OpenAI gpt-image-1 API - Build AMAZING AI Image Apps Here’s How
AI Summary
Video Summary
Introduction
- OpenAI added a GPT image model to the API, which can generate images and edit existing ones.
- Demonstrated the setup of the API and the creation of an app.
Key Features
- Image Generation and Editing: Supports image input and output, including editing, generation, and inpainting.
- Users can select image quality, impacting token usage and cost.
App Demonstration
- Demonstrated inpainting capabilities: users can modify images, such as removing elements or adding tattoos.
- Example of editing an image by removing a necklace and adding a tattoo.
- Original and modified images are displayed for comparison.
API Usage
- Example of a simple Python code snippet to generate images using the GPT image API.
- Showed how to construct prompts and save generated images.
- Confirmed that safety restrictions exist in the API, limiting certain types of image generation.
Multi-Image Generation
- Demonstrated combining multiple images into one using prompts.
- Showcased the output, which integrated multiple elements effectively.
Challenges and Verification
- Mentioned the need for user verification to access the GPT-3 image model, requiring ID submission.
Conclusion
- Positive experience with the image generation model, with low costs for experimentation.
- Encouragement for viewers to explore building their apps using the GPT image model.
- Future videos anticipated covering further developments with this technology.