How to Inpaint in Stable Diffusion A1111, A Detailed Guide with Inpainting Techniques to level up!
TLDRIn this tutorial, the presenter, known as the Keyboard Alchemist, guides viewers through the process of inpainting in Stable Diffusion A1111, a technique that allows for the addition or modification of elements within an image. The video covers various scenarios such as adding a parrot on a girl's shoulder, changing an arm into a cyborg arm, and incorporating a pirate hat into an image. The presenter introduces Photopia, an extension for photo editing within the web UI, and demonstrates how to use it along with the Stable Diffusion interface to achieve the desired inpainting results. The tutorial also explores using Luras (low-rank adaptation) for creating consistent styles or objects, such as a robotic arm. The video provides a detailed walkthrough of the inpainting process, including selecting and cutting out elements, using masks, and adjusting denoising strength for optimal results. The presenter also discusses latent upscaling in Image to Image for refining the final image and offers tips on organizing and using Luras effectively. The summary concludes with a call to action for viewers to like and subscribe for more content.
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 begin, download the Photopia extension for advanced photo editing capabilities within the Stable Diffusion web UI.
- 🖌️ Use the magnet selection tool in Photopia to select and cut out the parrot, leaving a rough edge which will be refined later.
- 🚫 Erase jagged edges around the parrot and move it to the desired location on the girl's shoulder.
- 🎭 Use the inpainting interface to cover the parrot with a mask, ensuring the mask is larger than the parrot for context.
- 🌟 Choose the 'original' setting for masked content to keep the inpainting close to the underlying image.
- 🔄 Test different denoising strength values using an XYZ plot script to find the best value for merging the parrot into the image.
- 🏴☠️ For adding a new element like a pirate hat, use the 'fill' option for masked content and increase the denoising strength to generate the new detail.
- 📏 'Inpaint area' can be set to 'whole picture' or 'only masked' depending on whether you want the AI to reference the entire image or just the area around the mask.
- 🤖 Utilize LURAS (Low Rank Adaptation) for fine-tuning specific elements like adding a robotic arm to an image.
- 🌐 Organize your LURAS collection with preview images and descriptions for easier access and use in future projects.
Q & A
What is the first step to add a parrot on a girl's shoulder using Stable Diffusion?
-The first step is to download an extension called Photopia, which is a photo editing tool for automatic1111.
How do you install Photopia in Stable Diffusion?
-You go to the extensions tab, click on 'install from URL', paste the Photopia GitHub link provided in the video description, and then click 'install'.
What tool is used to select the parrot and cut out its background in Photopia?
-The magnet selection tool is used to select the parrot and cut out its background.
What is the purpose of leaving padding on the edges of the parrot when creating a mask for inpainting?
-Padding on the edges of the mask provides the AI model with context from the surrounding pixels, which helps in generating a more accurate inpainted image.
What model is used to generate the parrot in the inpainting process?
-The Dream Shaper 7 model is used to generate the parrot during the inpainting process.
How do you determine the appropriate denoising strength value for inpainting?
-You can use an XYZ plot script to test a range of denoising strength values and pick the best one that merges the added element seamlessly into the image.
What is the difference between 'whole picture' and 'only masked' settings in the inpainting area?
-The 'whole picture' setting uses the entire image as a reference for generating the new image, while 'only masked' mode references only a portion of the area around the mask.
How do you add a pirate hat to the image using inpainting?
-You first send the image to 'inpaint sketch', draw the general shape of the pirate hat, and then set the masked content to 'fill' and use a higher denoising strength to generate the hat.
What is LURAs and how is it used for inpainting a specific part of an image?
-LURAs stands for Low-rank Adaptation, a training method to fine-tune a stable diffusion checkpoint. It is used to generate consistent styles, objects, characters, and in the case of the video, robotic arms.
How do you organize and manage different LURAs in Stable Diffusion?
-You can add a short description and a preview image to each LURA for easier identification and organization. The preview image should be saved as a PNG file with the same name as the LURA file.
What is the final step to enhance the final image after inpainting?
-The final step is to do a latent upscaling in 'image to image' to fix minor imperfections and inconsistencies, such as matching skin tones.
How do you handle unwanted elements in the background after adding a new element through inpainting?
-You can create a mask to cover the unwanted elements and change the prompt to match the desired background, then generate a new batch of images with inpainting to replace the background.
Outlines
🎨 Introducing Image Inpainting Techniques
This paragraph introduces the concept of image inpainting, where the presenter, Keyboard Alchemist, explains how to add new elements to an existing image using various techniques. The focus is on answering viewer questions about the feasibility of adding specific elements, such as a parrot on a shoulder or changing an arm into a cyborg arm. The presenter also outlines the plan to demonstrate these techniques using an extension called Photopia and explains the steps to install and use it for image editing. The goal is to provide a practical guide on how to achieve creative image modifications through inpainting.
🖌️ Inpainting a Parrot onto an Image
In this paragraph, the presenter dives into the process of adding a parrot to a girl's shoulder using inpainting techniques. The steps involve using Photopia to select and cut out the parrot from its original image, clean up the edges, and then transfer it to the desired location on the girl's shoulder. The presenter explains how to use a mask to cover the parrot and the importance of setting the masked content to 'original' to ensure the inpainting blends well with the underlying image. The paragraph also discusses the use of the 'whole picture' setting for the inpaint area and the process of generating multiple images with different seeds to find the best result. The presenter then uses an XYZ plot script to determine the optimal denoising strength for the best inpainting outcome.
🏴☠️ Adding a Pirate Hat to an Image
This section focuses on adding a pirate hat to the girl's image, emphasizing the use of inpainting sketch to draw the desired shape. The presenter explains the importance of the sketch area in determining the final look of the inpainted hat and suggests adding patterns or colors for better definition. The paragraph details the process of using the 'fill' option for the masked content setting and the need for a higher denoising strength to materialize the new element. The presenter shares insights on using the 'only masked' mode for better results and demonstrates how to refine the image further with latent upscaling to fix any inconsistencies introduced by the inpainting process.
🤖 Inpainting a Robotic Arm Using LURAS
The presenter discusses the use of LURAS (Low Rank Adaptation) for fine-tuning stable diffusion models to generate consistent styles, objects, and in this case, a robotic arm. The process involves downloading a specific LURA named 'real mechanical Parts' and incorporating it into the editing software. The paragraph explains how to simplify the use of LURAS by adding a keyword ('real Mech') to the model properties and how to organize LURAS with preview images. The presenter then demonstrates the inpainting process by masking the girl's arm and using the 'fill' option with the 'whole picture' setting to add the robotic arm. The paragraph also covers the importance of selecting the right seed and tweaking parameters to achieve a cohesive image. The presenter uses a combination of denoising strength and sampling steps to refine the robotic arm and fix the background, ultimately resulting in a polished final image.
🌴 Finishing Touches and Final Results
The final paragraph focuses on the finishing touches to the image, including removing unwanted background elements and restoring parts of the image that were altered during the inpainting process. The presenter uses inpainting techniques to change the background to a white sandy beach and sketches out the missing parts of the palm tree. The paragraph details the process of refining the mask, adjusting prompts, and using the right parameters for the final upscaling to enhance the image quality. The presenter emphasizes the importance of careful masking and parameter selection to achieve a realistic and cohesive final image. The video concludes with a call to action for viewers to like and subscribe for more content and a preview of future tutorials.
Mindmap
Keywords
💡Inpainting
💡Stable Diffusion
💡Photopia
💡Masks
💡Luras
💡Denoising Strength
💡XYZ Plot Script
💡Inpaint Sketch
💡Latent Upscaling
💡Positive Prompts
Highlights
Inpainting in Stable Diffusion is a technique that allows you to add or modify elements within an existing 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, you need to download an extension called Photopía, which is a photo editing tool integrated into the web UI of Stable Diffusion.
The process of inpainting involves importing the original image, regenerating it with low denoising strength, and then using Photopía to cut out and clean up the element you want to add to the image.
After cutting out the desired element, like a parrot, you can move it to the desired location on the image and use the inpainting interface to cover the parrot with a mask.
When inpainting, it's important to leave some padding on the edges of the mask to provide the AI model with context from the surrounding pixels.
The dream shaper 7 model is used to generate the parrot, and the inpaint settings are mostly default, with special attention to the masked content and inpaint area settings.
To find the right denoising strength value, you can use the XYZ plot script to test a range of values and pick the one that best merges the element into the image.
Inpainting can also be done in 'only masked' mode, which references only a portion of the area around the mask to generate the new image.
For adding completely new elements like a pirate hat, you can use the 'fill' option for the masked content setting and adjust the denoising strength to a higher value.
The 'latent upscaling' feature in image to image can be used to fix minor imperfections and ensure consistency in the final image.
LURAS (Low Rank Adaptation) is 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, you need to download the model, place it in the correct folder, and add a description and keyword in the Stable Diffusion UI.
When inpainting a specific part of an image, like changing a girl's arm into a robotic arm, you can draw a mask at the location and use the LURAS model along with the appropriate prompts.
The size and shape of the inpainting mask will impact the final result, so it's important to refine the mask as needed.
If the newly generated image has a different posture or stance than the original, the inpainting may look off, so it's crucial to choose the right seed for the best match.
Background elements can be removed or modified using additional inpainting, sketching out the desired elements and using the appropriate prompts.
The final step is to do a latent upscaling to enhance the image, adjusting the sampling steps and increasing the image size while reducing the denoising strength.