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, enabling developers to integrate high-quality images into their tools. It offers image generation with customizable aspect ratios, quality settings, and impainting for refining images. The API includes moderation parameters and costs $5 per million input tokens, $10 per million image input tokens, and $40 per million output tokens. Generated images are available in JPEG or WEBP formats with support for transparency. While powerful, the model may struggle with text placement, clarity, and consistency across multiple generations.

Takeaways

  • 🚀 OpenAI has released the GPT Image 1 model via their API, allowing developers to integrate high-quality images into their tools and platforms.
  • 📈 Image generation in ChatGPT 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, but requires validation of identification.
  • 🛡️ The API includes moderation parameters for image generation, allowing for standard or less restrictive filtering.
  • 💰 Pricing for the API is $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output.
  • 🔍 The cost per generated image is estimated at 2, 7, or 19 cents for low, medium, and high-quality square images, respectively.
  • 🎨 The OpenAI playground provides examples and allows users to experiment with different image generation settings, though API costs still apply.
  • 🖼️ Users can specify image aspect ratios (square, portrait, landscape) and quality options (low, medium, high) for generated images.
  • 📝 The API supports impainting, a feature that allows editing specific parts of an image by uploading an image and a mask.
  • ⚙️ Generated images can be in JPEG or WEBP format, with options for output compression and transparency.
  • ⚠️ Limitations include potential struggles with text placement, clarity, and maintaining visual consistency for recurring elements across multiple generations.

Q & A

  • What is the main feature of OpenAI's new GPT Image 1 model API?

    -The main feature of OpenAI's new GPT Image 1 model API is the ability to generate high-quality, professional-grade images that can be easily integrated into various tools and platforms.

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

    -The image generation feature in ChatGPT became extremely popular, with over 130 million users around the globe creating more than 700 million images in just the first week.

  • Which companies have already integrated this image generation feature into their products?

    -Companies such as Adobe, Air Table, Figma, and Gamma have already integrated the image generation feature 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 platform where users can experiment with the GPT Image 1 model. It can be accessed at platform.openai.com/playground/images.

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

    -Impainting is a process where users can edit particular parts of an image by uploading an image and a mask indicating which area should be replaced. It allows users to refine images by specifying changes to specific areas.

  • 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 file formats are supported for the generated images?

    -The generated images are available in JPEG or WEBP formats. Additionally, the model supports transparency, allowing for transparent backgrounds.

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

    -Some limitations include the potential for longer processing times (up to 2 minutes) for complex prompts, challenges with precise text placement and clarity, and difficulties maintaining visual consistency for recurring characters or brand elements across multiple generations.

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

    -Developers can integrate the GPT Image 1 model by using the OpenAI SDK. They need to specify the GPT image model and the prompt. They can also use impainting to edit specific parts of an image by uploading an image and a mask.

  • What is the purpose of the moderation parameters in the image generation API?

    -The moderation parameters allow users to set the level of filtering for the generated images. They can choose 'auto' mode for standard filtering or 'low' for less restrictive filtering.

Outlines

00:00

🚀 OpenAI's GPT Image 1 Model Release

OpenAI has released the GPT Image 1 model through its API, building on the success of image generation introduced 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 from any developer tier. However, users must validate their identification through the OpenAI API. Companies like Adobe, Air Table, Figma, and Gamma have already integrated this feature. The API includes moderation parameters for image generation, with options for standard or less restrictive filtering. Pricing is set at $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, respectively.

🔍 Exploring the OpenAI Playground

The OpenAI playground at platform.openai.com/playground/images offers numerous examples of how to use the GPT Image 1 model, including creating business cards, logos, and adding instructions. Users can select different aspect ratios (square, portrait, landscape) and quality options (low, medium, high). The playground also allows specifying the number of images to generate. However, it is important to note that using the playground incurs API costs, as it is not a free trial area. The model supports features like impainting, where users can edit specific parts of an image by uploading a mask. This feature is useful for refining images without repeatedly prompting the model. Requirements for impainting include matching the mask format and size to the original image and including an alpha channel in the mask image.

🎨 Customization and Limitations of GPT Image 1

The GPT Image 1 model offers customization options such as specifying aspect ratios, quality settings, and output compression levels. It supports transparency, allowing users to create images with transparent backgrounds. However, the model has some limitations. Complex prompts can take up to 2 minutes to process. While text handling has improved significantly from the Dolly series, the model still struggles with precise text placement and clarity. Additionally, maintaining visual consistency for recurring characters or brand elements across multiple generations can be challenging. In terms of cost and latency, lower-quality images require fewer tokens and are less expensive, while higher-quality images, such as high-setting portraits, require more tokens and incur higher costs. For example, a square low-quality image uses 272 tokens, while a high-quality portrait uses 6,240 tokens. The pricing is based on $40 per million tokens of output.

Mindmap

Keywords

💡GPT Image Model API

The GPT Image Model API is a new tool released by OpenAI that allows for the generation of high-quality images through their API. This is a core concept of the video as it introduces the main subject being discussed. The video explains how developers can now integrate this image generation capability into their own tools and platforms. For example, it mentions that companies like Adobe, Air Table, and Figma are already using this feature within their products.

💡Image Generation

Image generation refers to the process of creating new images using artificial intelligence. In the context of this video, it is a key feature of the GPT Image Model API. The video highlights how OpenAI's image generation quickly became popular, with over 130 million users creating more than 700 million images in just the first week. It also discusses how developers can use this feature to generate images directly through the API.

💡Developer Tier

A developer tier refers to the different levels of access and features available to developers using OpenAI's API. The video mentions that the GPT Image Model API can be accessed from any developer tier, meaning that developers at various levels can utilize this new image generation capability. This shows the accessibility of the tool to a wide range of developers.

💡Validation

Validation in this context means verifying one's identity through the OpenAI API. The video notes that developers need to validate their identification to access the GPT Image Model API. This is an important step to ensure secure and authorized use of the API, as it helps prevent misuse or unauthorized access.

💡Moderation Parameters

Moderation parameters are settings that control the filtering of generated images. The video explains that developers can set auto mode for standard filtering or choose a low setting for less restrictive filtering. This allows developers to manage the content of the images generated through the API, ensuring they meet certain standards or guidelines.

💡Pricing

Pricing is a crucial aspect of using the GPT Image Model API. The video provides details on the cost, mentioning that it is $5 per million tokens of input, $10 per million tokens of image input, and $40 per million tokens of output. This information is essential for developers to understand the financial implications of using the API, especially when generating a large number of images.

💡Playground

The playground is a platform where developers can experiment with the GPT Image Model API. The video mentions that the playground is available at platform.openai.com/playground/images and provides various examples of how to use the API. However, it also notes that using the playground still incurs API costs, emphasizing that it is not a free trial area.

💡Impainting

Impainting is a feature that allows users to edit specific parts of an image by uploading an image and a mask indicating which area should be replaced. The video provides an example of using impainting to replace the contents of a pool with a specified image. This feature is highlighted as a powerful tool for refining and customizing generated images.

💡Aspect Ratios

Aspect ratios refer to the dimensions of the generated images, such as square, portrait, or landscape. The video explains that developers can specify the aspect ratio when using the GPT Image Model API. This flexibility allows users to create images that fit their specific needs and requirements.

💡Tokens

Tokens are units used to measure the input and output of the API. The video discusses how the pricing of the GPT Image Model API is based on tokens, with different costs for input, image input, and output. Understanding tokens is important for developers to manage the costs associated with using the API, as the number of tokens used affects the overall expense.

Highlights

OpenAI released the GPT Image 1 model through their API.

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

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

The GPT Image 1 model is available for integration into developers' tools and platforms.

Access to the model requires validation through the OpenAI API.

Companies like Adobe, Air Table, Figma, and Gamma already have 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 per image for low, medium, and high quality square images.

The playground at platform.openai.com/playground/images provides examples and options for using the API.

The playground allows selecting aspect ratios, quality, and 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 and support transparency.

Complex prompts can take up to 2 minutes to process.

The model can struggle with text placement, clarity, and maintaining visual consistency.