ComfyUI 36 Inpainting with Differential Diffusion Node - Workflow Included -Stable Diffusion
TLDRThe video demonstrates the use of the differential diffusion node in ComfyUI 36 for inpainting tasks, enhancing image quality. It showcases creating a workflow by adding a column for image loading and masking, then using the node to refine details like hair and facial features. The script compares inpainting results with and without the differential diffusion node, highlighting its effectiveness in improving image details and reducing distortions. The tutorial also covers changing clothing colors and styles, using different selection methods for inpainting, and the benefits of using the differential diffusion node to achieve more natural and accurate results.
Takeaways
- 🔧 Upgrading to the latest version of conv unlocks the differential diffusion node by default.
- 🎨 The differential diffusion node is particularly useful for inpainting, improving the quality of the image.
- 📐 A new column is added between the loader and the sampler for loading images and creating masks for inpainting.
- 🖌️ The mask editor allows for creating and adjusting the size of a cursor to draw a mask, capturing all the hair in the example.
- 🔍 A gaussian blur mask can be adjusted to see what works best for a specific image, with 2020 being a fine parameter in the case shown.
- 🌱 The 'grow mask' feature can be used to slightly enlarge the drawn mask for better coverage.
- 👀 Without the differential diffusion, the inpainted image may show distortions, especially in detailed areas like the eyes and hairline.
- 🌈 With the differential diffusion enabled, the image quality improves significantly, with less distortion and a more natural look.
- 👕 The script demonstrates changing the color of a t-shirt from blond wavy hair to dark purple with a logo, using a mask.
- 👖 Another method for selection involves using a 'some detector' to select and blur a t-shirt for inpainting, adjusting the confidence level for accuracy.
- 👖 Using the 'clip' feature, the script shows how to change blue jeans to white jeans, with differential diffusion helping to create a more realistic result.
Q & A
What is the purpose of the differential diffusion node in ComfyUI 36 Stable Diffusion?
-The differential diffusion node in ComfyUI 36 Stable Diffusion is used for inpainting, which helps to create a perfect image by filling in missing or selected areas with content that blends seamlessly with the surrounding image.
How does the differential diffusion node improve the inpainting process?
-The differential diffusion node improves the inpainting process by providing a more accurate and natural-looking result. It helps to avoid distortions and maintains the integrity of the original image, especially in areas like the eyes, eyebrows, and hairline.
What is the workflow for using the differential diffusion node for inpainting?
-The workflow involves adding a column between the loader and the sampler to load the image and create a mask for the area to be inpainted. Then, using the mask editor to draw the mask, applying a Gaussian blur mask, and using the differential diffusion node to fill in the masked area.
How can one create a mask for inpainting in the video script?
-To create a mask for inpainting, right-click the image, find 'open in mask editor', and use the mouse wheel to adjust the cursor size. Draw the mask around the area to be inpainted, ensuring to capture all the necessary details like hair.
What is the role of the Gaussian Blur Mask in the inpainting process?
-The Gaussian Blur Mask helps to soften the edges of the inpainted area, making the transition between the new content and the original image smoother. It can be adjusted with parameters to suit different images or specific requirements.
How does the 'grow mask' feature work in the inpainting workflow?
-The 'grow mask' feature allows you to enlarge the drawn mask slightly, providing a buffer zone around the selected area. This can help in blending the inpainted content with the surrounding image more effectively.
What is the difference between the inpainted image with and without the differential diffusion node?
-The image without the differential diffusion node tends to have distortions, such as issues with the eyes, eyebrows, and hairline. In contrast, the image with the differential diffusion node looks much better, with a more natural and accurate inpainting result.
How can one change the color of an object, like a t-shirt, in the inpainting workflow?
-To change the color of an object, first, change the prompt to describe the desired color and object, like 'dark purple t-shirt with a logo'. Then, use the mask editor to clear and save the selection, and adjust the blur mask as needed to achieve the desired result.
What selection method is used to change the color of the t-shirt in the video?
-The 'some detector' selection method is used to change the color of the t-shirt. It involves increasing the confidence level and clicking on the t-shirt to create a selection, which is then saved to the note.
How can the differential diffusion node help with issues on the edges of the inpainted content?
-The differential diffusion node can help by smoothing out the edges and reducing the visibility of any artifacts or distortions. It works to create a more seamless integration between the inpainted content and the original image.
What is the final step to enhance the inpainting result after using the differential diffusion node?
-The final step to enhance the inpainting result is to perform a second sampler step, which can help to resolve any remaining issues or artifacts, resulting in a cleaner and more polished final image.
Outlines
🎨 In-Painting with Differential Diffusion Node
This paragraph discusses the use of a new feature in an image editing software, the differential diffusion node, which is available by default in the latest version. It is highlighted for its effectiveness in in-painting tasks, where it seamlessly integrates missing parts into an image. The process involves creating a mask to define the area for in-painting, using a mask editor to adjust the cursor size and draw the mask, and then applying a Gaussian blur to refine the mask. The differential diffusion node is shown to significantly improve the quality of the in-painted image, reducing distortions and making the image look more natural. The paragraph also demonstrates the use of the node to change the color of a subject's hair from blond to dark purple, using a different selection method to select the t-shirt for further editing.
👕 Enhancing Image Editing with Selection and Diffusion Techniques
The second paragraph continues the discussion on image editing, focusing on refining selections and using the differential diffusion node to improve the quality of the edited image. It describes the process of using a selection tool to choose a t-shirt and applying a blur mask to enhance the selection. The paragraph also touches on the challenges of dealing with edges and other details, such as the neck and hair, which can be problematic when editing. The differential diffusion node is again utilized to smooth out these issues, resulting in a more refined and realistic image. Additionally, the paragraph explores using a clip tool to select blue jeans and the impact of differential diffusion on the final image quality, emphasizing the benefits of this technique in creating a more pleasing and accurate result.
Mindmap
Keywords
💡Differential Diffusion Node
💡Inpainting
💡Workflow
💡Masking
💡Mask Editor
💡Gaussian Blur
💡Grow Mask
💡Prompt
💡Sampler
💡Selection Method
💡Differential Diffusion
Highlights
Upgrade to the latest version of conv to access the differential diffusion node by default.
The differential diffusion node is fantastic for inpainting, making perfect in-picture.
Creating an inpainting workflow involves adding a column for loading images and masking.
Use the mask editor to create a mask for inpainting, capturing all the brown hair.
Apply a Gaussian blur mask to refine the inpainting process.
Grow mask feature can be used to enlarge the drawn mask slightly.
Initial inpainting results show a blond girl, but with some distortions.
Using the differential diffuser significantly improves the image quality.
Switching on the differential diffusion node results in a much nicer image.
Changing the prompt to create a dark purple t-shirt with a logo.
Using the mask editor and some detector to select the t-shirt for inpainting.
Blur mask helps in refining the edges of the t-shirt in inpainting.
Differential diffusion improves the edges and overall appearance of the t-shirt.
A second sampler step could resolve minor issues in the inpainting.
Using clip to select blue jeans and applying differential diffusion for better results.
Differential diffusion significantly improves the appearance of white jeans.
Thank you for watching and looking forward to the next video.
