4o Image Generation (openai.com)

Article summary

The article discusses OpenAI's new image generation feature in GPT-4o, which generates images using an autoregressive approach, similar to the original DALL-E. The feature is slow, taking around 30 seconds per image, but produces high-quality images. The article's content is not directly available, but the discussion reveals that the feature is now available to various users, including Plus, Pro, Team, and Free users. The image generation capability is expected to be available to developers via the API in the coming weeks.

Main themes

• Image Generation
• AI Models
• Autoregressive Approach
• Diffusion Models
• Multimodal Integration
• AI Startups

What commenters say

• The new image generation feature in GPT-4o is slow, but the quality of the generated images justifies the wait.
• The feature's autoregressive approach is a significant improvement over diffusion models, allowing for better prompt understanding and image quality.
• The animation of the image generation process is misleading, and the model is actually using a multi-stage diffusion model with upscalers.
• The launch of GPT-4o's image generation feature is seen as a threat to AI startups and digital artists, potentially disrupting the industry.
• The feature's capabilities are not just a simple improvement, but a significant change that opens up new possibilities for image generation and transformation.
• The timing of the launch is seen as strategic, potentially in response to Google's Gemini 2.5 launch, and indicates a competitive landscape in the AI industry.
• The use of text prompts for image generation is limited, and structural editing and control nets are more powerful tools for creative work.
• The new feature may not replace human artists, but rather augment their capabilities, and control nets have been seen as the future of image generation for some time.