TuneMyAI

Finetune Stable Diffusion models in under 20 minutes with automated MLOps tasks, customizable training parameters, and native Hugging Face integration.
Machine Learning Model Management Automated MLOps Deep Learning Deployment
TuneMyAI screenshot thumbnail

TuneMyAI streamlines finetuning and deployment of Stable Diffusion models. It's designed to automate MLOps tasks so developers can concentrate on product development. With the use of NVIDIA A100 GPUs, TuneMyAI can finetune models in under 20 minutes.

Some of the key features include:

  • Blazing Fast Finetuning: Finetune models in minutes, not hours.
  • Hugging Face Integration: Host models on Hugging Face with native integration.
  • Multiple Classes: Finetune models on multiple class types for a wide range of use cases.
  • Customizable: Full control over training parameters with defaults.

Pricing is simple, with a Standard plan costing $2.50 per finetune, which includes:

  • Fast Training: Use A100 GPUs for fast finetuning.
  • Multiclass Finetuning: Finetune on multiple image sets.
  • Model and Image Hosting: Dedicated hosting for models and images.

Advanced features may be added in the future that users can opt into. TuneMyAI offers dedicated model hosting and an API endpoint for inference requests. Users can buy credits through the dashboard to make billing easy.

TuneMyAI is geared for developers who want to speed up their ML model deployment, using Hugging Face integration and customizable training parameters to get good results quickly.

Published on June 14, 2024

Related Questions

Can you recommend a platform that accelerates the finetuning process of Stable Diffusion models? I'm looking for a solution that integrates with Hugging Face to streamline ML model deployment. Is there a tool that allows me to finetune models on multiple class types for various use cases? Do you know of a service that provides fast and customizable ML model training with dedicated hosting and API endpoints?

Tool Suggestions

Analyzing TuneMyAI...

Top Alternatives

Predibase screenshot thumbnail

Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

Airtrain AI screenshot thumbnail

Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

Modelbit screenshot thumbnail

Modelbit

Deploy custom and open-source ML models to autoscaling infrastructure in minutes, with built-in MLOps tools and Git integration for seamless model serving.