We’ve transitioned from Stable Diffusion v1.5 to the Pix-Art-Sigma model.

We've significantly improved our Photomaker API, achieving a remarkable 45% increase in speed compared to the previous version and cutting serving costs by nearly 50%. These enhancements greatly enhance the efficiency and affordability of our services, providing users with faster responses and lower expenses.

We have successfully optimized our SDXL API, achieving a remarkable 45% increase in speed compared to our previous API and nearly 50% reduction in serving costs. These improvements significantly elevate the efficiency and affordability of our services, benefiting users with super-faster responses and lower expenses.

We’re thrilled to share a major upgrade to our text generation LLM APIs! ⚡️

Introducing MonsterGPT, the ultimate blend of fine-tuning and deployment in one place! 🎉

Major Update: Streamline your model fine-tuning process with our new No-Code SDXL FineTuner. Fine-tuning your model usually requires adjusting a multitude of parameters, but we've simplified it down to just three straightforward steps!

We've added a dedicated page for Application Projects to the UI. This page showcases the range of projects achievable with Monster API models. Users can explore these projects and access Colab notebooks for streamlined deployment.

Documentation now includes SDK docs for Python and Node.js clients. These clients facilitate easier access to our models.

The Photo Maker Model has been introduced to our suite of models. This tool can create photos, paintings, and avatars in various styles and is now available on MonsterAPI as an ultra-low-cost API.

The user experience has been enhanced by enabling the upload of up to 20 images. This upgrade streamlines the process of uploading images for SDXL fine-tuning directly from the UI, leading to easier dataset control.