How to Turn Anime into Realistic Photos for FREE

AI Search
8 Sept 202315:59

TLDRIn this tutorial, the host demonstrates how to transform anime images into realistic photos using two free platforms: Cart and Automatic1111. Both platforms utilize stable diffusion to generate images. The process is straightforward, requiring no high-end hardware. With Cart, users can sign up, upload an image, and use a prompt to guide the AI. The Henix model is recommended for a realistic look, with adjustments made to denoising strength and sampling steps. Automatic1111 offers more customization and is open-source, allowing users to run it locally without internet. The host also provides a quick guide on using Google Colab for running Automatic1111, including finding and loading checkpoints for desired image styles. The video concludes with the host showcasing the results of the transformation process, noting that some manual editing may be necessary for perfect results.


  • 🎨 **Free Tools for Realistic Anime Conversion**: The video introduces two platforms, Cart and Automatic1111, which use stable diffusion to convert anime images into realistic photos without requiring a high-end GPU or computer.
  • πŸš€ **Quick Setup with Cart**: Cart is user-friendly and allows for easy sign-up and image upload. It also offers an auto-suggestion feature for prompts based on the uploaded image.
  • πŸ” **Customization with Automatic1111**: While more complex to set up, Automatic1111 provides greater customization options and is completely free and open-source.
  • πŸ“ˆ **Image to Image Process**: Both platforms feature an 'image to image' function where users upload an anime image and provide a description to guide the AI in generating a realistic photo.
  • πŸ’‘ **Intelligent Analysis**: Cart's intelligent analysis can suggest models and prompts, but for a more accurate conversion, it's better to manually describe the image.
  • πŸ” **Model Selection (Checkpoints)**: The style of the output image is determined by selecting a model or checkpoint. Henix is recommended for a robust and realistic look.
  • βš™οΈ **Adjusting Parameters for Quality**: Parameters like denoising strength, image quantity, and sampling method can be adjusted to balance the resemblance to the original image and the level of detail.
  • πŸ–ΌοΈ **Aspect Ratio and Image Size**: Maintaining the original aspect ratio and choosing the right image size are crucial for generating high-quality realistic images.
  • πŸ”— **Using Google Colab for Automatic1111**: Google Colab can be used to run Automatic1111 by leveraging Google's servers and a provided GitHub resource, which simplifies the process.
  • 🌐 **Finding Checkpoints**: Civit AI is a helpful resource for browsing and selecting different checkpoints that define the style of the generated images.
  • πŸ“ **Prompt Crafting**: Crafting an accurate yet simple prompt is essential as the AI uses both the prompt and the original image to generate the output.
  • πŸ’Ύ **Saving the Results**: Once satisfied with the generated image, it can be saved by right-clicking and selecting 'save image'.

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 is Cart and how does it work?

    -Cart is a platform that allows users to convert anime images into realistic photos. It is quick and easy to set up, and it uses stable diffusion to generate images. Users need to sign up or log in, upload an image, and then follow the prompts to generate a realistic photo.

  • What is Automatic1111 and how is it different from Cart?

    -Automatic1111 is another platform for generating realistic images from anime, but it is more complicated to set up and offers more customization options. It is also based on stable diffusion technology. Unlike Cart, it is completely free and open source with no limits on usage.

  • What is stable diffusion and how is it used in these platforms?

    -Stable diffusion is a technology used by both Cart and Automatic1111 to generate images. It is a model that interprets prompts and original images to create new, realistic-looking images.

  • How can users customize the image generation process in Cart?

    -In Cart, users can customize the image generation process by describing the image in their own words, selecting the model or style (called a checkpoint in stable diffusion), adjusting the denoising strength, setting the image quantity, choosing the image mode and size, and selecting the sampling method and steps.

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

    -The denoising strength setting determines how much the new image should follow the original image. A lower value will result in an image that is closer to the original, while a higher value will produce a more distinct and potentially random image.

  • How does the CFG scale setting affect the image generation?

    -The CFG scale setting determines how closely the AI follows the user's prompt. A lower value means the AI will generate images with less regard to the prompt, potentially leading to random results, while a higher value makes the AI adhere more closely to the prompt.

  • What are the limitations of using Cart?

    -Cart is not completely free; it has limits on the number of images that can be generated, which are reflected in the credits consumed per image generation. Users are given a daily refresh of credits, but if this limit is insufficient, they can opt for Automatic1111 which has no such restrictions.

  • How can users find and use checkpoints in Automatic1111?

    -Users can find checkpoints, which define the style of the generated image, on platforms like Civit AI. Once a desired checkpoint is found, it can be downloaded and used in Automatic1111, or users can use resources like the GitHub by nolamata which allows loading the checkpoint with a single click in Google Colab.

  • What is Google Colab and how is it used in the context of Automatic1111?

    -Google Colab is a free cloud service that allows users to run machine learning models using Google's servers, which can provide a powerful GPU for processing. In the context of Automatic1111, Google Colab is used to run the platform without installing it locally, which is especially useful for those without high-end hardware or who wish to avoid additional electricity costs.

  • How can users save the generated realistic images?

    -Once the realistic image is generated and displayed, users can save it by right-clicking on the image and selecting the 'Save Image' option.



🎨 Turning Anime Images into Realistic Photos with C and Auto1111

This paragraph introduces the process of converting anime images into realistic photos using two platforms: C (quick and easy) and Auto1111 (more complex but customizable). Both platforms utilize stable diffusion for image generation. The tutorial walks through signing up for C, selecting the 'image to image' option, and uploading an image. It also covers how to use intelligent analysis for model suggestions, crafting a prompt to guide the AI, and choosing a model (henix) for a realistic look. The denoising strength, image quantity, image mode, image size, negative prompt, sampling method, and sampling steps are explained, along with how they affect the final image. The results are presented, and tips for saving the images are given.


πŸ–ŒοΈ Customizing Realistic Image Generation with Goku and Amelia

The second paragraph demonstrates how to use the platforms to generate realistic images of Goku and Amelia from Re:Zero. It details the process of describing the characters, selecting the aspect ratio, and choosing image quality. The paragraph also discusses the use of negative prompts and the importance of running the image generation. It shows the results for both characters, noting some imperfections but overall satisfactory outcomes. The process of saving the generated images is reiterated.


πŸ“š Using GitHub and Google Colab for Advanced Image Generation

This paragraph explains how to use GitHub and Google Colab for more advanced and customizable image generation with the Auto1111 interface. It guides users on finding and loading checkpoints, specifically the henix real checkpoint, directly into Google Colab with a single click. The interface is then used to upload an image, input positive and negative prompts, select the sampling method, set sampling steps, and choose image dimensions. The paragraph also covers adjusting the batch count, CFG scale, and denoising strength to fine-tune the image generation process. The results for Spirited Away, Goku, and Emelia are shown, with a focus on selecting the best image from the generated options.


🌟 Wrapping Up and Additional Resources

The final paragraph wraps up the tutorial by summarizing the two platforms' capabilities for generating realistic anime images. It encourages viewers to like, subscribe, and stay tuned for more content. Additionally, it promotes a website where users can search for thousands of AI tools to suit various needs. The paragraph also mentions the limitations of the C platform in terms of credit consumption and suggests Auto1111 as an alternative for those facing such limitations.




Anime refers to a style of animation originating from Japan that is characterized by colorful artwork, fantastical themes, and vibrant characters. In the context of the video, the term is used to describe the type of images that are being transformed into realistic photos using the described platforms and techniques.

πŸ’‘Realistic Photos

Realistic photos are images that closely resemble real-life subjects in terms of their appearance and texture. The video's main theme is about converting anime images into these types of photos, which involves using AI and specific models to generate a more lifelike representation.

πŸ’‘Stable Diffusion

Stable Diffusion is a term used to describe a type of AI model that is capable of generating images from textual descriptions. It is the underlying technology that both platforms, 'C' and 'automatic 1111', utilize to create the realistic images from anime inputs.


Cart is mentioned as the first platform that can be used to turn anime images into realistic photos. It is described as quick and easy to set up, suggesting that it has a user-friendly interface and straightforward process for image conversion.

πŸ’‘Automatic 1111

Automatic 1111 is presented as the second platform for image conversion. It is noted to be more complex to set up but offers greater customization options. It represents an alternative for users seeking more control over the image generation process.


A checkpoint in the context of stable diffusion is a specific model or style guide that dictates the look of the generated image. The video mentions 'hen miix' as an example of a checkpoint that produces realistic-looking images.

πŸ’‘Denoising Strength

Denoising strength is a parameter that determines how closely the new image should resemble the original. A higher value results in a more independent image, while a lower value retains more of the original image's characteristics. It is a crucial setting for controlling the transformation process.

πŸ’‘Image Quantity

Image quantity refers to the number of images the AI should generate based on the input. In the video, it is set to two, meaning the AI will produce two different realistic versions of the uploaded anime image.

πŸ’‘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 process. The video discusses 'ooler a' as a fast option and '2 M1' as one that tends to produce higher quality images.

πŸ’‘CFG Scale

CFG scale is a parameter that dictates how closely the AI follows the textual prompt provided by the user. A lower value means the AI will be less constrained by the prompt, potentially leading to more varied or creative results, while a higher value will result in images that closely match the prompt's description.

πŸ’‘Negative Prompt

A negative prompt is a set of instructions or characteristics that the user does not want to be included in the generated image. In the video, it is used to guide the AI to avoid certain styles or elements, ensuring the output aligns with the desired outcome.


Turn any anime image into a realistic photo for free using two different platforms: Cart and Automatic1111.

Cart is quick and easy to set up, while Automatic1111 offers more customization.

Both platforms utilize stable diffusion to generate images.

Cart can auto suggest prompts based on the image uploaded.

The AI uses the original image as a base and the prompt to guide the generation process.

Select a model or checkpoint in stable diffusion to determine the style of the image.

Henix is a robust, realistic-looking model recommended for use.

Denoising strength determines how closely the new image follows the original.

Image quantity and mode allow users to select the number and quality of images generated.

The negative prompt in Cart is preset, but can be customized for specific results.

Sampling method and steps define the AI's algorithm and training iterations for image creation.

CFG scale dictates how closely the AI adheres to the user's prompt.

Results may have artifacts, requiring manual editing or additional generations for perfection.

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

Automatic1111 can be run locally or via Google Collab, leveraging Google's server power.

The GitHub resource by nolatama simplifies the process of loading checkpoints in Google Collab.

Customize the width, height, and batch count in Automatic1111 for greater flexibility.

Save the generated realistic images by right-clicking and selecting 'save image'.

The video also features a voice cloning tool called Vocal AI, showcasing its text-to-speech capabilities.

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