How to Create an AI Image of Goku Using Stable Diffusion

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AI image generation stands at the forefront of rapidly advancing technologies, and one of the most popular techniques for crafting lifelike and imaginative images is stable diffusion. In this blog post, I will guide you through the process of utilizing stable diffusion to create an AI image of Goku, the iconic anime character.

What is AI Image Generation?

AI image generation involves harnessing the power of artificial intelligence to produce captivating images. This cutting-edge technology has been employed to create an array of visuals, ranging from lifelike portraits and breathtaking landscapes to abstract art.

The process behind AI image generation entails training a model on an extensive dataset of images. This model learns to recognize common patterns and features present in these images, enabling it to generate new visuals that adhere to these learned patterns.

AI Image of Goku Using Stable Diffusion

What is Stable Diffusion?

Stable diffusion is a specialized AI image generation technique that revolves around diffusion models. These models commence with a random image and gradually refine it to match the provided prompt. This learning process mirrors the way humans develop their drawing skills, starting with rudimentary shapes and progressively adding intricate details.

Although stable diffusion is relatively new, it has already been responsible for creating stunning images. For instance, the stable diffusion model was instrumental in crafting the following image of Goku:

Why Goku?

I chose to embark on creating an AI image of Goku due to my deep admiration for this beloved anime character. Additionally, I wanted to challenge myself to capture both his likeness and personality in the generated image.


To create your own AI image of Goku using stable diffusion, follow these steps:

1. Gather Your Materials

Ensure you have a powerful GPU-equipped computer, and download the stable diffusion model.

2. Create Your Prompt

Compose a clear and concise text description of the desired image. For instance, your prompt for Goku might read,

"a realistic image of Goku in his Super Saiyan form, standing in front of a majestic mountain range."
Goku using stable diffusion

3. Generate the Image

With your prompt ready, utilize the stable diffusion model to generate the image. The amount of time of this process will depend on the degree of complexity of your prompt.

Prompt from ChatGPT:
"Goku, in his magnificent super saiyan form, engaged in an intense battle with a fearsome adversary, amidst a cosmic arena with swirling galaxies and stars, energy beams colliding all around him, showcasing Goku's rippling muscles, glowing aura, and intense fighting stance, Artwork, digital illustration with vibrant colors and dynamic brush strokes, --ar 16:9 --v 5"
Intense Goku using Stable diffusion
Prompt From ChatGPT:
Goku in an intense fighting stance, surrounded by an epic, hyper-realistic atmosphere. The scene is set in 8k resolution with an ultra-wide-angle cinematography to capture every detail of the moment. The photorealistic composition in Unreal Engine brings out the insanity of the beautifully color-coded environment.

The lighting is meticulously crafted, with halfrear, natural, and moody lighting combining to create an immersive cinematic lighting experience. Soft, volumetric lighting accentuates Goku's dynamic pose as he charges up his Kamehameha, with contre-jour and accent lighting highlighting every contour of his body.

The attention to detail is awe-inspiring, showcasing intricate details and hyper-detailed textures. As Goku channels his power, the optical fibers in his clothes shimmer and glow with realism. The ray-traced reflections and screen space global illumination add an extra layer of realism to the scene, making it feel as if you are witnessing an actual battle.

The color grading is top-notch, with ProPhoto RGB enhancing the vibrant colors and mood of the scene. Depth of field and diffraction grading are used to blur the background slightly, drawing attention to Goku and his powerful attack.

All the graphical elements are pushed to their limits, using advanced shaders and post-processing techniques like OpenGL-Shaders and GLSL-Shaders to achieve a hypermaximalist and elegant look. Chromatic aberration and GB displacement add a touch of surrealism to the visuals.

The final output is a hyper-realistic masterpiece, taking you into the world of Dragon Ball with an intensity that feels almost tangible. The 16:9 aspect ratio completes the immersive experience, making you feel like you're watching an intense battle scene straight out of the anime in stunning 8k resolution. _
8k Goku using stable diffusion

4. Refine the AI Image of Goku Using Stable Diffusion

After the image has been generated, you may need to refine it to enhance its details. Utilize various tools such as cropping, resizing, and color adjustments to achieve the desired result.


Consider these helpful tips when creating your own AI images through stable diffusion:

  • Craft a clear and specific prompt to increase the likelihood of achieving your desired outcome.
  • Experiment with different settings available in the stable diffusion model to control the image’s appearance.
  • Exercise patience, as the generation process may take a few minutes, particularly for intricate prompts.

I encourage you to dive into this exciting endeavor and unleash your creativity!

Additional Information AI Image of Goku Using Stable Diffusion

In addition to the aforementioned steps, keep the following points in mind when crafting AI images using stable diffusion:

  • The image’s quality is heavily reliant on the stability and efficiency of the chosen diffusion model.
  • The generation time is influenced by both the complexity of your prompt and the computational power of your computer.
  • For optimal results, consider refining the image with various editing tools like cropping, resizing, and color adjustments.


Through the implementation of stable diffusion, I have successfully crafted an AI image of Goku. While the image may not be flawless, I am content with the results. This technique showcases the potential to produce awe-inspiring images, and I am eagerly anticipating the creative outputs of others using stable diffusion.


Can I use any AI model for stable diffusion image generation?

While stable diffusion relies on diffusion models, not all AI models are designed for this specific technique. It’s essential to use models specifically tailored for stable diffusion.

What are some other popular AI image generation techniques?

Apart from stable diffusion, other popular AI image generation techniques include Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

Is stable diffusion suitable for all types of images?

Stable diffusion is well-suited for generating various types of images, but the quality and results may vary depending on the complexity of the prompt.

Can I use the generated AI image commercially?

The usage rights of the generated AI image may depend on the specific model and dataset used for stable diffusion. It’s essential to review the terms and conditions before commercial use.

What’s the future of AI image generation?

The future of AI image generation is promising, with ongoing advancements in AI technologies. Expect to see even more realistic and creative AI-generated images in the years to come.

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