OUTPAINTING that works. Impressive results with Automatic1111 Stable Diffusion WebUI.

Next Tech and AI
29 Jul 202413:33

TLDRThis video tutorial showcases how to use Stable Diffusion OutPaint with Automatic1111 Stable Diffusion WebUI to expand images seamlessly. It covers the installation of ControlNet, the process of outpainting, and tips for maintaining image consistency. The video also demonstrates inpainting to fix image imperfections and suggests upscaling for enhanced consistency.

Takeaways

  • 🖼️ Stable Diffusion OutPaint allows expanding images without altering the original prompt.
  • 🔧 To use OutPainting, ensure you have ControlNet version 1.1 or newer installed.
  • 📂 If ControlNet is not up-to-date, check for updates in the extensions tab and restart the application.
  • 🔄 For OutPainting, use the ControlNet inpainting model, which is similar for both inpainting and outpainting.
  • 📁 Download the necessary 'inpaint.pth' file and place it in the Stable Diffusion directory if the model is missing.
  • 🔄 Refresh the WebUI to see the updated inpainting model after downloading.
  • 🔄 Ensure compatibility between ControlNet and checkpoint versions, such as using epic realism 1.5 with ControlNet 1.5.
  • 🖌️ For easy outpainting, extend the image width, set resize mode to 'resize and fill', and adjust denoising strength.
  • 🎨 Use ControlNet with the 'inpaint' option selected to maintain the original image's integrity.
  • 🖌️ Draw a line in the desired outpainting direction using the brush tool for more precise control.
  • 🔄 Increase image size by painting a line in the desired direction without affecting the original image content.
  • 📈 Scripts can be used for outpainting, but use them correctly to avoid poor results.
  • 🖼️ After outpainting, consider upscaling the image to improve consistency.

Q & A

  • What is Stable Diffusion OutPainting?

    -Stable Diffusion OutPainting is a technique that allows users to expand an existing image without altering the original content by adding new content to the edges.

  • Why is ControlNet necessary for outpainting?

    -ControlNet is necessary for outpainting because it provides the necessary control over the generation process, ensuring that the new content fits seamlessly with the existing image.

  • How can you check if you have the correct version of ControlNet?

    -You can check the version of ControlNet by looking in the extensions tab for updates or by checking the version number within the software.

  • What should you do if ControlNet version 1.1 or newer is not installed?

    -If ControlNet version 1.1 or newer is not installed, you should go to the extensions tab, check for updates, apply them, and then restart the software.

  • Where can you find the inpaint.pth file needed for outpainting?

    -The inpaint.pth file can be found on the webpage linked in the video description. Once downloaded, it should be placed in the Stable Diffusion directory under models ControlNet.

  • What is the purpose of the 'inpaint' control type in ControlNet?

    -The 'inpaint' control type in ControlNet is used to specify that the model should fill in or extend areas of the image, which is essential for outpainting.

  • Why is it important to match the checkpoint version with the ControlNet version?

    -Matching the checkpoint version with the ControlNet version ensures compatibility and optimal performance of the outpainting process.

  • How can you extend an image using outpainting without changing the original content?

    -To extend an image without changing the original content, you can use the 'inpaint' tab to draw a line or paint a mask where you want the new content to be added, and then use the outpainting script to generate the new content.

  • What is the significance of the denoising strength setting in outpainting?

    -The denoising strength setting determines how much the original image content will be altered during the outpainting process. A lower value will result in less alteration of the original content.

  • How can you fix minor issues in the outpainted area?

    -You can fix minor issues in the outpainted area by using the brush tool in the 'inpaint' tab to manually edit the problematic areas.

  • What is the recommended approach for increasing the image size after outpainting?

    -The recommended approach is to upscale the picture for consistency, usually two times, after completing the outpainting process.

Outlines

00:00

🖼️ Introduction to OutPainting with Stable Diffusion

The paragraph introduces the concept of expanding images using Stable Diffusion's OutPaint feature. It explains how to use the feature without altering the original prompt and mentions the use of Automatic1111 and ControlNet for outpainting. The speaker guides viewers on checking for updates and installing ControlNet if necessary. They also discuss the need for the ControlNet inpainting model and provide instructions on downloading and installing it. The importance of using the correct model type with ControlNet is emphasized. A demonstration image is prepared to show the outpainting process, and viewers are directed to another video for training a model with personal images.

05:04

🎨 OutPainting Techniques and Results

This paragraph delves into the process of outpainting, starting with the simplest method which may not work on all machines. It describes how to extend an image's width, set the resize mode, and adjust denoising strength. The paragraph also addresses the need for ControlNet and the importance of selecting the correct model and pre-processor. The speaker then discusses the use of a control image for outpainting and shares the results, which were not entirely satisfactory. They mention how denoising strength can affect the original image and introduce a better solution involving copying the image to the inpaint tab, using a brush to define the area to be outpainted, and repairing parts of the image as needed.

10:05

🖌️ Advanced OutPainting with Scripts

The final paragraph focuses on advanced outpainting techniques using scripts. It highlights the importance of being in the inpaint tab and using the outpainting script to extend the image in a specific direction. The speaker demonstrates how to use the script to outpaint only to the top, discusses the use of masks and blurs, and shares the successful result. They then explore creative outpainting by adding noise and adjusting denoising strength. The paragraph concludes with a suggestion to upscale the image for increased consistency and encourages viewers to share their outpainting experiences and like the video if they found it helpful.

Mindmap

Keywords

💡Outpainting

Outpainting refers to the process of extending an image beyond its original borders, filling in new areas with content that is consistent with the existing image. In the context of the video, outpainting is used with Stable Diffusion and ControlNet to expand images without altering the original prompt or content. An example given in the script is extending an image to the left and right, aiming to maintain the original image's integrity while adding new content to the sides.

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating images from textual descriptions. The video mentions using Stable Diffusion with outpainting to achieve impressive results. It's noted that different versions of Stable Diffusion, such as SD1.5, are compatible with specific versions of ControlNet for optimal performance.

💡ControlNet

ControlNet is a model used in conjunction with Stable Diffusion for tasks like inpainting and outpainting. The script instructs viewers to check for ControlNet version 1.1 or newer for effective outpainting. It's emphasized that ControlNet plays a crucial role in ensuring the original image's details remain unchanged while new content is generated around it.

💡Inpainting

Inpainting is a technique used to fill in missing or damaged parts of an image. The video script uses the term 'inpaint' in relation to ControlNet, indicating that similar techniques are used for both inpainting and outpainting. An example is given where the model is used to repair a jacket in the image without altering the rest of the image.

💡Denoising Strength

Denoising strength is a parameter that influences how much the original image content is altered when generating new content. A value between 0.6 and 1 is suggested, with 0.9 being tested in the script. A higher denoising strength results in more significant changes to the original image, while a lower value preserves more of the original content.

💡Resize Mode

Resize mode is a setting that determines how an image is scaled. The script mentions 'resize and fill' as a mode that allows the image to be filled with new content on the sides when the width is increased. This is crucial for outpainting, as it dictates how the new areas around the image are handled.

💡Seed

In the context of AI image generation, a seed is a random number used to initiate the image creation process, resulting in a unique image each time. The script suggests setting the seed to -1 to generate random results, which can be useful for experimenting with different outpainting outcomes.

💡Preprocessor

A preprocessor in image processing prepares the image for further manipulation. In the video, 'inpaint + lama' is mentioned as an effective preprocessor combination for outpainting with ControlNet. This step is essential for setting up the image correctly before applying outpainting techniques.

💡Control Mode

Control mode determines how the AI interprets and processes the image. The script specifies that setting the control mode to 'controlnet' is more important, especially when using outpainting scripts. This mode ensures that the AI focuses on generating new content based on the existing image's context.

💡Outpainting Script

An outpainting script is a set of instructions that tells the AI how to extend the image. The video describes using a script to outpaint only to the top of the image, which is a more controlled approach compared to other methods. The script helps in achieving a desired extension direction without affecting other parts of the image.

💡Upscaling

Upscaling is the process of increasing the resolution of an image. The video mentions upscaling as a final step to increase the consistency of the outpainted image. By upscaling, the image's details are enhanced, resulting in a higher-quality final product.

Highlights

Stable Diffusion OutPaint allows expanding images without changing the prompt.

Outpainting can be done after changing the prompt as well.

Automatic1111 and ControlNet are required for outpainting.

Ensure ControlNet version 1.1 or newer is installed.

If ControlNet is not updated, check for updates in the extensions tab.

ControlNet inpainting model is needed for outpainting.

The terms inpainting and outpainting are used for similar techniques.

Download the inpaint.pth file and place it in the Stable Diffusion directory for the model.

Refresh the WebUI to see the inpaint model after copying the file.

Use the correct checkpoint version compatible with ControlNet version.

Prepare an image for outpainting demonstration.

The easiest method of outpainting may not work on all installations.

Set the width to 1024 and resize mode to 'resize and fill' for outpainting.

Denoising strength should be between 0.6 and 1.0.

ControlNet should be enabled for outpainting.

Use 'inpaint' as the control type in ControlNet.

Preprocessor should be 'inpaint + lama' for the best results.

Upload the same image as an independent control image for outpainting.

Outpainting can change the contents of the original picture.

Denoising strength can be adjusted to influence how much the original changes.

Copy the image to the inpaint tab to extend areas without changing the original.

Use a brush to paint a line to the left and right for precise outpainting.

Inpainting can be used to repair parts of the image.

Increase image height without painting by setting the resize to height.

Scripts can be used for outpainting, contrary to popular belief.

Outpaint only in one direction at a time for the best results.

Use the outpainting script to extend the image to the desired direction.

Noise can be added to create more creative outpainting results.

Decrease denoising strength for more stable outpainting generations.

Outpainting script may consume less memory than using ControlNet only.

After outpainting, increase consistency by upscaling the picture.

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