The Concept of Image 2 Image

Using prompts, AI can understand what users want to generate in text-to-image tasks. However, there is an element of randomness in AI-generated images, which means the results might not always meet your expectations. Misunderstandings and transfer bias are common in these scenarios. For example, as a customer trying to communicate your needs to a designer, what can you use besides language? A reference image! The same principle applies to AI-generated images. If prompts alone are insufficient to convey your idea, provide a reference image to the AI. Just like text, an image can be used as information for the AI to analyze. In essence, repainting involves structurally analyzing the pixels of the reference image, making the final output similar to the original image.

Workflow of Image 2 Image

If you are a designer that wish to design series of your work with the same colour and composition, image2image is your best choice. If the result of text to image does not meet your expectations, you should definiately try image2image.

Firstly, you need to find a reference image and upload it. You can do this either by uploading it directly or by dragging and dropping it into Webui.

Next, type in the prompts. As previously mentioned, image-to-image generation also requires prompts, and they are crucial for the process.

Then, adjust the parameters.

"Stop at" and "Weight" control the similarity between the original and generated images. The recommended range is from 0.6 to 0.8. If the value is too high, the image may become distorted, and if it is too low, the "repainting" effect might not be achieved. Lastly, it is suggested to keep the resolution the same as the original image. Then click generate, let's see the result.

Study on the Usage of Random Seeds

The process of AI-generated images is inherently random, but each generation follows its own unique method. This method is recorded as a set of random numbers, known as "random seeds." Using the same random seed will result in many similarities among the generated images, as they are created using the same method. In the seed section, there are two options: clicking the dice icon sets the seed value to -1, which means a new painting style will be used each time an image is generated.

More Applications of Image to Image

Let's explore the applications of image-to-image technology. One example is transforming real photos into cartoons, similar to TikTok effects. However, using Stable Diffusion offers higher accuracy and a larger defining space. This means you can upload an image of an object or a landscape and type prompts describing a human, allowing for object anthropomorphism. The results can be quite interesting.

Additionally, you can bring your favorite manga or game characters to life in a "three-dimensional" form by uploading an image of the character, using realistic models, and crafting detailed prompts. Lora can be employed to enhance and accurately capture the specific features of the character.

How to download Auto1111

For Users Familiar with Python and Git:

1. Download and Install via Git:
2. • If you have a Python environment set up and are comfortable with Git:
   • • Clone the Stable Diffusion repository from GitHub using the following command:
   • git clone https://github.com/StableDiffusion/StableDiffusion.git

• Navigate into the cloned directory (StableDiffusion) and proceed with installation as per the provided documentation.

For Beginners or Those Using an Integration Pack:

1. Download and Install Using an Integration Pack:
2. • Visit the official website of Stable Diffusion or an integration pack provider like auto1111. https://github.com/AUTOMATIC1111/stable-diffusion-webui
   • Download the integration package (typically a zip file).
   • Use decompression software such as Bandzip or WinRAR to extract the downloaded zip file.
   • Or through a cloud service vendor, who generally has Stable diffusion pre-built and setup.
2. Setting Up Stable Diffusion:
3. • Create a new folder on your computer for Stable Diffusion. Ensure the folder path contains only English characters and has sufficient local disk storage.
   • Unzip the contents of the downloaded zip file into this new folder.
3. Running Stable Diffusion:
4. • Locate and double-click the run.bat file within the Stable Diffusion folder.
   • Wait for the application to load; this may take a moment.
   • The Stable Diffusion WebUI homepage should automatically open in your default web browser.
4. Operating Stable Diffusion:
5. 1. Keep the command-line interface (CLI) window open while using the Stable Diffusion WebUI.
   2. Interact with the WebUI through your browser to generate AI images or perform other tasks.
   3. Remember to keep the command-line interface running while using the WebUI, and close it when you're done operating in the browser.