ComfyUI Node: Upscale Models Selector v2

Upscale Models Selector v2:

The SeargeUpscaleModels node is designed to facilitate the upscaling of images within the ComfyUI framework, specifically tailored for AI artists who work with high-resolution image processing. This node allows you to configure various upscaling models to enhance image details and resolution. By leveraging different upscalers, you can achieve high-quality results that maintain the integrity and detail of the original image. The node is particularly useful for tasks that require precise and high-resolution outputs, such as digital art, photo enhancement, and other creative applications. It provides a streamlined way to manage and apply multiple upscaling models, ensuring that your images are processed efficiently and effectively.

Upscale Models Selector v2 Input Parameters:

detail_processor

The detail_processor parameter allows you to select an upscaling model specifically for enhancing the fine details of your image. This model is typically a 1x ESRGAN model, which means it does not change the image resolution but focuses on improving the detail quality. This parameter is crucial for tasks where maintaining and enhancing fine details is important. The available options are provided by UI.UPSCALERS_1x_WITH_NONE().

high_res_upscaler

The high_res_upscaler parameter is used to select an upscaling model for increasing the resolution of your image to a higher scale, typically 4x. This model is essential for tasks that require a significant increase in image resolution while maintaining quality. The available options are provided by UI.UPSCALERS_4x_WITH_NONE().

primary_upscaler

The primary_upscaler parameter allows you to choose the main upscaling model for your image. This model is also typically a 4x ESRGAN model and is used to perform the initial upscaling of the image. It is crucial for achieving the desired resolution and quality in the first stage of the upscaling process. The available options are provided by UI.UPSCALERS_4x_WITH_NONE().

secondary_upscaler

The secondary_upscaler parameter is used to select an additional upscaling model that works in conjunction with the primary upscaler. This model is also typically a 4x ESRGAN model and is used to further refine and enhance the upscaled image. It is particularly useful for blending different upscaling techniques to achieve optimal results. The available options are provided by UI.UPSCALERS_4x_WITH_NONE().

data (optional)

The data parameter is an optional input that allows you to provide a data stream (SRG_DATA_STREAM) for the upscaling process. This can be used to pass additional information or context to the node, enhancing its functionality and flexibility.

Upscale Models Selector v2 Output Parameters:

data

The data output parameter returns a data stream (SRG_DATA_STREAM) that contains the results of the upscaling process. This output includes the configurations and results from the selected upscaling models, allowing you to use the enhanced image in subsequent nodes or processes. It is essential for integrating the upscaled image into your workflow and ensuring that the enhancements are applied correctly.

Upscale Models Selector v2 Usage Tips:

• To achieve the best results, ensure that the detail_processor is set to a 1x ESRGAN model to enhance fine details without altering the image resolution.
• Use the high_res_upscaler for significant resolution increases, especially when working with low-resolution images that need to be scaled up to a higher resolution.
• Combine the primary_upscaler and secondary_upscaler to blend different upscaling techniques and achieve a more refined and high-quality output.
• Experiment with different combinations of upscalers to find the optimal settings for your specific use case and image type.

Upscale Models Selector v2 Common Errors and Solutions:

Warning: high res upscaler should be a 4x ESRGAN model

• Explanation: This warning indicates that the selected high-resolution upscaler is not a 4x ESRGAN model, which may result in suboptimal upscaling performance.
• Solution: Ensure that the high_res_upscaler parameter is set to a 4x ESRGAN model to achieve the best results.

Warning: detail processor should be a 1x ESRGAN model

• Explanation: This warning indicates that the selected detail processor is not a 1x ESRGAN model, which may lead to inconsistencies in the detail enhancement process.
• Solution: Set the detail_processor parameter to a 1x ESRGAN model to maintain the integrity and quality of the fine details in your image.

Warning: primary upscaler should be a 4x ESRGAN model

• Explanation: This warning indicates that the selected primary upscaler is not a 4x ESRGAN model, which may affect the initial upscaling quality.
• Solution: Ensure that the primary_upscaler parameter is set to a 4x ESRGAN model to achieve the desired resolution and quality in the first stage of upscaling.

Warning: secondary upscaler should be a 4x ESRGAN model

• Explanation: This warning indicates that the selected secondary upscaler is not a 4x ESRGAN model, which may impact the refinement and enhancement of the upscaled image.
• Solution: Set the secondary_upscaler parameter to a 4x ESRGAN model to ensure optimal refinement and quality in the final upscaled image.