OpenAI's New GPT Image Model API in 5 Minutes 📸

Developers Digest
23 Apr 202504:50

TLDROpenAI has launched the GPT Image 1 model API, allowing developers to integrate high-quality images into their tools and platforms. Available to all developer tiers, it offers image generation with customizable moderation parameters. Pricing starts at $5 per million input tokens, with output costing $40 per million tokens. The API supports various image qualities, aspect ratios, and formats like JPEG and WEBP, and includes features like impainting for refining images. However, it may struggle with text placement and maintaining visual consistency. The playground at platform.openai.com/playground/images offers examples but incurs API costs.

Takeaways

  • 🚀 OpenAI has released a new GPT Image 1 model API, allowing developers to integrate high-quality images into their tools and platforms.
  • 📈 Image generation was introduced in ChatGPT last month and became extremely popular, with over 130 million users creating more than 700 million images in the first week.
  • 🌐 The GPT Image 1 model is accessible from any developer tier on the OpenAI platform.
  • 🛡️ The API includes moderation parameters to control the level of filtering for image generation, with options for standard or less restrictive settings.
  • 💰 Pricing is $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output, translating to approximately 2, 7, or 19 cents per generated image for low, medium, and high-quality square images.
  • 💻 The OpenAI playground allows users to experiment with the API, though it still incurs API costs.
  • 🎨 The API supports various features, including impainting, which allows users to edit specific parts of an image by uploading a mask.
  • 🖼️ Users can specify aspect ratios (square, portrait, landscape) and quality options (low, medium, high) for generated images.
  • 🔗 Generated images are available in JPEG or WEBP formats, and the API supports transparency and output compression.
  • ⚠️ The model may struggle with complex prompts, text placement, clarity, and maintaining visual consistency for recurring characters or brand elements.
  • 📈 Lower quality images require fewer tokens and are less expensive, while high-quality images like portrait mode can be more costly, with token counts ranging from 272 to 6,240.

Q & A

  • What is the new feature released by OpenAI through their API?

    -OpenAI has released a new GPT Image 1 model through their API, which allows for high-quality image generation.

  • How popular was the image generation feature when it was introduced in ChatGPT?

    -When image generation was introduced in ChatGPT, it quickly became one of the most popular features. Over 130 million users created more than 700 million images in just the first week.

  • Which companies have already integrated the GPT Image 1 model into their products?

    -Companies such as Adobe, AirTable, Figma, and Gamma have already integrated the GPT Image 1 model into their products.

  • What are the pricing details for using the GPT Image 1 model API?

    -The pricing is $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output. This roughly translates to 2, 7, or 19 cents per generated image for low, medium, and high-quality square images respectively.

  • What is the 'playground' mentioned in the transcript, and how can it be accessed?

    -The 'playground' is a place where developers can test the GPT Image 1 model. It can be accessed at platform.openai.com/playground/images. However, it is important to note that using the playground still incurs API costs.

  • What is impainting, and how can it be used?

    -Impainting is a process where you can edit particular parts of an image by uploading an image and a mask indicating which area should be replaced. This feature allows for refining images without having to reprompt the entire image generation process.

  • What are the available aspect ratios and quality options for generated images?

    -The available aspect ratios are square, portrait, and landscape. The quality options are low, medium, and high.

  • What are the limitations of the GPT Image 1 model?

    -The model can struggle with text placement and clarity, and it may have difficulty maintaining visual consistency for recurring characters or brand elements across multiple generations. Complex prompts can also take up to 2 minutes to process.

  • What format are the generated images in, and do they support transparency?

    -The generated images are either in JPEG or WEBP format, and they do support transparency, allowing for transparent backgrounds if desired.

  • How can developers integrate the GPT Image 1 model into their own tools?

    -Developers can use the OpenAI SDK to make a request by specifying the GPT Image 1 model and the prompt. They can also leverage features like impainting to refine images.

Outlines

00:00

🚀 OpenAI's GPT Image 1 Model Release

OpenAI has released the GPT Image 1 model through its API, following the successful introduction of image generation in ChatGPT last month. Over 130 million users created more than 700 million images in the first week. This new model allows developers to integrate high-quality images into their tools and platforms. Accessible from any developer tier, it requires validation through the OpenAI API. Companies like Adobe, Airtable, Figma, and Gamma already use it. The API includes moderation parameters for image generation, with options for standard or less restrictive filtering. Pricing is $5 per million tokens for input, $10 for image input, and $40 for output, translating to 2, 7, or 19 cents per generated image based on quality. The playground at platform.openai.com/playground/im offers examples and allows users to experiment with the API, though costs still apply. Users can specify image quality, aspect ratio, and output compression. The model supports transparency and various image formats but may struggle with complex prompts, text placement, and consistency across multiple generations. Lower quality images require fewer tokens and cost less. The video concludes by encouraging viewers to comment, share, and subscribe.

Mindmap

Keywords

💡GPT Image Model API

The GPT Image Model API is a new tool released by OpenAI that allows developers to integrate high-quality image generation capabilities into their own applications. This API is central to the video's theme as it represents the latest innovation in AI-driven image creation. In the script, it is mentioned that OpenAI has released their 'brand new GPT image 1 model through their API,' enabling developers to access this powerful image generation feature directly from any developer tier.

💡Image Generation

Image generation refers to the process of creating new images using artificial intelligence. In the context of this video, image generation is a key feature of the GPT Image Model API. The script highlights that over 130 million users created more than 700 million images in just the first week after the introduction of image generation in ChatGPT, demonstrating its popularity and importance. The API allows developers to leverage this capability to generate images based on text prompts or by editing existing images.

💡Developer Integration

Developer integration refers to the process of incorporating new tools or features into existing software or platforms. In this video, the focus is on how developers can easily integrate the GPT Image Model API into their own tools and platforms. The script mentions that 'developers can easily integrate high-quality professional-grade images directly into their own tools,' emphasizing the ease and potential impact of this integration for various applications.

💡Moderation Parameters

Moderation parameters are settings that control the filtering of generated content to ensure it meets certain standards. In the context of the GPT Image Model API, these parameters allow users to set the level of filtering for image generation requests. The script explains that users can choose between 'auto mode' for standard filtering or 'low' for less restrictive filtering, which helps manage the appropriateness and quality of the generated images.

💡Pricing

Pricing refers to the cost associated with using the GPT Image Model API. In the video, pricing is an important aspect discussed to understand the feasibility of using this API. The script provides detailed pricing information: $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output. It also translates this into approximate costs per generated image, such as 2, 7, or 19 cents for low, medium, and high-quality square images respectively.

💡Playground

The playground is an interactive platform provided by OpenAI where users can experiment with the GPT Image Model API. It is mentioned in the script as a place where users can access the model and try out different examples, such as generating business cards or logos. However, it is also noted that using the playground incurs API costs, emphasizing that it is not a free trial area but a space for testing and learning with real costs.

💡Impainting

Impainting is a feature of the GPT Image Model API that allows users to edit specific parts of an image by uploading the image along with a mask indicating which area should be replaced. This is a powerful tool for refining images. The script provides an example of using impainting to replace the contents of a pool with a flamingo, demonstrating how this feature can be used to make precise edits to existing images without starting from scratch.

💡Aspect Ratios

Aspect ratios refer to the proportional relationship between the width and height of an image. In the context of the GPT Image Model API, users can specify different aspect ratios for the generated images, such as square, portrait, or landscape. This flexibility allows developers to create images that fit specific design requirements. The script mentions that users can select different aspect ratios when using the API, highlighting its versatility.

💡Output Compression

Output compression refers to the process of reducing the file size of generated images while maintaining their quality. In the video, it is mentioned that users can specify the compression level for the generated images, which can be useful for optimizing images for web use or other applications. The script notes that the API supports specifying the output compression level, giving users control over the balance between image quality and file size.

💡Complex Prompts

Complex prompts are detailed text inputs used to guide the image generation process. In the context of the GPT Image Model API, complex prompts can take longer to process, up to 2 minutes, as mentioned in the script. This highlights the computational intensity of generating high-quality images based on intricate descriptions. The script also notes that while the model has improved, it can still struggle with text placement, clarity, and maintaining visual consistency for recurring elements, which are challenges associated with complex prompts.

Highlights

OpenAI released the GPT Image 1 model API.

Image generation was introduced in ChatGPT last month and became very popular.

Over 130 million users created more than 700 million images in the first week.

The GPT Image 1 model is now available through the OpenAI API.

Developers can integrate high-quality images into their tools and platforms.

The API is accessible from any developer tier of OpenAI.

Companies like Adobe, AirTable, Figma, and Gamma already use this feature.

The API includes moderation parameters for image generation.

Pricing is $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output.

Generated images cost approximately 2, 7, or 19 cents each for low, medium, and high-quality square images.

The playground for testing is available at platform.openai.com/playground/images.

The playground includes examples of business cards, logos, and instructions.

Users can specify aspect ratios, quality, and the number of images to generate.

The API supports impainting, allowing users to edit specific parts of an image.

Generated images are available in JPEG or WEBP formats with support for transparency.

Complex prompts may take up to 2 minutes to process.

The model may struggle with text placement, clarity, and consistency across multiple generations.