Into:Leoma

//What is Leoma

Leoma (SN99) is a Bittensor subnet for AI video generation. Independent operators ("miners") run models that turn a starting image plus a text prompt into a short video clip, and a separate set of participants ("validators") score the results. Each round, the best clip wins and that miner takes the full reward.

The simple version: It is like Runway or Pika, but instead of one company's model, many models compete head to head and only the round's winner gets paid.

Centralized equivalent: Runway, Pika, Google Veo, and OpenAI Sora: hosted services where you send a prompt and get a video back. Leoma decentralizes the model layer behind that kind of product.

How it works:

• Miners upload a Text-Image-to-Video model to Hugging Face, deploy it on Chutes, and commit it on-chain. Given a supplied first frame and a text prompt, they return a short video.
• Validators run an automated evaluator that scores each video on first-frame fidelity, prompt adherence, temporal quality, and visual artifacts, then set winner-take-all weights on-chain.

//Why This Matters

• The problem it solves: State-of-the-art video generation is concentrated in a few closed, hosted models. Leoma builds an open market where any model builder can enter and is judged purely on output quality.
• The opportunity: Image-to-video and text-to-video are among the fastest-moving corners of generative AI. A permissionless arena where the best model wins each round is a different shape from the subscription products that dominate today.
• The Bittensor advantage: Winner-take-all scoring puts direct pressure on shipping the best model, not the best-marketed one. An automated benchmark, rather than vendor claims, decides who wins.
• Traction signals: Early. The public repository shows active development, with the most recent commit in late May 2026 and a live site at leoma.ai. There is little public social footprint so far, and the subnet currently receives no emission share (covered in the risks below).