ComfyUI Node: ✂️ Resize Image Before Inpainting

✂️ Resize Image Before Inpainting:

InpaintResize is a powerful node designed to resize images before inpainting using the Inpaint Crop and Stitch method. This node is particularly useful for AI artists who need to efficiently inpaint images without altering unmasked areas. By resizing the image, mask, and blend mask, InpaintResize ensures that the inpainting process is both fast and effective. The node supports various resizing modes, including ensuring minimum size and scaling by a factor, allowing for flexible and precise control over the final output dimensions. Additionally, it can handle context areas specified by expand pixels and expand factor or through an optional context mask, making it versatile for different inpainting scenarios.

✂️ Resize Image Before Inpainting Input Parameters:

image

The image parameter represents the input image that you want to resize and inpaint. This is the primary visual content that will undergo the resizing process.

mask

The mask parameter is used to define the areas of the image that need inpainting. It helps in identifying the regions that should be modified while keeping the rest of the image intact.

rescale_algorithm

The rescale_algorithm parameter determines the algorithm used for resizing the image. Options include "nearest", "bilinear", "bicubic", and "bislerp", with "bicubic" being the default. Each algorithm offers different levels of quality and performance, affecting the smoothness and accuracy of the resized image.

mode

The mode parameter specifies the resizing mode. Options are "ensure minimum size" and "factor". "Ensure minimum size" ensures that the image dimensions are at least the specified minimum width and height, while "factor" scales the image by a specified rescale factor. The default mode is "ensure minimum size".

min_width

The min_width parameter sets the minimum width for the resized image when using the "ensure minimum size" mode. The default value is 1024, with a minimum of 0 and a maximum defined by the system's maximum resolution.

min_height

The min_height parameter sets the minimum height for the resized image when using the "ensure minimum size" mode. The default value is 1024, with a minimum of 0 and a maximum defined by the system's maximum resolution.

rescale_factor

The rescale_factor parameter is used in the "factor" mode to scale the image by a specific factor. The default value is 1.00, with a range from 0.01 to 100.0, allowing for both upscaling and downscaling of the image.

optional_context_mask

The optional_context_mask parameter allows you to provide an additional mask to specify the context area for inpainting. This mask can help in defining more complex regions for inpainting beyond the primary mask.

✂️ Resize Image Before Inpainting Output Parameters:

image

The image output parameter is the resized version of the input image, ready for inpainting. This output ensures that the image dimensions are adjusted according to the specified parameters, maintaining the quality and integrity of the original content.

mask

The mask output parameter is the resized version of the input mask. This ensures that the mask aligns perfectly with the resized image, allowing for accurate inpainting of the specified regions.

context_mask

The context_mask output parameter is the resized version of the optional context mask, if provided. This output helps in defining the context area for inpainting, ensuring that the inpainting process considers the specified regions accurately.

✂️ Resize Image Before Inpainting Usage Tips:

• Use the "ensure minimum size" mode to maintain a minimum resolution for your images, ensuring they meet specific size requirements for your projects.
• Experiment with different rescale algorithms to find the best balance between performance and image quality for your specific use case.
• Utilize the optional context mask to define complex inpainting regions, providing more control over the inpainting process.

✂️ Resize Image Before Inpainting Common Errors and Solutions:

"Invalid rescale factor"

• Explanation: The rescale factor provided is outside the acceptable range (0.01 to 100.0).
• Solution: Ensure that the rescale factor is within the specified range and try again.

"Image dimensions too small"

• Explanation: The original image dimensions are smaller than the specified minimum width and height.
• Solution: Use the "ensure minimum size" mode to scale up the image to meet the minimum size requirements.

"Unsupported rescale algorithm"

• Explanation: The rescale algorithm specified is not one of the supported options.
• Solution: Choose from the supported rescale algorithms: "nearest", "bilinear", "bicubic", or "bislerp".

"Context mask dimensions mismatch"

• Explanation: The dimensions of the optional context mask do not match the dimensions of the input image.
• Solution: Ensure that the optional context mask has the same dimensions as the input image before providing it to the node.