How to Turn Anime into Realistic Photos for FREE

AI Search
8 Sept 202315:59

TLDRIn this tutorial, viewers are shown how to convert anime images into realistic photos using two platforms: Cart and Automatic1111. Both utilize stable diffusion technology. Cart is user-friendly and quick to set up, while Automatic1111 offers more customization but requires more effort to set up. The process involves uploading an image, describing it in a prompt, selecting a model or checkpoint, and adjusting parameters such as denoising strength and sampling steps. The tutorial demonstrates the conversion of various anime characters into realistic images, noting that results may vary and may require multiple attempts. The video also mentions a vocal AI tool for cloning voices and creating text-to-speech in different languages. Finally, the presenter highlights a website for discovering AI tools.

Takeaways

  • 🎨 **Free Realistic Anime Conversion**: The video demonstrates how to turn any anime image into a realistic photo without needing a powerful GPU or computer, and all for free.
  • 🚀 **Two Platforms**: The tutorial covers two platforms, Cart and Automatic1111, with Cart being quicker to set up and Automatic1111 offering more customization.
  • 📈 **Stable Diffusion Usage**: Both platforms utilize stable diffusion to generate images, which is a key technology for the conversion process.
  • 📷 **Image to Image Process**: Users are guided through uploading an image and using prompts to guide the AI in generating a realistic photo.
  • 💡 **Intelligent Analysis**: Cart has a feature that suggests prompts and models based on the uploaded image, though manual input is also possible.
  • 🔍 **Model Selection (Checkpoints)**: Choosing the right model or checkpoint affects the style of the generated image, with Henix being a robust choice for realistic looks.
  • ⚙️ **Customization Options**: Parameters like denoising strength, image quantity, and sampling method can be adjusted for better control over the output.
  • 🔍 **Negative Prompts**: These are used to guide the AI away from undesired elements or styles in the generated images.
  • 🖼️ **Image Quality and Aspect Ratio**: The tutorial emphasizes selecting the right image quality and maintaining the original aspect ratio for better results.
  • 🛠️ **Iterative Process**: The process may require several iterations to achieve the perfect image, as AI-generated images can have artifacts or inaccuracies.
  • 🌐 **Free but Limited**: While Cart is free, it has usage limits based on credits, whereas Automatic1111 is completely free and open-source with no limits.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to turn any anime image into a realistic photo for free using two different platforms, Cart and Automatic1111.

  • What are the two platforms mentioned for converting anime images to realistic photos?

    -The two platforms mentioned are Cart and Automatic1111.

  • What is stable diffusion?

    -Stable diffusion is a technology used by both Cart and Automatic1111 to generate images from the uploaded anime images.

  • How does Cart suggest prompts for the image?

    -Cart has an intelligent analysis feature that auto suggests prompts based on the image you upload.

  • What is a checkpoint in stable diffusion?

    -A checkpoint in stable diffusion is a model that determines the style of the generated image.

  • What is the role of denoising strength in the image generation process?

    -Denoising strength determines how much the new image should follow the original image, with higher values resulting in more deviation from the original.

  • What is the aspect ratio of the image of Amelia from Re:Zero?

    -The aspect ratio of the image of Amelia from Re:Zero is roughly 1:1.

  • How can you save the generated realistic image?

    -You can save the generated realistic image by right-clicking on it and then selecting 'Save Image'.

  • What is the sponsor of the video?

    -The sponsor of the video is My Vocal AI, a tool for cloning voices and using them for text-to-speech.

  • What is the limitation of using Cart?

    -Cart isn't completely free and has limits on the number of images you can generate, which is based on a credit system.

  • How can you run Automatic1111 without installing it locally?

    -You can run Automatic1111 using Google Colab, which allows you to leverage Google's servers for machine learning tasks.

  • What is the purpose of the CFG scale in the image generation process?

    -The CFG scale determines how closely the AI follows your prompt, with higher values leading to a more literal interpretation of the prompt.

Outlines

00:00

🎨 Converting Anime to Realistic Photos with C and Auto1111

This paragraph introduces the process of transforming anime images into realistic photos using two platforms: C (quick and easy) and Auto1111 (more complex but customizable). Both platforms utilize stable diffusion technology. The tutorial guides users through signing up, selecting the 'image to image' option, and uploading an image. It emphasizes the importance of describing the image in the prompt to guide the AI, and selecting the appropriate model (hen miix for a realistic look). The denoising strength and image quantity are also discussed, with a demonstration of the results and how to save them. The process is repeated with different characters to show the versatility of the technique.

05:02

🖼️ Customizing Realistic Image Generation with Auto1111

The second paragraph focuses on using the Auto1111 platform for more customized image generation. It explains the process of setting up Auto1111 using Google Colab, which provides free access to a powerful GPU. The user is guided to find and load a checkpoint, such as 'henix real', to define the style of the generated image. The tutorial covers aspects like the positive prompt, negative prompt, sampling method, sampling steps, image dimensions, and batch count. It also discusses the CFG scale and denoising strength, which control how closely the AI follows the prompt and the original image, respectively. The results for different characters are shown, highlighting the need for multiple iterations to achieve the best outcome.

10:03

🔗 Using GitHub for Easy Auto1111 Setup and Image Customization

This paragraph details how to use a GitHub resource by no latama to simplify the setup process for Auto1111. It guides users to find and copy the URL of the desired checkpoint, then paste it into Google Colab to load the interface with the selected checkpoint. The tutorial covers the image-to-image process in Auto1111, including uploading an image, setting prompts, selecting the sampling method, and adjusting the sampling steps and image dimensions. It also explains how to set the batch count and CFG scale for generating multiple images and how to control the adherence to the prompt. The results for various characters are presented, and the process of saving the generated images is shown.

15:04

🌟 Wrapping Up: Free Tools for Realistic Image Generation

The final paragraph summarizes the two platforms, C and Auto1111, which can be used free of charge to generate realistic-looking images from anime. It reminds viewers of the limitations of C and suggests Auto1111 as an alternative for those who require more freedom or face credit limitations. The tutorial also mentions a sponsor, Vocal AI, which is a tool for cloning voices and creating text-to-speech outputs. The video concludes with a prompt to like, subscribe, and visit a website for searching AI tools, indicating the end of the tutorial.

Mindmap

Keywords

💡Anime

Anime refers to a style of animation that originated in Japan and is characterized by colorful artwork, fantastical themes, and vibrant characters. In the video, the term is used to describe the type of images that the viewer wants to transform into realistic photos using the described platforms and techniques.

💡Realistic Photos

Realistic Photos are images that closely resemble real-life subjects in terms of appearance and detail. The video's main theme is teaching viewers how to convert anime images into these types of photos, making them look more lifelike and less like traditional animated cartoons.

💡Stable Diffusion

Stable Diffusion is a term used to describe a type of image generation model that uses AI to create new images from existing ones. It's central to the video's process as it's the underlying technology that both platforms, C and Automatic1111, utilize to generate realistic images from anime.

💡C

C, in this context, refers to a platform or tool that the video uses to demonstrate the conversion process. It's described as quick and easy to set up, contrasting with the second platform, Automatic1111, which is more complex but offers more customization options.

💡Automatic1111

Automatic1111 is another platform mentioned in the video for turning anime images into realistic photos. It's noted as being more complicated to set up than C but offers greater customization, making it a suitable choice for users who want more control over the image generation process.

💡Checkpoint

A checkpoint in the context of Stable Diffusion is a saved state or model that determines the style of the generated image. Different checkpoints can produce different visual outcomes, such as an 'anime pastel' feel or a more photorealistic look. The video instructs viewers on selecting the appropriate checkpoint for their desired image style.

💡Denoising Strength

Denoising Strength is a parameter that controls how much the new image should adhere to the original image's details. A higher value results in a more distinct image from the original, while a lower value retains more of the original image's characteristics. It's a key setting in the image generation process described in the video.

💡Image Quantity

Image Quantity refers to the number of images the user wants to generate from a single input. The video mentions setting this to two, indicating that the user can produce multiple variations of the realistic image from one anime source image.

💡Sampling Method

The Sampling Method is the algorithm used by the AI to create the image. Different methods can affect the speed and quality of the image generation. The video discusses using specific sampling methods like '2M1' for better quality, despite potentially longer processing times.

💡CFG Scale

CFG Scale is a parameter that dictates how closely the AI follows the user's prompt when generating an image. A lower value means the AI will be less constrained by the prompt, while a higher value will make the output more closely match the user's description. The video suggests a default value of seven for a balance between adherence and creativity.

💡Negative Prompt

A Negative Prompt is a set of instructions that tells the AI what not to include in the generated image. In the context of the video, it's used to refine the image generation process by specifying elements that should be avoided in the final output.

Highlights

The video demonstrates how to transform any anime image into a realistic photo for free.

Two platforms are introduced: Cart, which is quick and easy to set up, and Automatic1111, which is more customizable but complex.

Both platforms utilize stable diffusion to generate images.

Cart offers an auto-suggestion feature for prompts based on the uploaded image.

The tutorial shows how to manually describe the image to guide the AI for a photorealistic conversion.

Different models or checkpoints can be selected to determine the style of the generated image.

Henix is recommended as a robust model for realistic-looking images.

Denoising strength and image quantity can be adjusted to refine the output.

The aspect ratio and image mode can be set according to the original image's properties.

The sampling method and steps determine the AI's algorithm and training iterations for image creation.

CFG scale adjusts how closely the AI adheres to the provided prompt.

Results may have minor imperfections but can be largely realistic.

The video provides a step-by-step guide for using both Cart and Automatic1111.

Cart has a daily credit refresh, but Automatic1111 is completely free with no limits.

Google Colab can be used to run Automatic1111, leveraging Google's servers for machine learning tasks.

Civit AI is a resource for browsing different checkpoints for image style customization.

A GitHub resource by nolatama simplifies the process of loading checkpoints in Google Colab.

Batch count determines how many images are generated in one operation.

The final images can be saved directly from the platforms.

The video concludes with a demonstration of the process using various anime characters.