ComfyUI Outpainting Workflow Example
This guide will introduce you to the outpainting workflow in ComfyUI and walk you through an outpainting example
This guide will introduce you to the concept of outpainting in AI image generation and how to create an outpainting workflow in ComfyUI. We will cover:
- Using outpainting workflow to extend an image
- Understanding and using outpainting-related nodes in ComfyUI
- Mastering the basic outpainting process
About Outpainting
In AI image generation, we often encounter situations where an existing image has good composition but the canvas area is too small, requiring us to extend the canvas to get a larger scene. This is where outpainting comes in.
Basically, it requires similar content to Inpainting, but we use different nodes to build the mask.
Outpainting applications include:
- Scene Extension: Expand the scene range of the original image to show a more complete environment
- Composition Adjustment: Optimize the overall composition by extending the canvas
- Content Addition: Add more related scene elements to the original image
ComfyUI Outpainting Workflow Example Explanation
Preparation
1. Model Installation
Please ensure that you have at least one SD1.5 model file in the ComfyUI/models/checkpoints folder. If you are not sure how to install a model, please refer to the Start ComfyUI’s AI Drawing Journey section for instructions on model installation.
You can use the following models:
2. Input Image
Prepare an image you want to extend. In this example, we will use the following image:
3. Outpainting Workflow
Download the image below and drag it into the ComfyUI interface or use the menu Workflow —> Open (Shortcut Ctrl + O) to load this outpainting workflow
Outpainting Workflow Usage Explanation
The key steps of the outpainting workflow are as follows:
- Load the locally installed model file in the
Load Checkpointnode - Click the
Uploadbutton in theLoad Imagenode to upload your image - Click the
Queuebutton or use the shortcutCtrl + Enterto execute the image generation
In this workflow, we mainly use the Pad Image for outpainting node to control the direction and range of image extension. This is actually an Inpaint workflow, but we use different nodes to build the mask.
Pad Image for outpainting Node
This node accepts an input image and outputs an extended image with a corresponding mask, where the mask is built based on the node parameters.
Input Parameters
| Parameter Name | Function |
|---|---|
image | Input image |
left | Left padding amount |
top | Top padding amount |
right | Right padding amount |
bottom | Bottom padding amount |
feathering | Controls the smoothness of the transition between the original image and the added padding, higher values create smoother transitions |
Output Parameters
| Parameter Name | Function |
|---|---|
image | Output image represents the padded image |
mask | Output mask indicates the original image area and the added padding area |
Node Output Content
After processing by the Pad Image for outpainting node, the output image and mask preview are as follows:
You can see the corresponding output results:
- The
Imageoutput is the extended image - The
Maskoutput is the mask marking the extension areas
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