Elon Musk’s xAI Adds Image Generation Capabilities to Its API
New Image Generation Model
Elon Musk’s AI company, xAI, has recently added image generation capabilities to its API. The company has introduced a new model, "grok-2-image-1212," which can generate up to 10 images per request in JPG format, priced at $0.07 per image.
Comparison with Other Providers
For comparison, AI startup Black Forest Labs, with which xAI partnered last year to launch image generation on Musk’s social network X, charges around $0.05 per image. Another popular image model provider, Ideogram, charges $0.08 on the higher end.
Limitations of the Current Model
In its documentation, xAI notes that the API doesn’t support adjusting the quality, size, or style of images yet. Additionally, prompts in requests are subject to revision by a "chat model."
xAI’s Ambitions
xAI, which launched its API in October 2024, is reportedly meeting with investors about a potential $10 billion funding round that could bring its valuation to $75 billion. The company is also expanding its Memphis-based data center to train and run its various models, hinting at its other ambitions.
Recent Acquisition and Expansion
Recently, xAI acquired a generative AI video startup, further solidifying its position in the AI landscape.
Conclusion
The addition of image generation capabilities to xAI’s API marks an exciting development in the company’s growth and ambitions. With its recent acquisition and expansion, xAI is poised to become a major player in the AI industry.
FAQs
Q: How many images can be generated per request?
A: Up to 10 images per request.
Q: What is the price per image?
A: $0.07 per image.
Q: Does the API support adjusting image quality, size, or style?
A: No, the API does not support adjusting these attributes yet.
Q: How does xAI’s pricing compare to other providers?
A: xAI’s pricing is comparable to other providers, with Black Forest Labs charging slightly less and Ideogram charging more.
Q: What are xAI’s plans for future development?
A: xAI is reportedly meeting with investors about a potential $10 billion funding round and is expanding its data center to train and run its models.
