Pricing for Developers


Output Shape Size default: 1024x1024

Pricing will be calculated by using the closest dimension


steps default: 20 ( $0.000598 every 5 steps above 20 )

Cost Per API Call

$ 0.000000

For enterprise pricing and custom weights or models

contact our sales team.

Revolutionizing Creativity with Segmind-Vega Model

Born from the distillation of the renowned Stable Diffusion XL (SDXL), it boasts an unparalleled combination of speed and quality. With a 70% reduction in size and a staggering 100% increase in processing speed, Segmind-Vega emerges as a game-changer in the field. Its training, enriched by diverse datasets such as Grit and Midjourney scrape data, ensures a remarkable versatility in interpreting and visualizing a wide array of textual prompts.

A Fusion of Expertise for Unmatched Performance

What truly sets the Segmind-Vega Model apart is its sophisticated knowledge distillation approach. By integrating the wisdom of several expert models, including SDXL, ZavyChromaXL, and JuggernautXL, Segmind-Vega synthesizes their strengths while skillfully circumventing their limitations. This synthesis results in a model that not only excels at generating high-quality images but does so with remarkable speed and efficiency. It's a testament to the power of collaborative learning in AI, where the collective knowledge of multiple models is harnessed to achieve a singular, exceptional capability in image generation.

Empowering Diverse Domains with Visual Innovation

The applications of the Segmind-Vega Model are as diverse as its training datasets. In the world of art and design, it serves as a digital muse, offering artists and designers a plethora of visual possibilities to inspire and enhance their creative processes. Educational sectors benefit immensely, as the model can generate illustrative content to aid in teaching and learning, making complex concepts visually accessible and engaging. For researchers, Segmind-Vega is a valuable tool to explore the frontiers of generative models, analyze biases and limitations, and contribute to the broader understanding of AI behavior. Above all, the model's commitment to safe content generation ensures that it paves the way for responsible and ethical use of AI in creative domains