Universe/Vision/Image/KREA
Venture candidateAutomated record

KREA

Capital-efficient model reach

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Rising signal56.0
Rising rankLonglist
Profile completeness57%
Last public activitySep 2, 2026
01

Usage, audience and developer pull

172.2KHF model downloads11.5K per model
1KHF followers2.4K total likes
2.7KGitHub stars212 forks
15Model portfolio2 datasets · 3 Spaces

Capital-efficient model reach

  • High reach per model
  • Shipping now
02

What it publishes

Vision/ImageVideo
Top tasks
text-to-image (11), text-to-video (1)
Model sizes
Unknown (12); 10-30B (3)
Base families
Not declared
Libraries
diffusers
03

How it ships

Original repositories10
Forked repositories11
Pushed in 90 days4
Archived share5%
Languages
Python, Go, TypeScript
Topics
diffusion-models, flux, machine-learning, text-to-image
Latest release
None in sample · Not observed
04

Latest observed moves

  1. GitHub pushRepository activity
  2. HF modelModel published or updated
  3. HF SpaceSpace published or updated
  4. HF datasetDataset published or updated
05

Publicly evidenced tooling

Training
Diffusers
Compute
Not disclosed
Hardware
Not disclosed
Tracking
Not disclosed
Bottlenecks
Not disclosed

“Not disclosed” means no evidence was found in the sampled public metadata or top model card—not that the lab does not use the tool.

06

Nearest modality peers

Confirm the team and compute inputs behind reach per model; benchmark quality versus the base family.

  • HF member count is only a public-profile proxy
foundedYearfoundersOrLeadershipemployeeCountfundingbusinessModelproducts

Completeness: 8 of 14 tracked field groups. Unknowns are explicit so an analyst can close them.

Every claim should be auditable.

Platform counters are a point-in-time public snapshot. Editorial facts are only promoted after source review.

Know when the thesis changes.

Weekly deltas, funding and team alerts, portfolio watchlists, CSV exports and an analyst-ready API turn a static profile into a sourcing system.

See tracker plans →