ComfyUI Node: ✂️ Inpaint Crop

✂️ Inpaint Crop:

InpaintCrop is a powerful node designed to enhance the efficiency and quality of inpainting tasks by cropping the image before sampling and stitching it back together afterward. This method ensures that the unmasked areas of the image remain unaltered, providing a more seamless and natural result. The node allows you to specify the context area through expand pixels, expand factor, or an optional separate mask. It supports various size modes, including free size, forced size, and ranged size, making it versatile for different inpainting needs. By focusing on the masked area and its immediate surroundings, InpaintCrop optimizes processing time and resource usage, making it an essential tool for AI artists looking to achieve high-quality inpainting results efficiently.

✂️ Inpaint Crop Input Parameters:

image

The image parameter represents the input image that you want to inpaint. This image will be cropped based on the specified mask and context area before the inpainting process begins. The quality and resolution of the input image can significantly impact the final result.

mask

The mask parameter defines the areas of the image that need to be inpainted. It is a binary mask where the regions to be inpainted are marked. The mask helps the node identify which parts of the image require modification and which parts should remain untouched.

blend_mask

The blend_mask parameter is used to blend the inpainted area with the original image. This mask helps in creating a smooth transition between the inpainted region and the untouched parts of the image, ensuring a more natural and seamless result.

rescale_factor

The rescale_factor parameter determines the scaling factor applied to the image and masks before the inpainting process. This can help in adjusting the resolution of the inpainted area to match the original image more closely. The default value is typically 1.0, meaning no rescaling.

rescale_algorithm

The rescale_algorithm parameter specifies the algorithm used for rescaling the image and masks. Different algorithms can produce varying levels of quality and performance, so choosing the right one can impact the final result.

context_expand_factor

The context_expand_factor parameter controls how much the context area around the masked region is expanded. This helps in providing additional context to the inpainting algorithm, which can improve the quality of the inpainted result. The value is typically a multiplier, with a default value of 1.0.

context_expand_pixels

The context_expand_pixels parameter specifies the number of pixels by which the context area around the masked region is expanded. This provides a fixed amount of additional context to the inpainting algorithm, which can be useful for fine-tuning the inpainting process.

blend_pixels

The blend_pixels parameter determines the number of pixels used for blending the inpainted area with the original image. A higher value can create a smoother transition but may also affect the sharpness of the inpainted region.

mode

The mode parameter defines the size mode for the inpainting process. It can be set to "free size," "forced size," or "ranged size," each offering different levels of control over the size of the inpainted area. The choice of mode can impact the flexibility and constraints of the inpainting process.

force_width

The force_width parameter specifies the exact width of the inpainted area when the mode is set to "forced size." This ensures that the inpainted region has a consistent width, which can be useful for specific inpainting tasks.

force_height

The force_height parameter specifies the exact height of the inpainted area when the mode is set to "forced size." This ensures that the inpainted region has a consistent height, which can be useful for specific inpainting tasks.

min_width

The min_width parameter defines the minimum width of the inpainted area when the mode is set to "ranged size." This provides a lower bound for the width, ensuring that the inpainted region is not too narrow.

max_width

The max_width parameter defines the maximum width of the inpainted area when the mode is set to "ranged size." This provides an upper bound for the width, ensuring that the inpainted region is not too wide.

min_height

The min_height parameter defines the minimum height of the inpainted area when the mode is set to "ranged size." This provides a lower bound for the height, ensuring that the inpainted region is not too short.

max_height

The max_height parameter defines the maximum height of the inpainted area when the mode is set to "ranged size." This provides an upper bound for the height, ensuring that the inpainted region is not too tall.

padding

The padding parameter specifies the amount of padding applied to the context area. This helps in avoiding smaller results from the sampler and ensures that the inpainted region has enough context for a high-quality result.

✂️ Inpaint Crop Output Parameters:

cropped_image

The cropped_image parameter is the output image that has been cropped based on the specified mask and context area. This image is ready for the inpainting process and contains only the relevant regions that need to be modified.

cropped_mask

The cropped_mask parameter is the output mask that corresponds to the cropped image. It defines the areas within the cropped image that need to be inpainted, ensuring that the inpainting process focuses only on the relevant regions.

✂️ Inpaint Crop Usage Tips:

• Use a high-quality input image to ensure the best possible inpainting results.
• Adjust the context_expand_factor and context_expand_pixels to provide enough context for the inpainting algorithm, which can improve the quality of the inpainted region.
• Experiment with different rescale_algorithm options to find the one that produces the best balance between quality and performance for your specific task.
• Choose the appropriate mode (free size, forced size, or ranged size) based on the level of control you need over the size of the inpainted area.
• Use the blend_pixels parameter to create a smooth transition between the inpainted region and the original image, but be mindful of the impact on sharpness.

✂️ Inpaint Crop Common Errors and Solutions:

"Invalid mask dimensions"

• Explanation: The dimensions of the mask do not match the dimensions of the input image.
• Solution: Ensure that the mask has the same width and height as the input image.

"Rescale factor out of range"

• Explanation: The rescale_factor parameter is set to a value that is too high or too low.
• Solution: Adjust the rescale_factor to a value within a reasonable range, typically between 0.5 and 2.0.

"Invalid mode selection"

• Explanation: The mode parameter is set to an unrecognized value.
• Solution: Ensure that the mode parameter is set to one of the valid options: "free size," "forced size," or "ranged size."

"Padding exceeds image dimensions"

• Explanation: The padding parameter is set to a value that is too large for the input image dimensions.
• Solution: Reduce the padding value to ensure it fits within the dimensions of the input image.

"Forced size dimensions out of range"

• Explanation: The force_width or force_height parameters are set to values that exceed the dimensions of the input image.
• Solution: Adjust the force_width and force_height parameters to values that fit within the dimensions of the input image.