ComfyUI Node: InstructIR Process Image

InstructIR Process Image:

The InstructIRProcess node is designed to enhance and modify images based on textual instructions. This node leverages advanced image processing models to interpret and apply the desired changes to an image, making it a powerful tool for AI artists looking to refine their visual content. Whether you need to adjust the brightness, remove fog, enhance colors, or improve the overall quality of an image, this node can handle a variety of tasks with ease. By providing a prompt or a custom instruction, you can guide the model to perform specific edits, ensuring that the final output aligns with your creative vision. This node simplifies complex image editing tasks, making it accessible even to those without extensive technical knowledge.

InstructIR Process Image Input Parameters:

model

This parameter expects an INSTRUCTIR_MODEL type, which is the pre-trained model used for processing the image. The model interprets the given prompt and applies the corresponding edits to the image. It is essential for the execution of the node as it contains the necessary algorithms and data for image processing.

image

This parameter accepts either an IMAGE or an IMAGE_URL. It represents the input image that you want to edit. The image can be provided directly as a file or through a URL. The quality and resolution of the input image can impact the final output, so it is advisable to use high-quality images for better results.

prompt

This parameter is a list of predefined textual instructions that guide the model on how to edit the image. Options include:

• "please I want this image for my photo album, can you edit it as a photographer"
• "my image is too dark, can you fix it?"
• "How can I remove the fog and mist from this photo?"
• "enhance the colors"
• "I need to enhance the size and quality of this image." The default value is "enhance the colors". This parameter allows you to select a common editing task without needing to write a custom instruction.

custom_prompt

This parameter is a STRING that allows you to provide a custom textual instruction for the model. If specified, it overrides the prompt parameter. This is useful for more specific or unique editing requests that are not covered by the predefined prompts. The default value is an empty string, and it supports multiline input for detailed instructions.

InstructIR Process Image Output Parameters:

IMAGE

The output parameter is of type IMAGE. It represents the edited image after the model has applied the specified changes based on the provided prompt or custom instruction. The output image is in RGB format and is ready for further use or display. This parameter is crucial as it provides the final visual result of the node's processing.

InstructIR Process Image Usage Tips:

• Ensure that the input image is of high quality to achieve the best results from the model.
• Use the predefined prompts for common editing tasks to save time and effort.
• For specific or unique editing needs, utilize the custom_prompt parameter to provide detailed instructions.
• Experiment with different prompts to see how the model interprets and applies various edits to your images.

InstructIR Process Image Common Errors and Solutions:

"Model not found"

• Explanation: This error occurs when the specified model is not available or cannot be loaded.
• Solution: Ensure that the model files are correctly downloaded and placed in the appropriate directory. Verify the paths and filenames.

"Invalid image format"

• Explanation: This error occurs when the input image is not in a supported format.
• Solution: Check that the input image is in a valid format such as JPEG or PNG. Convert the image to a supported format if necessary.

"Prompt not recognized"

• Explanation: This error occurs when the provided prompt or custom instruction is not understood by the model.
• Solution: Use one of the predefined prompts or ensure that the custom prompt is clear and concise. Avoid overly complex or ambiguous instructions.

"Device not supported"

• Explanation: This error occurs when the specified device (CPU or CUDA) is not available or supported.
• Solution: Verify that the device is correctly specified and available. Ensure that CUDA is properly installed and configured if using GPU acceleration.