Stable Diffusion - Perfect Inpainting and Outpainting!

Nerdy Rodent
28 Oct 202211:22

TLDRThis video tutorial guides viewers through the process of using Stable Diffusion 1.5 for perfect inpainting and outpainting in their artwork. It starts with a simple prompt and progresses through various stages, including adding different artists' styles, experimenting with rendering engines like Unreal Engine and Blender, and refining the image with inpainting techniques. The tutorial demonstrates how to achieve a desired sci-fi art style, fix common issues, and ultimately create a compelling image.

Takeaways

  • 🖌️ Start with a simple prompt to generate an initial image using Stable Diffusion.
  • 🔄 Add a random artist to the prompt to see how the generated images change.
  • 🎨 Use the 'rendered in Unreal Engine' trick to give images a 3D model look.
  • 🌟 Experiment with different rendering engines like Blender to add lighting and effects.
  • 👩‍🎨 Outpainting allows extending the image in different directions, starting with the default settings.
  • 🛠️ If outpainting results are not satisfactory, increase the denoising strength.
  • 📜 Correcting the prompt can improve the accuracy of outpainting.
  • 🖼️ Use inpainting for detailed changes like removing signatures or fixing parts of the image.
  • 🔄 Switch to different models for better results in inpainting or outpainting.
  • 🚀 For a more classical realism painting look, avoid the 3D plastic doll rendered look and specify details like 'classical realism' in the prompt.

Q & A

  • What is Stable Diffusion used for according to the script?

    -Stable Diffusion is used for generating images based on textual prompts, with a focus on perfect inpainting and outpainting as described in the script.

  • What is the first step the speaker takes when using Stable Diffusion?

    -The first step the speaker takes is to start with a very simple prompt, such as 'A Portrait of a lady wearing a floral hat'.

  • How does adding a random artist to the prompt affect the generated image?

    -Adding a random artist to the prompt changes the style and appearance of the generated image, potentially altering the background, flowers, and overall genre.

  • What is the 'Unreal Engine trick' mentioned in the script?

    -The 'Unreal Engine trick' refers to adding 'rendered in Unreal Engine' or similar rendering engine names to the prompt to generate images with a 3D model style.

  • Why might someone want to remove the '3D look' from an image?

    -Removing the '3D look' aims to achieve a more classical realism painting style instead of the plastic doll rendered look that comes with 3D rendering.

  • What does the speaker do if they want to change the direction of outpainting?

    -The speaker selects the outpainting direction in the script settings, starting with one direction, such as down, and then tries others like left.

  • How does the speaker address common problems with inpainting, like lines across the image?

    -The speaker suggests increasing the denoising strength or correcting the prompt to better guide the inpainting process.

  • What is the purpose of using different models in the inpainting process?

    -Using different models allows for various effects; for instance, the SD version 1.5 prune dma model is better for making massive changes rather than detailed inpainting.

  • Why might the speaker choose to use inpainting at full resolution?

    -Using inpainting at full resolution can provide more detailed results, although it might sometimes give objects a weird, out-of-focus look.

  • How does the speaker suggest using inpainting to fix parts of an image?

    -The speaker suggests using inpainting to block out unwanted elements like signatures, army bits, or hands by creating a mask over the area to be fixed.

  • What is the final step the speaker describes in creating a sci-fi picture?

    -The final step is to use the inpainting model SD 1.5 to continue painting within the image's existing style and to give it directions for further outpainting.

Outlines

00:00

🎨 Artistic Workflow with Stable Diffusion 1.5

The speaker begins by discussing the challenges of using Stable Diffusion 1.5 for generating art, specifically mentioning the confusion around in-painting and out-painting. They describe their workflow starting with a simple prompt, 'A Portrait of a lady wearing a floral hat', and then generating an image to check if it aligns with their vision. The process involves adding a random artist to the prompt to see how the image changes, and experimenting with different artists and rendering engines like Unreal Engine and Blender to achieve various styles. The speaker also talks about refining the image by adding more details and changing the prompt to include specific elements like roses, a brown woolen hat, and long red hair. They mention the use of 'Unreal Engine trick' to give a 3D model look and the importance of adjusting the prompt to guide the AI in generating the desired output.

05:03

🖌️ Refining Art with In-Painting and Out-Painting Techniques

In this section, the speaker delves into the process of refining an image using in-painting and out-painting techniques. They discuss the use of the 'out painting' script to extend the image in a chosen direction and address common issues like lines that don't fill in properly. The speaker suggests increasing the denoising strength or adjusting the prompt to include more details to achieve better results. They also demonstrate how to use the 'in painting' feature to make specific changes within an image, such as transforming a mountain into a Gothic spaceport. The importance of selecting the right model for in-painting is highlighted, with the speaker suggesting switching to a different model if the desired changes are not being made. The process of fixing elements like signatures or unwanted details using in-painting at full resolution is also covered.

10:03

🚀 Finalizing Sci-Fi Art with Advanced Techniques

The final paragraph focuses on the completion of a sci-fi themed artwork. The speaker continues to refine the image by using in-painting to add details like clouds and adjusting the color of armor. They mention the cleverness of the AI checkpoint, which continues the painting in a way that aligns with the existing image even if given random prompts. The speaker emphasizes the importance of guiding the AI by providing clear prompts to achieve the desired outcome. The video concludes with a suggestion to learn more about these techniques by watching more videos on the topic.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a term referring to a specific version or model within the broader field of AI image generation. In the context of the video, it is an AI model used for creating images based on textual descriptions. The video discusses how to use Stable Diffusion for tasks such as inpainting and outpainting, which are techniques for modifying existing images.

💡Inpainting

Inpainting is a process in image editing where missing or damaged parts of an image are filled in or restored. The video script describes using inpainting to add details or correct parts of an image. For example, the speaker talks about using inpainting to change a mountain in the image to a 'Gothic Spaceport in the distance'.

💡Outpainting

Outpainting is the process of generating new content outside the boundaries of an existing image, effectively extending the image. In the video, outpainting is used to add more to the image, such as extending the image downwards or to the sides, using the AI model to create a seamless continuation of the scene.

💡Prompt

A prompt in the context of AI image generation is the textual description that guides the AI in creating an image. The video script mentions starting with a simple prompt like 'A Portrait of a lady wearing a floral hat' and then experimenting with adding various elements to the prompt to influence the output of the AI.

💡Artist Style

Refers to the distinctive visual art style of a particular artist. In the script, the speaker adds 'add a random artist to the prompt' to influence the AI to generate images in various artistic styles, indicating how the style of generated images can be manipulated.

💡Seed

In AI image generation, a seed is a numerical value that initiates the random number generation process, leading to a specific image outcome. The video mentions 'fix that seed' to reproduce the same image output, which is useful for making consistent edits or comparisons.

💡Unreal Engine

Unreal Engine is a game engine used for creating high-quality 3D content. In the video, the speaker humorously suggests adding 'rendered in Unreal Engine' to the prompt to influence the AI towards generating images with a 3D rendering style.

💡Classical Realism

Classical realism is an art movement characterized by an emphasis on naturalism and realistic representation. The video script mentions aiming for a 'classical realism painting look', indicating a desire for the AI to generate images with a traditional, realistic aesthetic.

💡Sci-fi

Sci-fi, short for science fiction, is a genre that deals with imaginative and futuristic concepts. The video transitions into a sci-fi theme, discussing the creation of a 'cyborg woman with long hair', showing how the AI can be directed to generate images fitting a sci-fi narrative.

💡Concept Art

Concept art is a form of illustration used to convey an idea for use in films, video games, animation, or other media before it is put into the final product. The video mentions 'detailed sci-fi guest armor concept art face' as part of the prompt, demonstrating how concept art can guide the AI in creating images for specific design purposes.

💡Denoising Strength

Denoising strength refers to the intensity with which an AI model reduces noise or random variation in an image. The script mentions adjusting denoising strength to fix issues like lines across an image, showing how it can be tweaked to improve the quality of the generated image.

Highlights

Stable Diffusion is used for perfect inpainting and outpainting in image generation.

Starting with a simple prompt helps in generating the desired image.

Adding a random artist to the prompt can significantly change the generated image.

The artist's style can be specified to achieve a particular look.

Using rendering engines like Unreal Engine or Blender can create a 3D model look.

Removing the 3D look and adding details can lead to a more classical realism painting style.

Inpainting can be used to fill in missing parts of an image.

Outpainting allows extending the image in a chosen direction.

Using the 'Unreal Engine trick' can enhance the sci-fi aesthetic of an image.

Switching between different models can help achieve desired changes in the image.

Inpainting at full resolution can sometimes result in objects looking out of focus.

The SD version 1.5 prune dma model is good for making massive changes to images.

Inpainting can be used to remove unwanted elements like signatures or imperfections.

Re-enabling outpainting after inpainting can help continue the image generation process.

The inpainting model SD 1.5 continues the image's existing style even with random prompts.

Guiding the AI with specific prompts can lead to better results in image generation.

The entire process from start to finish showcases creating an amazing sci-fi picture using Stable Diffusion.