ComfyUI Node: MMH3 Latent Upscale with Model Params

MMH3 Latent Upscale with Model Params:

The MMH3LatentUpscaleWithModelParams node is designed to enhance the resolution of latent video data using advanced 3D upscaling techniques. This node leverages the H3 3D latent upscale settings, which are specifically tailored for the 'MMH3 Ultimate Upscale' node. By utilizing the minimax_h3_latent_upscaler_3d checkpoints, this node provides a sophisticated method for increasing the spatial dimensions of video latents, ensuring that the upscaled output maintains high quality and fidelity. Unlike standard latent upscalers, the H3 model is optimized for specific architectures, making it a powerful tool for artists looking to improve the visual quality of their video projects. The node's primary goal is to offer a seamless and efficient way to upscale video latents, making it an essential component for those working with high-resolution video content.

MMH3 Latent Upscale with Model Params Input Parameters:

model_name

This parameter specifies the H3 latent upscale model file to be used, located in the latent_upscale_models folder. It is crucial to select a compatible model, such as minimax_h3_latent_upscaler_3d_*.safetensors, as using a non-H3 model may result in errors. This choice directly impacts the quality and characteristics of the upscaling process.

width

Defines the target pixel width of the upscaled frame, with a default value of 1280 pixels. The width must be a multiple of 32, ranging from a minimum of 64 to a maximum of 4096 pixels. This parameter ensures that the upscaled output matches the desired resolution and is compatible with the H3 upscaler's grid requirements.

height

Sets the target pixel height of the upscaled frame, with a default value of 704 pixels. Similar to the width, the height must be a multiple of 32, with a range from 64 to 4096 pixels. This parameter is essential for achieving the correct aspect ratio and resolution in the upscaled output.

device

Determines the hardware device used for processing, with options including cuda for GPU acceleration and cpu for CPU processing. The default setting is cuda, which is recommended for faster performance and efficiency during the upscaling process.

precision

Specifies the numerical precision used in computations, with options such as fp16, fp32, and bf16. The default is fp16, which offers a balance between performance and precision. Choosing the appropriate precision can affect the speed and memory usage of the upscaling operation.

MMH3 Latent Upscale with Model Params Output Parameters:

latent_upscale_param

This output provides the upscale settings that are consumed by the 'MMH3 Ultimate Upscale' node. It encapsulates all the necessary parameters and configurations required to perform the upscaling operation, ensuring that the process is executed smoothly and efficiently.

MMH3 Latent Upscale with Model Params Usage Tips:

• Ensure that the model_name parameter is set to a compatible H3 model to avoid errors and achieve optimal results.
• Use cuda as the device option for faster processing, especially when working with large video files.
• Adjust the width and height parameters to match the desired output resolution, keeping in mind the requirement for multiples of 32. - Experiment with different precision settings to find the best balance between performance and quality for your specific project needs.

MMH3 Latent Upscale with Model Params Common Errors and Solutions:

Model file not found: <path>

• Explanation: This error occurs when the specified model file cannot be located in the latent_upscale_models folder.
• Solution: Verify that the model file exists in the correct directory and that the model_name parameter is set correctly.

Checkpoint '<name>' is not an H3 latent upscaler (expected 24 input channels, got <channels>).

• Explanation: This error indicates that the selected model is incompatible with the H3 upscaling process due to a mismatch in input channels.
• Solution: Ensure that the model_name parameter points to a valid H3 model, such as minimax_h3_latent_upscaler_3d_*.safetensors, which supports the required input channels.