higgsfield
Higgsfield is an improved fault-tolerant and scalable GPU editing and machine learning framework to train AI models with billions and trillions of parameters. It manages multiple node (multi-node) training processes by assigning specific or shared access to computing resources. PyTorch offers ZeRO-3 DeepSpeed API support with a full-part data parallel interface and provides continuous integration with GitHub integration.
higgsfield-ai · Local AI / Self-Hosted LLM
Common commercial products in this category: ChatGPT, Claude, Gemini
- You can train large language models distributed in multinode environments.
- You can manage training tasks by assigning private or shared access to GPU resources.
- With GitHub and GitHub Actions integration, you can continuously integrate machine learning processes.
- • Repository is archived (no longer maintained)
- • NeutralHacker News
Higgsfield: Distributed LLM training and cluster management framework
“Can anyone comment on how Higgsfield fits into the current distributed systems landscape? How does it compare to Ray and Deepspeed?”
- • NeutralHacker News
Higgsfield Soul AI: The Most Realistic Image Generator I've Seen Yet
“I recently came across Soul by this AI startup Higgsfield, and it produces some of the most photorealistic images I’ve seen from a generator so far. Unlike many tools that go for a stylized or synthetic look, this one focuses on realism, lighting, texture, and detail are all…”