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Set Unmasked Conds 🎭🅐🅓 Description

Enhances AI art conditioning by combining unmasked data with existing data for richer, nuanced outputs.

Set Unmasked Conds 🎭🅐🅓:

The ADE_PairedConditioningSetUnmaskedAndCombine node is designed to enhance the conditioning process in AI art generation by combining existing conditioning data with new, unmasked conditioning data. This node is particularly useful for scenarios where you want to merge two sets of conditioning data without applying any masks, allowing for a more straightforward and unaltered combination. By leveraging this node, you can ensure that the conditioning data retains its original characteristics while still benefiting from the additional information provided by the new conditioning data. This can be especially beneficial in creating more nuanced and detailed AI-generated art, as it allows for a richer and more complex conditioning input.

Set Unmasked Conds 🎭🅐🅓 Input Parameters:

positive

This parameter represents the existing positive conditioning data that you want to combine with new conditioning data. It is crucial for defining the initial state of the positive conditioning before any new data is added.

negative

This parameter represents the existing negative conditioning data that you want to combine with new conditioning data. It is essential for defining the initial state of the negative conditioning before any new data is added.

positive_DEFAULT

This parameter represents the new positive conditioning data that will be combined with the existing positive conditioning data. It serves as the additional information that will be merged to enhance the positive conditioning.

negative_DEFAULT

This parameter represents the new negative conditioning data that will be combined with the existing negative conditioning data. It serves as the additional information that will be merged to enhance the negative conditioning.

opt_lora_hook

This optional parameter allows you to apply a LoRA (Low-Rank Adaptation) hook to the new conditioning data before combining it with the existing data. This can be useful for fine-tuning the conditioning data to better suit specific needs or preferences.

Set Unmasked Conds 🎭🅐🅓 Output Parameters:

positive

This output parameter provides the final combined positive conditioning data. It represents the result of merging the existing positive conditioning with the new positive conditioning data, potentially enhanced by any applied LoRA hooks.

negative

This output parameter provides the final combined negative conditioning data. It represents the result of merging the existing negative conditioning with the new negative conditioning data, potentially enhanced by any applied LoRA hooks.

Set Unmasked Conds 🎭🅐🅓 Usage Tips:

  • To achieve the best results, ensure that the new conditioning data (positive_DEFAULT and negative_DEFAULT) is well-aligned with the existing conditioning data (positive and negative) in terms of content and context.
  • Utilize the opt_lora_hook parameter to fine-tune the new conditioning data before combining it with the existing data, especially if you are looking to achieve specific artistic effects or styles.

Set Unmasked Conds 🎭🅐🅓 Common Errors and Solutions:

"Mismatch in conditioning data types"

  • Explanation: This error occurs when the types of the existing and new conditioning data do not match.
  • Solution: Ensure that both the existing and new conditioning data are of the same type before attempting to combine them.

"LoRA hook application failed"

  • Explanation: This error occurs when there is an issue applying the LoRA hook to the new conditioning data.
  • Solution: Verify that the LoRA hook is correctly configured and compatible with the new conditioning data. If the issue persists, try using a different LoRA hook or adjusting the parameters.

"Invalid conditioning data"

  • Explanation: This error occurs when the provided conditioning data is invalid or corrupted.
  • Solution: Check the integrity and validity of the conditioning data before using it. Ensure that the data is correctly formatted and free from errors.

Set Unmasked Conds 🎭🅐🅓 Related Nodes

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