Amazing Upscale Node Workflow for DIT Model

This workflow is designed for simple logic amazing upscale nodes in the DIT model. It supports common applications for Flux, Hunyuan, and SD3. The workflow tiles the initial image into smaller pieces, uses an image-interrogator to extract prompts for each tile, and performs an accurate upscale process. This approach minimizes hallucinations and ensures proper condition handling.

We hope you enjoy using it!

What’s New

TeaCache Sampler Integration for Hunyuan Video

Thanks to the contributions from the TeaCache code repository (ali-vilab/TeaCache) and code references from facok/ComfyUI-TeaCacheHunyuanVideo, we’ve added support for the TeaCache sampler.

How to Use:

Replace the samplercustomadvanced node in the official workflow with the TeaCache sampler node. Adjust the acceleration rate as needed to start using it.

Performance:

In testing with an NVIDIA 4090, rendering a 720×480 resolution video with 65 frames took only 55 seconds using a speedup factor of x2.1. This is approximately twice as fast as the original method.

Caution:

While the TeaCache sampler significantly accelerates processing, it may reduce image quality and dynamic effects. Use with discretion.

Precision Support:

Supports bf16 and fp8.

https://github.com/user-attachments/assets/af06b9d3-9c84-4a83-ba90-eb4ec4bb2e99

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Instructions

1. Image Tile Batch Node

This node cuts an image into pieces automatically based on your specified width and height. It also records the necessary information for further processing.

| Parameter | Description |

|———–|————————————-|

| Width | The width of each tile. |

| Height | The height of each tile. |

| Image | The image to be tiled. |

Node View:

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2. Image Assembly Node

This node reassembles image tiles back into a complete image while preventing visible lines between the tiles. It operates in pixel mode.

| Parameter | Description |

|————-|—————————————————————|

| Tiles | Input the tiled image batch. Replace individual tiles if needed. |

| Position | Paired with the Image Tile Batch Node. |

| Original Size | Paired with the Image Tile Batch Node. |

| Grid Size | Paired with the Image Tile Batch Node. |

| Padding | The padding value used to merge the image pieces. |

Node View:

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3. Tile Image Size Node

This node calculates the resolution of each tile based on the original image dimensions and your specified width/height factors.

| Parameter | Description |

|——————-|——————————————————————–|

| Width Factor | Divides the image width into equal parts. |

| Height Factor | Divides the image height into equal parts. |

For example: A width factor of 2 and a height factor of 3 will divide the image into 6 equal tiles.

Node View:

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4. Coordinate Splitter Node

This node converts position information into coordinates and connects them to the corresponding positions.

Node View:

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5. Cond to Batch Node

This node converts condition lists into batches. It is reserved for future functionality expansion and connects to the conditions.

Node View:

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6. Condition Merge Node

This node merges all tiled conditions into one and prepares them for building the final image. It connects to the Coordinate Splitter Node and Cond to Batch Node.

Node View:

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Examples

Pixel Example (Recommended)

Latent Example

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ControlNet Tile Integration

This workflow supports ControlNet Tile for enhanced upscaling. Here’s an example of using tiles with the Hunyuan DIT model:

| Resource | Link |

|———-|———————————————————————————————–|

| Tile Example | Hugging Face Tile |

| Hunyuan 1.2 | Download Hunyuan 1.2 |

Workflow Example:

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