NEW Outpaint for ControlNET - Inpaint_only + Lama is EPIC!!!! A1111 + Vlad Diffusion
TLDRLearn how to enhance your image editing skills with ControlNet's new outpainting feature, which rivals Photoshop. This tutorial guides you through updating ControlNet, utilizing the innovative 'Inpaint_only + Lama' method for seamless image extension. Discover how to achieve high-resolution, prompt-based backgrounds with the optimal settings for denoise strength and batch processing, resulting in multiple consistent outpaintings.
Takeaways
- 🔧 Update ControlNet for better outpainting features.
- 🖼️ Use ControlNet's inpainting method for more effective image editing.
- 📂 Check for updates in the extensions tab for the latest ControlNet version.
- 🔄 Download the inpainting model automatically when using it for the first time.
- 🖌️ Right-click and save the image to your drive before outpainting.
- 🖥️ Select 'Image to Image' and load the image you want to extend.
- 🎨 Enable ControlNet and load the 'Inpaint Only Plus Llama' model for advanced outpainting.
- 🔄 Use the 'Resize and Fill' option to maintain image ratio and resolution.
- 🔧 Set a high denoise strength (0.75 to 1) for creating a new background based on your prompt.
- 🎰 Use a random seed for generating varied outpainting results.
- 📊 Increase the batch size to generate multiple outpaintings simultaneously.
Q & A
What is the main topic of the video?
-The main topic of the video is about using ControlNet for outpainting in a way that's better than Photoshop, specifically focusing on updating ControlNet and using the new inpainting plus llama method for effective workflows with Stable Diffusion.
How do you update ControlNet according to the video?
-To update ControlNet, you go to the extensions tab and click the 'Check for updates' button. Once an update is available for ControlNet, you click 'Apply' and restart to complete the update.
What happens when you click the 'Inpainting' button in ControlNet?
-Clicking the 'Inpainting' button loads the inpainting method for you, and it will automatically download the inpainting model the first time you use it.
Why is it suggested not to use outpainting directly in text-to-image mode?
-It is suggested not to use outpainting directly in text-to-image mode because it offers limited options and does not work as effectively as the method shown in the video.
What is the recommended next step after finding an image you like?
-After finding an image you like, you should right-click and save it to your drive, then click to send the image to 'Image to Image' mode, where you can use ControlNet for outpainting.
How do you enable the 'Inpaint only plus llama' option in ControlNet?
-You enable the 'Inpaint only plus llama' option by clicking on the list and selecting 'Inpaint only plus llama' from the available options.
What is the significance of setting the control mode to 'ControlNet'?
-Setting the control mode to 'ControlNet' is significant because it allows for more precise control over the outpainting process, though you can experiment with other methods as well.
What does 'resize and fill' do in the outpainting process?
-'Resize and fill' ensures that the outpainted areas fill the new image dimensions at a higher resolution, rather than cropping the original image to fit the new aspect ratio.
What are the recommended settings for the denoise strength when outpainting?
-For the denoise strength, it is recommended to go between 0.75 and 1, which helps create a new background that is still based on your prompt.
Why is it effective to use a random seed when generating outpaintings?
-Using a random seed is effective because it allows for the generation of multiple unique outpaintings at the same time, providing variety and options.
What are the results like with a 0.8 denoise setting according to the video?
-With a 0.8 denoise setting, the results are described as pretty beautiful and consistent with the original image, showing the effectiveness of the inpainting plus llama method.
Outlines
🖼️ How to Update and Use ControlNet for Out Painting
The speaker introduces a tutorial on how to use ControlNet for out painting in a superior way compared to Photoshop. They guide viewers through updating ControlNet, utilizing the new in painting plus llama method, and achieving the best results. The process begins with updating ControlNet through the extensions tab and checking for updates. Once updated, the speaker explains how to use the in painting feature, suggesting saving the desired image to the drive and then using the 'send to image to image' option with ControlNet enabled. They emphasize the importance of selecting the 'in paint only plus llama' option for the best results and suggest settings such as using the sampling method DPM++ 2M with Keras, setting a resolution of 700x1280, and adjusting the denoise strength between 0.75 and 1 for a new background based on the prompt. The speaker also recommends setting a random seed for variation and suggests generating multiple out paintings at once by adjusting the batch size.
Mindmap
Keywords
💡Outpainting
💡ControlNet
💡Inpainting
💡Llama
💡Stable Diffusion
💡Extensions Tab
💡Prompt
💡Image to Image
💡Sampling Method
💡Denoise Strength
💡Batch Size
Highlights
Outpainting in ControlNET is better than Photoshop
Update ControlNET for new inpainting features
Inpainting button loads the inpainting method
Automatic download of the inpainting model
Outpainting directly in text-to-image has limitations
Save the image to your drive for outpainting
Use 'send to image to image' for outpainting
Load both inpaint only and Llama models
Select 'inpaint only plus Llama' for better results
Control mode should be set to 'Control Net'
Set 'resize and fill' to maintain image ratio
Use DPM++ 2sa Keras for the sampling method
Set resolution for desired image size
High denoise strength creates a new background
Use a random seed for variation in outpainting
Generate multiple outpaintings with batch size
Results with 0.8 denoise setting are beautiful and consistent
Comparison of outpainting from different scenes