Image Generator

The ImageGenerator toolkit is a powerful feature of the OpenAI with unity asset that allows developers to generate images from textual descriptions within Unity, harnessing the capabilities of OpenAI's DALL-E models.

Step 1: Creating an ImageGenerator Instance

  1. Navigate to the Unity Editor's top menu and select Assets > Create > Glitch9/OpenAI/Toolkits > Image Generator.

  2. An instance of ImageGenerator will be created in your Project view. Click on this instance to access its settings in the Inspector window.

Step 2: Configuring the ImageGenerator

  1. Model: Choose between DALL-E 2 or DALL-E 3, depending on your image generation needs.

  2. Image Size: Select the desired output size for your generated images.

  3. Image Quality: Choose the quality level of the generated images.

  4. Image Style: Pick a style that will influence the aesthetic of the generated images.

  5. Image File Path: Define the path where the generated images will be saved.

Step 3: Using ImageGenerator in Your Script

  1. Assign the ImageGenerator instance to a script that will handle image generation requests.

  2. Utilize the provided methods such as CreateImages, EditImage, and CreateVariations to generate images based on text prompts or edit existing ones.

Step 4: Generating Images

  1. To generate new images, call the CreateImages method with a text prompt and the number of images you wish to generate.

  2. This method is asynchronous. Use await or UniTask to wait for the generation to complete.

Step 5: Editing and Creating Variations of Images

  1. Use the EditImage method to make alterations to an existing image based on a new prompt.

  2. To explore different styles or variations of an image, use the CreateVariations method with the original image and desired number of variations.

Step 6: Handling the Generated Images

  • Once images are generated, you can retrieve them from the results list.

  • Use these images within your Unity scene, or provide functionality for the user to save or export them.

Step 7: Customizing and Error Handling

  • Adjust the model, size, quality, and style parameters based on user input or predefined settings to customize the image generation process.

  • Implement error handling to catch any issues that may occur during the image generation process, such as invalid prompts or API errors.

Step 8: Cleanup and Resource Management

  • After generating images, you may need to manage the memory used by the textures, especially if generating large or numerous images.

  • Ensure that generated images are properly disposed of when no longer needed to free up resources.

Best Practices

  • Provide clear and descriptive prompts to improve the quality of the generated images.

  • Be mindful of the image generation limits imposed by the OpenAI API.

  • Regularly update the file path to avoid overwriting previous images.