NEW Outpaint for ControlNET - Inpaint_only + Lama is EPIC!!!! A1111 + Vlad Diffusion

Olivio Sarikas
14 Jun 202304:47

TLDRThis video tutorial showcases an advanced technique for outpainting images using ControlNet, a tool that surpasses Photoshop's capabilities. The host guides viewers through updating ControlNet, employing the new inpainting plus llama method, and achieving optimal results. The process involves updating the extension, selecting the appropriate models, and adjusting settings like denoise strength for a more natural extension of the image. The video also demonstrates the effectiveness of the method by generating multiple outpaintings with a high degree of consistency.

Takeaways

  • 🔧 Update ControlNet for better outpainting results by checking for updates in the extensions tab.
  • 🖼️ Use the 'in painting' button in ControlNet to load the inpaint method and model.
  • 📸 Save the desired image to your drive before proceeding with outpainting.
  • 🖌️ Right-click and select 'Send to Image to Image' to extend the image using ControlNet.
  • 🎨 Enable ControlNet and load the image, then click the 'in paint' button to load the models.
  • 📝 Select 'Inpaint Only + Lama' from the list for advanced outpainting.
  • 🔄 Set the control mode to 'Control Net' and adjust the settings for 'resize and fill'.
  • 📏 Set the desired resolution for the outpainted image.
  • 🔄 Choose a high denoise strength (0.75 to 1) to create a new background based on the prompt.
  • 🎰 Use a random seed for variation in the outpainting results.
  • 🏭 Generate multiple outpaintings at once by setting a higher batch size.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to use ControlNet for outpainting in a way that surpasses Photoshop, and how to update it to use the new inpainting plus Llama method for better results.

  • How can viewers update ControlNet according to the video?

    -Viewers can update ControlNet by going to the extensions tab and clicking the 'Check for Updates' button, then applying the update and restarting.

  • What happens when the inpainting button is clicked in ControlNet?

    -When the inpainting button is clicked, it loads the inpainting method and model for use. The model will automatically download the first time it's used.

  • Why is it suggested not to use outpainting directly in text to image?

    -It is suggested not to use outpainting directly in text to image because it offers limited options and does not work as effectively as the method demonstrated 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 use 'Send to Image to Image' and load the image with ControlNet.

  • What is the significance of selecting 'Inpaint Only Plus Llama' in Control Mode?

    -Selecting 'Inpaint Only Plus Llama' in Control Mode is significant because it combines the inpainting method with the Llama model to generate a new background based on the prompt.

  • What is the recommended setting for denoise strength when creating a new background?

    -The recommended denoise strength for creating a new background is between 0.75 and 1, with 1 being the highest value that can create a significantly different image.

  • 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 variations of outpaintings, providing more options and diversity in the results.

  • What is the suggested batch size for generating multiple outpaintings at once?

    -The suggested batch size for generating multiple outpaintings at once is four, as demonstrated in the video.

  • 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.

  • What does the video suggest for viewers in terms of future content?

    -The video encourages viewers to comment on other cool methods they would like to see in future videos and to like the video if they enjoyed it.

Outlines

00:00

🖌️ How to Update Control Net for Out Painting in Stable Diffusion

The script begins with an introduction to using Control Net for out painting in Stable Diffusion, a feature that surpasses Photoshop's capabilities. The speaker announces a tutorial on updating Control Net and utilizing the new in painting plus llama method for enhanced results. The process starts with updating Control Net through the extensions tab and checking for updates. Once updated, the script explains how to access the in painting feature, which automatically downloads the necessary model upon first use. The speaker advises against using out painting directly from text to image due to limited options and inferior results, suggesting an alternative method instead. The alternative involves saving the desired image, using the 'send to image to image' function, and then loading the image with Control Net enabled. The script emphasizes selecting the 'in paint only plus llama' option for the best results and setting the control mode to 'resize and fill' to maintain the image's aspect ratio. The speaker recommends using the sampling method DPM++ 2sa Keras, setting a resolution of 700x1280, and adjusting the denoise strength to between 0.75 and 1 for a new background that aligns with the prompt. The script concludes with a suggestion to set a higher batch size for generating multiple out paintings simultaneously, showcasing the results with a 0.8 denoise setting and encouraging viewers to share their thoughts in the comments.

Mindmap

Keywords

💡ControlNet

ControlNet is a tool used in AI image generation to guide the creation of images based on certain parameters. In the context of the video, it's used for 'out painting', a process where the AI extends the edges of an image to create a larger version. The video demonstrates how to update ControlNet and use it effectively with other methods for better image generation results.

💡Outpainting

Outpainting refers to the process of extending the edges of an image to create additional content beyond the original borders. In the video, the presenter discusses how to use ControlNet and other AI models to perform outpainting, which can result in a more seamless and higher-resolution image than traditional methods.

💡Inpainting

Inpainting is a technique used in image editing where missing or damaged parts of an image are filled in or restored. The video script mentions 'in painting' as a feature within ControlNet that can be utilized. It's part of the process to enhance images, though the main focus is on outpainting in this context.

💡Lama

Lama, in this context, likely refers to a model or method used in conjunction with ControlNet for image generation. The script mentions 'inpaint only plus llama' as an option to select for enhanced outpainting results, suggesting it as an advanced technique for generating more natural and consistent image extensions.

💡Stable Diffusion

Stable Diffusion is a model for generating images from textual descriptions. The video discusses using Stable Diffusion in workflows for effective image creation, indicating that it's a key component in the process of updating ControlNet and achieving the desired outpainting results.

💡Extensions Tab

The Extensions Tab is a part of the user interface where updates for tools like ControlNet can be managed. The video instructs viewers to go to this tab to check for and apply updates, which is a necessary step before utilizing the new features for outpainting.

💡Prompt

A prompt in the context of AI image generation is a textual description that guides the AI in creating an image. The video mentions writing a prompt as the first step in obtaining an image to outpaint, emphasizing the importance of a clear and descriptive prompt for generating the desired base image.

💡Image to Image

Image to Image is a process where an existing image is used as a starting point to create a new, modified image. In the script, after saving the desired image, the presenter uses 'image to image' mode to extend the image using ControlNet and the selected outpainting methods.

💡Denoise Strength

Denoise Strength refers to a setting that affects how much 'noise' or random variation is reduced in the generated image. The video suggests setting a high denoise strength to create a new background that is consistent with the original image prompt, indicating its importance in the outpainting process for achieving a clean result.

💡Sampling Method

The Sampling Method is a technique used in AI image generation that determines how the AI samples from the probability distribution to create the image. DPM++ 2S A Karras is mentioned as a recommended sampling method for the resize process in the video, suggesting it as an effective choice for generating high-quality outpainted images.

💡Batch Size

Batch Size refers to the number of images generated simultaneously in one processing cycle. The video mentions setting a batch size to generate multiple outpaintings at once, which can save time and provide variety in the final results.

Highlights

Update ControlNet for better outpainting than Photoshop.

Check for updates in the Extensions tab.

Use the new inpainting plus llama method for optimal results.

Automatic download of the inpainting model upon first use.

Outpainting can be done directly in Text to Image.

Save the image to your drive before outpainting.

Use Image to Image for outpainting with ControlNet.

Load the image and enable ControlNet for outpainting.

Select 'Inpaint Only Plus Llama' for advanced outpainting.

Set Control Mode to 'ControlNet' for better results.

Resize and fill the image to maintain high resolution.

Use DPM++ 2sa Keras for the sampling method.

Set the desired resolution for outpainting.

Adjust denoise strength between 0.75 and 1 for new background creation.

Use a random seed for variation in outpainting results.

Generate multiple outpaintings with a higher batch size.

Results showcase beautiful and consistent outpainting.

Compare outpainting results from different scenes.