ComfyUI  >  Nodes  >  ComfyUI-RefUNet >  REF] Ref Attn Map SD1

ComfyUI Node: REF] Ref Attn Map SD1

Class Name

CustomRefMapSD1

Category
reference/custom
Author
logtd (Account age: 177 days)
Extension
ComfyUI-RefUNet
Latest Updated
8/14/2024
Github Stars
0.0K

How to Install ComfyUI-RefUNet

Install this extension via the ComfyUI Manager by searching for  ComfyUI-RefUNet
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-RefUNet 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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REF] Ref Attn Map SD1 Description

Create customized attention maps for AI art projects by specifying model layers for focus, enhancing art quality and relevance.

REF] Ref Attn Map SD1:

The CustomRefMapSD1 node is designed to help you create a customized attention map for your AI art projects. This node allows you to specify which parts of the model's input, middle, and output layers should be included in the attention map. By enabling or disabling specific layers, you can fine-tune the model's focus, potentially enhancing the quality and relevance of the generated art. This node is particularly useful for those who want more control over the model's attention mechanism, enabling more precise and targeted artistic outputs.

REF] Ref Attn Map SD1 Input Parameters:

input_0

This parameter is a boolean that determines whether the first input layer is included in the attention map. The default value is True.

input_1

This parameter is a boolean that determines whether the second input layer is included in the attention map. The default value is True.

input_2

This parameter is a boolean that determines whether the third input layer is included in the attention map. The default value is True.

input_3

This parameter is a boolean that determines whether the fourth input layer is included in the attention map. The default value is True.

input_4

This parameter is a boolean that determines whether the fifth input layer is included in the attention map. The default value is True.

input_5

This parameter is a boolean that determines whether the sixth input layer is included in the attention map. The default value is True.

middle_0

This parameter is a boolean that determines whether the middle layer is included in the attention map. The default value is True.

output_0

This parameter is a boolean that determines whether the first output layer is included in the attention map. The default value is True.

output_1

This parameter is a boolean that determines whether the second output layer is included in the attention map. The default value is True.

output_2

This parameter is a boolean that determines whether the third output layer is included in the attention map. The default value is True.

output_3

This parameter is a boolean that determines whether the fourth output layer is included in the attention map. The default value is True.

output_4

This parameter is a boolean that determines whether the fifth output layer is included in the attention map. The default value is True.

output_5

This parameter is a boolean that determines whether the sixth output layer is included in the attention map. The default value is True.

output_6

This parameter is a boolean that determines whether the seventh output layer is included in the attention map. The default value is True.

output_7

This parameter is a boolean that determines whether the eighth output layer is included in the attention map. The default value is True.

output_8

This parameter is a boolean that determines whether the ninth output layer is included in the attention map. The default value is True.

REF] Ref Attn Map SD1 Output Parameters:

ATTN_MAP

The output parameter is an attention map that consists of a set of tuples. Each tuple indicates a specific layer (input, middle, or output) and its index that has been included in the attention map. This map is used to guide the model's attention mechanism, helping it focus on the specified layers during the generation process.

REF] Ref Attn Map SD1 Usage Tips:

  • To achieve a more focused attention map, selectively disable some of the input, middle, or output layers by setting their corresponding boolean parameters to False.
  • Experiment with different combinations of enabled and disabled layers to see how it affects the quality and style of the generated art.
  • Use this node in conjunction with other nodes in the reference/custom category to create a more customized and refined attention mechanism.

REF] Ref Attn Map SD1 Common Errors and Solutions:

KeyError: 'input_X'

  • Explanation: This error occurs when an invalid input layer index is specified.
  • Solution: Ensure that the input layer indices range from 0 to 5.

KeyError: 'middle_X'

  • Explanation: This error occurs when an invalid middle layer index is specified.
  • Solution: Ensure that the middle layer index is 0.

KeyError: 'output_X'

  • Explanation: This error occurs when an invalid output layer index is specified.
  • Solution: Ensure that the output layer indices range from 0 to 8.

TypeError: 'NoneType' object is not iterable

  • Explanation: This error occurs when the input parameters are not correctly passed to the node.
  • Solution: Ensure that all required boolean parameters are provided and have valid boolean values (True or False).

REF] Ref Attn Map SD1 Related Nodes

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