> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-context-windows.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# WAN Context Windows (Manual) - ComfyUI Built-in Node Documentation

> WAN Context Windows (Manual) node is a specialized context window manual control node optimized for WAN (Wide Attention Network) models. It automatically converts standard context parameters to WAN-compatible format, implementing sliding window sampling for ultra-long sequence generation.

The `WAN Context Windows (Manual)` node is specifically designed for WAN models. It automatically adjusts parameters to allow WAN models to better handle long content.

**How it works:**
Like using multiple segmented samples to generate different segments of a video, and finally synthesizing a complete video\*\*

* Each window looks at a part (window processing)
* Windows overlap to ensure coherence (overlap areas)
* Finally, all parts are spliced into a complete image (result fusion)

```mermaid
%%{init: {"theme": "base", "themeVariables": {"primaryColor": "#444444", "primaryTextColor": "#ffffff", "primaryBorderColor": "#cccccc", "lineColor": "transparent", "sectionBkgColor": "#f8f9fa", "altSectionBkgColor": "#e9ecef", "gridColor": "transparent", "section0": "#555555", "section1": "#777777", "section2": "#E6F3FF", "section3": "#bbbbbb", "activeTaskBkgColor": "#444444", "activeTaskBorderColor": "#cccccc", "cScale0": "#555555", "cScale1": "#777777", "cScale2": "#E6F3FF", "critBkgColor": "#E6F3FF", "critBorderColor": "#B3D9FF", "xyColor": "#333333", "axisTextColor": "#333333", "gridLineColor": "transparent"}}}%%
gantt
    title Context Window Processing Example (length=21, overlap=5)
    dateFormat X
    axisFormat %s
    
    section Original Sequence
    Complete Content (length=81) : 0, 81
    
    section Window Processing
    Window 1 (0-20) : active, w1, 0, 21
    Window 2 (16-36) : active, w2, 16, 37
    Window 3 (32-52) : active, w3, 32, 53
    Window 4 (48-68) : active, w4, 48, 69
    Window 5 (64-81) : active, w5, 64, 81
    
    section Overlap Areas
    Overlap 1-2 : crit, o1, 16, 21
    Overlap 2-3 : crit, o2, 32, 37
    Overlap 3-4 : crit, o3, 48, 53
    Overlap 4-5 : crit, o4, 64, 69
```

## Input Parameters

| Parameter Name     | Function             | Simple Explanation                                                                                                             |
| ------------------ | -------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
| `model`            | WAN Model Input      | The WAN model you want to process                                                                                              |
| `context_length`   | Window Size          | Length of each small window, WAN will automatically adjust to multiples of 4. The larger the range the more memory it occupies |
| `context_overlap`  | Overlap Size         | Overlapping part between windows, more overlap means smoother effect but slower processing                                     |
| `context_schedule` | Processing Method    | Choose how windows move, four modes available                                                                                  |
| `context_stride`   | Movement Step        | How much the window moves each time, only useful in uniform mode                                                               |
| `closed_loop`      | Loop Mode            | Whether to connect the last window back to the first, only useful in loop mode                                                 |
| `fuse_method`      | Merge Method         | Choose how overlapping parts merge, affects final effect                                                                       |
| `dim`              | Processing Dimension | Fixed at 2, specifically optimized for WAN models                                                                              |

### Scheduling Strategy Selection

| Scheduling Strategy   | Working Method                            |
| --------------------- | ----------------------------------------- |
| **STATIC\_STANDARD**  | Window positions are fixed                |
| **UNIFORM\_STANDARD** | Windows move uniformly                    |
| **UNIFORM\_LOOPED**   | Windows move in a loop                    |
| **BATCHED**           | Multiple windows processed simultaneously |

### Merge Methods

| Merge Method        | Weight Distribution Method                          | Characteristics                                         |
| ------------------- | --------------------------------------------------- | ------------------------------------------------------- |
| **PYRAMID**         | Middle part most important, decreasing toward edges | Most natural effect, recommended                        |
| **RELATIVE**        | Intelligent weight adjustment                       | Automatically adjusts based on position, natural effect |
| **FLAT**            | Average weight distribution                         | Simple and direct, suitable for uniform content         |
| **OVERLAP\_LINEAR** | Linear gradient                                     | Smoother transition                                     |

## Output Results

| Parameter Name | Data Type | Description                                                       |
| -------------- | --------- | ----------------------------------------------------------------- |
| `model`        | MODEL     | Processed WAN model, can be directly connected to sampler for use |

### WAN Parameter Automatic Adjustment

```mermaid
graph LR
    subgraph Your Input Values
        A1[Window Size: 81]
        A2[Overlap: 30]
    end
    
    subgraph Automatic Adjustment
        B1[Adjust to multiples of 4]
        B2[Adjust to multiples of 4]
        B3[Fixed at 2]
    end
    
    subgraph WAN Actual Usage
        C1[Actual Size: 21]
        C2[Actual Overlap: 8]
        C3[Dimension: 2]
    end
    
    A1 --> B1 --> C1
    A2 --> B2 --> C2
    B3 --> C3
    
    style A1 fill:#172DD7,color:#ffffff
    style A2 fill:#172DD7,color:#ffffff
    style C1 fill:#F0FF41,color:#000000
    style C2 fill:#F0FF41,color:#000000
    style C3 fill:#F0FF41,color:#000000
```

## Typical Usage

```mermaid
graph LR
    A[Model Loader (WAN Model)] --> B[WAN Context Windows Manual]
    B --> C[KSampler]
    C --> D[Final Output]
    
    style A fill:#172DD7,color:#ffffff
    style B fill:#E8F234,color:#000000
    style C fill:#2E41E7,color:#ffffff
    style D fill:#F0FF41,color:#000000
```

**Usage Steps**:

1. Load WAN model
2. Connect to WAN Context Windows Manual node
3. Connect to sampler to generate results