How to Inpaint in Stable Diffusion A1111, A Detailed Guide with Inpainting Techniques to level up!

Keyboard Alchemist
27 Nov 202318:11

TLDRIn this tutorial, learn how to use inpainting techniques in Stable Diffusion to modify images creatively. Discover how to add a parrot on a girl's shoulder, transform an arm into a cyborg one, and utilize LURAS for specific image parts. Follow step-by-step instructions to install Photopota extension, use inpainting interfaces, and achieve seamless results by tweaking denoising strength and sampling steps.

Takeaways

  • 🎨 Inpainting in Stable Diffusion allows you to add or modify elements within an image, such as placing a parrot on a girl's shoulder or changing an arm into a cyborg arm.
  • 🔧 To get started with inpainting, download the Photopia extension which integrates photo editing tools directly into the web UI, similar to Photoshop.
  • 📌 Follow the steps provided to install Photopia, including checking for updates and restarting the UI once installed.
  • 🖼️ Import the original image and use negative prompts to regenerate the image with minimal changes, setting the denoising strength very low.
  • 🔍 Use the red bird icon to send the image to Photopia, where you can cut out elements like the parrot and refine the edges.
  • 🎭 In Photopia, move the element (e.g., parrot) to the desired location and send the image back to the main interface for inpainting.
  • 🖼️ Use a mask in the inpainting interface to cover the element you want to blend in (e.g., the parrot), ensuring the mask is larger than the element for context.
  • 📈 Adjust denoising strength and other inpainting settings to achieve the desired result, with masked content set to 'original' to stick close to the underlying image.
  • 🔄 Use the XYZ plot script to test various denoising strength values and select the best one for a natural-looking result.
  • 🎩 For adding new elements like a pirate hat, use the 'fill' option for the masked content setting and a higher denoising strength to materialize the object.
  • 🤖 Utilize LURAS (Low Rank Adaptation) like the 'Real Mech' LURA for specific part modifications, such as turning an arm into a robotic arm.
  • 🌴 If the background needs adjustment, refine it with additional inpainting, changing prompts accordingly, and use inpaint sketch for finer details.

Q & A

  • What is the name of the extension needed to add a parrot on the girl's shoulder in the image?

    -The extension needed is called Photopia.

  • How do you install Photopia in the Stable Diffusion interface?

    -To install Photopia, go to extensions, click on the 'install from URL' tab, copy and paste the Photopia GitHub link into the first field, then click 'install' and wait for the installation to finish.

  • What is the purpose of setting the denoising strength to 0.1 when regenerating the image?

    -Setting the denoising strength to 0.1 ensures that the image is regenerated with almost no change at all, maintaining the original settings.

  • What tool can be used to select and cut out the parrot from its background in Photopia?

    -The magnet selection tool can be used to select and cut out the parrot from its background.

  • Why is it important to leave some padding on the edges of the parrot when covering it with a mask for inpainting?

    -Leaving padding on the edges of the parrot provides the AI model with context from the surrounding pixels, which helps in generating a more accurate inpainted result.

  • What is the significance of using the 'whole picture' setting for the inpaint area?

    -Using the 'whole picture' setting means that the model will use the entire picture as a reference when generating the new image, ensuring a more coherent result.

  • How does the denoising strength value affect the inpainting process?

    -A lower denoising strength value results in fewer changes from the original image, while a higher value introduces more changes, affecting how well the inpainted object blends with the rest of the image.

  • What is the role of the 'only masked' setting in the inpainting process?

    -The 'only masked' setting makes the model reference only a portion of the area around the mask to generate new images, which can be useful when a solid image is already present under the masked area.

  • How can you add a pirate hat to the image of the lady using the inpainting technique?

    -First, send the image with the parrot to 'inpaint sketch', draw the pirate hat using a brown color, and then use the 'fill' option for the masked content setting in the inpainting interface.

  • What is LURAs (Low Rank Adaptation) and how is it used for inpainting specific parts of an image?

    -LURAs is a training method to fine-tune a Stable Diffusion checkpoint, allowing for the generation of consistent styles, objects, and characters. It is used for inpainting by downloading a specific LURA (like the 'real mechanical parts' LURA) and using it in the inpainting process with a keyword ('real Mech') to generate the desired object (like a robotic arm).

  • How can you organize and manage your collection of LURAs?

    -You can organize your LURAs by adding a preview image to each LURA. Save a representative image as a PNG file with the same name as the LURA file in the Stable Diffusion LURA folder and then refresh the web UI to see the preview image.

  • What is the final step to improve the quality and coherence of the inpainted image?

    -The final step is usually to perform latent upscaling in 'image to image' to fix minor imperfections and ensure consistency in the image, such as matching skin tones.

Outlines

00:00

🎨 Creative Image Inpainting Techniques

In this tutorial, the presenter, the Keyboard Alchemist, discusses the concept of image inpainting, specifically adding new elements to an image, such as a parrot on a girl's shoulder or transforming an arm into a cyborg arm. The process involves using an extension called Photopia for photo editing and the steps to install it. The presenter demonstrates how to use negative prompts to regenerate an image with minimal changes and then use Photopia to cut out the parrot, clean up the edges, and position it on the girl's shoulder. The AI model is then employed to inpaint the parrot into the image using a mask and specific settings. The importance of leaving padding on the mask for context is highlighted, and the use of different models and settings for inpainting is explored.

05:01

🖌️ Advanced Inpainting and Image Enhancement

The second paragraph delves into advanced inpainting techniques, such as changing the girl's arm into a robotic arm using Luras, which are smaller and quicker to train models suitable for generating consistent styles. The presenter guides through the process of downloading and installing a specific Lura for mechanical parts and setting it up for easy use. The tutorial covers how to use the Lura with a keyword for activation, organizing Luras with preview images, and creating an inpainting mask for the desired changes. It also discusses how to refine the mask and adjust parameters like denoising strength and sampling steps for optimal results. The paragraph concludes with a demonstration of how to use inpainting to clean up the background and integrate missing elements like a palm tree using Inpaint Sketch.

10:04

🚀 Final Touches and Image Upscaling

The third paragraph focuses on the final steps of the image editing process. After achieving a satisfactory robotic arm through inpainting, the presenter addresses how to remove unwanted background elements. This involves refining the mask to target only the undesired areas and using the AI model to replace the background with a white sandy beach. The presenter then demonstrates how to restore a portion of a palm tree that was inadvertently removed during the background inpainting. The process includes sketching the missing tree trunk, adjusting the prompt, and generating a new batch of images to reintegrate the tree. The video concludes with a final upscaling step to enhance the image quality and resolve any minor imperfections, resulting in a polished final image.

15:05

📘 Conclusion and Viewer Engagement

In the concluding paragraph, the presenter summarizes the inpainting techniques covered in the video and encourages viewers to apply these methods to their own image editing projects. The importance of practice and experimentation with different settings is emphasized. The presenter also requests viewer engagement, asking them to like and subscribe for support and to enable the continuation of high-quality content creation. The video ends with a note of thanks and an anticipation for the next tutorial.

Mindmap

Keywords

💡Inpainting

Inpainting is a technique used in image editing where missing or unwanted parts of an image are filled or altered. In the context of the video, inpainting is used to add new elements such as a parrot on a girl's shoulder or to modify existing parts like changing a girl's arm into a cyborg arm. The process involves using AI models and photo editing tools like Photopia to seamlessly integrate the new content into the original image, creating a realistic and cohesive final result.

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating images. It is mentioned in the video as the platform where the inpainting techniques are applied. The AI model is capable of understanding and executing complex image manipulation tasks such as adding or changing elements within an image based on the user's input, which can range from simple descriptions to more intricate prompts.

💡Photopia

Photopia is a photo editing extension mentioned in the video that works within the web UI of Stable Diffusion. It provides tools similar to Photoshop, allowing users to perform tasks like selection, cutting, and erasing directly within the AI platform. This extension is particularly useful for preparing images for inpainting, such as selecting and removing the background of an element like a parrot before placing it onto a different image.

💡Masks

Masks are a crucial part of the inpainting process. They are used to cover or reveal certain areas of the image that the user wants to protect from changes or to target specifically for modifications. In the video, the creator uses a mask to cover the area where the parrot is to be added, ensuring that only the designated area is affected by the inpainting process, while the rest of the image remains unchanged.

💡Denoiising Strength

Denoiising strength is a parameter in the AI model that determines the level of change from the original image during the inpainting process. A lower value means fewer changes and a higher value leads to more significant alterations. In the video, the creator experiments with different denoising strength values to find the optimal level for integrating new elements like the parrot and the robotic arm into the image in a way that looks natural and seamless.

💡Random Seeds

Random seeds are values used by the AI model to generate different variations of an image. Each seed produces a unique output, allowing the user to choose the most satisfactory result. In the video, the creator generates batches of images with random seeds to find the best match for the desired inpainting, such as the positioning and appearance of the parrot and the robotic arm.

💡XYZ Plot Script

The XYZ plot script is a tool used in the video to visualize the relationship between different parameters, such as denoising strength and sampling steps. It helps the creator to understand how these settings interact and influence the final image, allowing for more informed decisions when fine-tuning the inpainting process to achieve the desired outcome.

💡Luras

Luras, short for low-rank adaptations, are a training method used to fine-tune AI models for specific tasks. They are smaller in size and can be trained more quickly than full model checkpoints. In the video, Luras are used to generate consistent styles, objects, or in this case, robotic arms for inpainting. The creator uses a 'real mechanical parts' Lura to add a cyborg arm to the image, demonstrating how Luras can be used to introduce new elements that are not part of the original AI model's training data.

💡Web UI

Web UI refers to the web-based user interface of the Stable Diffusion platform. It is where the video's creator interacts with the AI model, uploads images, and applies various editing and inpainting techniques. The web UI provides a visual and interactive way for users to engage with the AI, making the process more accessible and user-friendly.

💡Image-to-Image

Image-to-Image is a process mentioned in the video where the user transfers an image from one state to another, often to fix minor imperfections or to upscale the image quality. In the context of the tutorial, image-to-image is used after inpainting to address any inconsistencies introduced by the editing process, ensuring that the final image is cohesive and polished.

💡Pirate Hat

In the video, the pirate hat is an example of how inpainting can be used to add new objects to an image. The creator sketches a general shape of the hat and then uses the inpainting interface to generate a detailed pirate hat. This demonstrates the versatility of inpainting techniques, allowing users to introduce elements that were not originally present in the image, adding a creative touch or enhancing the narrative of the scene.

Highlights

Inpainting in Stable Diffusion allows you to add or modify elements within an image, such as adding a parrot on a girl's shoulder or changing a girl's arm into a cyborg arm.

To get started with inpainting, download the Photopia extension which is a photo editing tool integrated into the web UI, similar to having Photoshop built-in.

After installing Photopia, import the original image and use negative prompts to regenerate the image with minimal changes, setting the denoising strength to a low value.

Use the magnet selection tool in Photopia to select the parrot, cut out the background, and clean up jagged edges for easier inpainting.

Send the image to the inpainting interface, cover the parrot with a mask, and use the dream shaper 7 model to generate the parrot, adjusting the inpaint settings for optimal results.

Experiment with different denoising strength values using the XYZ plot script to find the best value for merging the parrot into the image seamlessly.

Inpainting can also be used to add new elements like a pirate hat on the girl's head, using the fill option and a higher denoising strength for better detail.

The 'only masked' mode in inpainting focuses on generating new images based on a smaller area around the mask, which can sometimes produce better results.

Latent upscaling in image to image can fix minor inconsistencies introduced by inpainting steps and ensure a cohesive final image.

LURAs (Low Rank Adaptation) are a training method for fine-tuning a stable diffusion checkpoint, ideal for generating consistent styles, objects, or in this case, robotic arms.

To use LURAs, download the desired model, add a description, and set a keyword for easy integration into your prompts without having to type it every time.

When inpainting a specific part of an image like a robotic arm, use the fill option and adjust the mask to define the region accurately for the best results.

The resizing mode, denoising strength, and sampling steps are crucial parameters to adjust for achieving a coherent inpainting result, especially when adding complex elements like a robot arm.

If the initial inpainting results include unwanted elements, refine the mask and use the inpainting sketch feature to remove them, adjusting the prompt accordingly.

For complex backgrounds, like a white sandy beach, adjust the prompt to match the background and use the inpainting sketch to add back any missing elements like a palm tree.

Finally, use image to image with latent upscaling to enhance the overall image quality and consistency, adjusting the width, height, and denoising strength for the best outcome.

The tutorial provides a comprehensive guide on inpainting techniques in Stable Diffusion, showcasing the versatility of the tool for various creative applications.

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