Model Training AI tools with API
Explore the best 9 AI tools for Model Training that offer an API and compare them for use cases, features and pricing. Use the AI-powered search to find more specialized tools for Model Training and more.
9 AI Tools for: Model Training
Lightning AI is a PyTorch Lightning‑based cloud platform for training, deploying, and serving models at scale. It offers GPU workspaces, managed clusters, fractional pay‑as‑you‑go GPU capacity, inference APIs, serverless deployment, security, and integration with LitServe, LitGPT, and LLMs.
Astria offers a generative imaging API with single-call fine-tuning (Dreambooth, LoRA, SD1.5/SDXL), batch prompts, upscaling and face correction, ControlNet filters, model library and auto-scaling infrastructure for production image pipelines and studio-quality outputs.
FinetuneDB enables teams to fine‑tune custom large language models with proprietary data. It provides collaborative dataset editing, a prompt playground, human and AI feedback loops, performance metrics, OpenAI SDK integration, and secure, role‑based access.
6 0
Freemium
- $50/mo
Entry Point is an AI training platform that simplifies fine-tuning large language models using OpenAI and AI21 APIs.
EnergeticAI is an open‑source TensorFlow.js library for Node.js, offering fast pre‑trained embeddings, text classifiers, and semantic search. It delivers sub‑4‑second cold starts and 67× faster inference in serverless functions for developers and performance.
0 1
Subscription
dreamlook.ai offers fast, online training and generation for Stable Diffusion 1.5 and SDXL, supporting 1,500 SDXL steps in ~10 min, LoRA extraction, Offset Noise, ControlNet pose control, and a GPU‑free API.
ComfyUI is a powerful and modular stable diffusion GUI with a graph/nodes interface that lets you design and execute advanced stable diffusion pipelines using a flowchart-based interface.
finetunefast streamlines AI model training with pre-configured scripts, hyperparameter optimization, and multi-GPU support. It offers one-click deployment, API generation, and monitoring, catering to both novice and expert users for various machine learning applications.
Falcon is an open‑source LLM family by the Technology Innovation Institute, spanning 0.09‑180 B parameters. It offers efficient Falcon‑H1 series, Arabic variants, multimodal Falcon‑3, and Falcon‑Mamba 7B, all under permissive licenses.
0 1
Free