DIFFLORAVERSE
Host, generate, and share AI content without gatekeepers. Get paid for compute & storage. Powered by $DLORA.
> WHAT_IS_DIFFLORAVERSE
A decentralized network for AI generation & content distribution—secured and incentivized by $DLORA.
GPU providers stake $DLORA and run inference/training jobs. Consumers pay per job. Reliable nodes earn more.
Models, images, and videos are hosted across community nodes with proofs of availability and fair payouts.
Pay for jobs & downloads, stake for access and yield, participate in governance, and secure the network.
> HOW_IT_WORKS
Compute and content driving a single economy.
Compute Flow
- 1. Consumer submits job & deposits $DLORA into escrow.
- 2. Staked providers accept, run, and attest results.
- 3. Success → auto-payout; failure → slash + dispute resolution.
Content Flow
- 1. Host pins model files, images, or videos with proof-of-availability.
- 2. Users pay micro-fees in $DLORA per download/stream.
- 3. Hosts earn $DLORA; uptime and integrity boost rewards.
> WHO_IT’S_FOR
Publish uncensorable content and pay fair-market for inference/training.
Monetize idle GPUs. Stake to win jobs, earn fees, and build reputation.
Get paid for replicating model weights and media with verified availability.
$DLORA TOKEN
The unit of exchange for compute, storage, access, and governance.
Utility
- • Pay for inference/training jobs & downloads
- • Stake to operate nodes; earn network fees
- • Participate in governance (fees, slashing, rewards)
Value Accrual
- • Protocol fees → stakers & treasury; optional burn
- • Reputation boosts yield; slashing penalizes failures
- • Growing demand from jobs & content increases utility
Join Early, Build the Future
Early subscribers receive invites, node-operator priority, reward boosts (time-limited), and governance access.
> FAQ
We’re onboarding waitlist users in waves. Join to get your invite.
No—email is enough for early access. We’ll share on-ramp details.
Stake-and-slash with reputation and verifiable job attestations.
Nodes follow global law. Within that, content availability is protocol-driven and transparent.