ComfyUI Node: Hunyuan DiT Size Conditioning (advanced)

Hunyuan DiT Size Conditioning (advanced):

The HYDiTSrcSizeCond node is designed to enhance the conditioning of your AI models by incorporating specific size parameters into the conditioning data. This node allows you to specify the width and height of the source image, which can be particularly useful for models that need to adapt to different image dimensions. By adding these size conditions, the node helps ensure that the model can better understand and process images of varying sizes, leading to more accurate and contextually relevant outputs. This advanced functionality is especially beneficial for tasks that involve image generation or manipulation, where the dimensions of the source image play a crucial role in the final result.

Hunyuan DiT Size Conditioning (advanced) Input Parameters:

cond

This parameter represents the conditioning data that will be modified by the node. It is a required input and typically contains various attributes that guide the model's behavior during processing. The conditioning data is updated to include the specified width and height, allowing the model to take these dimensions into account.

width

The width parameter specifies the width of the source image in pixels. It is an integer value with a default of 1024.0 pixels. The minimum value for this parameter is 0, and the maximum value is 8192, with a step size of 16. Adjusting the width can impact how the model interprets and processes the image, making it crucial for tasks that require precise control over image dimensions.

height

The height parameter specifies the height of the source image in pixels. Similar to the width parameter, it is an integer value with a default of 1024.0 pixels. The minimum value is 0, and the maximum value is 8192, with a step size of 16. Setting the height appropriately ensures that the model can accurately handle images of different sizes, which is essential for generating high-quality outputs.

Hunyuan DiT Size Conditioning (advanced) Output Parameters:

cond

The output parameter cond is the modified conditioning data that now includes the specified width and height. This updated conditioning data is used by the model to better understand and process images based on their dimensions. By incorporating the size conditions, the model can produce more accurate and contextually appropriate results.

Hunyuan DiT Size Conditioning (advanced) Usage Tips:

• Ensure that the width and height parameters are set according to the dimensions of the source images you are working with to achieve optimal results.
• Use this node in conjunction with other conditioning nodes to provide comprehensive guidance to the model, enhancing its ability to generate high-quality outputs.

Hunyuan DiT Size Conditioning (advanced) Common Errors and Solutions:

Invalid width or height value

• Explanation: The width or height value provided is outside the acceptable range (0 to 8192) or not a multiple of 16. - Solution: Ensure that the width and height values are within the specified range and are multiples of 16.

Missing conditioning data

• Explanation: The cond parameter is not provided or is empty.
• Solution: Make sure to pass valid conditioning data to the node. This data is essential for the node to function correctly.

Inconsistent dimensions

• Explanation: The specified width and height do not match the actual dimensions of the source image.
• Solution: Verify that the width and height parameters accurately reflect the dimensions of the source image to avoid processing errors.