4-5 Expand the image with outpainting(Stable Diffusion Practical Guide Table of Contents)

List

Chapter 1 Let's learn about image generation AI

• 1-1 Let's create images with AI
• 1-2 The birth and evolution of image generation AI
• 1-3 Let's think about the 'definition of AI' at the present time
• 1-4 Let's learn about artificial neural networks
• 1-5 Let's learn about the principle of image generation by the diffusion model

Chapter 2 Let's start building the environment

• 2-1 Let's prepare the environment to use Stable Diffusion
• 2-2 Let's build the environment using Google Colab
• 2-3 Let's build the Stability Matrix in the local environment
• 2-4 Let's create images with simple words
• 2-5 Download the model
• 2-6 Download the VAE

Chapter 3 Let's create images with prompts

• 3-1 Create images as you think using prompts
• 3-2 Build negative prompts
• 3-3 Let's create images 'as you think'
• 3-4 Let's increase the resolution of the image
• 3-5 Let's adjust various parameters
• 3-6 Let's test various prompts

Chapter 4 Let's create images using images

• 4-1 You can do it with img2img Let's figure out what's there
• 4-2 Let's create an image using Sketch
• 4-3 Let's edit an image using Inpaint
• 4-4 Apply Inpaint to modify an image
• 4-5 Extend an image using Outpainting
• 4-6 Increase the resolution of an image using img2img
• 4-7 Let's upscale with the extension function

Chapter 5 Let's use ControlNet

• 5-1 Let's learn about ControlNet
• 5-2 Download and prepare ControlNet
• 5-3 Create an image using ControlNet
• 5-4 Understand the role of the preprocessor

Chapter 6 Let's create and use LoRA

• 6-1 Let's learn what we can do with additional learning
• 6-2 Let's create an image using LoRA
• 6-3 Create your own dedicated painting style LoRA
• 6-4 Let's create various types of LoRA
• 6-5 Let's evaluate the learning content

Chapter 7 Let's use the image generation AI more

>>>What is Outpainting?

In the previous section, we learned that using Inpaint, we can select a part of the input image and create it. Using Outpainting, we can create a new image that continues around the input image. This is useful when you find out later that there is a broken part in the subject of the image or that the image size is small.

Here, we will proceed with outpainting using the most practical outpainting tool, Poor man's outpainting. First, open the img2img →img2img tab and upload the input image.

>>>Let's try Outpainting

Here, we will proceed with outpainting using the most practical outpainting tool, Poor man's outpainting. First, open the img2img →img2img tab and upload the input image.

Prompt

masterpiece, best quality, ultra detailed, fantasy,colorful, portrait, 1 girl, straw hat, white shirt,white background

Negative Prompt

worst quality, low quality, normal quality, easynegative, multiple girls,

From the Script menu, select Poor man's outpainting. The Poor man's outpainting menu will appear, and you can set four additional parameters.

• Pixels to expand: Specifies the range to expand in pixels.

• Mask blur: Specifies how to blur the border between the input image and the newly created area.

• Masked content: Specifies the method to supplement the range to expand. There are four types of supplementation methods, just like Inpaint.

• Outpainting direction: Specifies the direction to expand in: up, down, left, or right. Multiple directions can be selected at the same time.

This time, let's expand the image at the bottom by setting Pixels to expand: 128, Mask blur: 4, Masked content: fill, Outpainting direction: down without changing the prompt.

If you repeatedly run Outpainting on an image that has been Outpainted, you can further expand the image. If the boundary with the expanded part is noticeable, try adjusting the Mask blur or Pixels to expand values.