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Apps and SaaS · Design

Flux

Official inference repo for FLUX.1 models

Our verdict

Not reviewed yet

We have not reviewed Flux yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Flux

Official inference implementation for FLUX.1 text-to-image models from Black Forest Labs. Provides Python code to run FLUX.1 variants locally or via API, generating images from text prompts with configurable parameters.

Best for

Python developers building image generation features who want direct model control and local deployment options

Use cases

  • Generate images from text descriptions in Python applications
  • Fine-tune or customize FLUX.1 model behavior for specific domains
  • Batch process image generation at scale with local compute

Notes

25,590 stars on GitHub. Last updated 2025-07-31. Licensed Apache-2.0.

Pros

  • Official repository with direct access to model weights and inference code
  • Supports multiple FLUX.1 variants with documented configuration options
  • Active community (25k+ stars) with examples and troubleshooting resources

Cons

  • Requires Python environment setup and GPU resources for reasonable inference speed
  • Documentation focuses on technical implementation rather than beginner workflows
  • Model weights are large, demanding significant storage and bandwidth

Key facts

What we have checked

Days since the last commit
452
Checked GitHub
GitHub forks
1,933
Checked GitHub
GitHub stars
26,038
Checked GitHub
Days to a first reply on issues
273.3
Checked GitHub
Open issues
206
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is Flux looked after, and what do its setup files show

Health score

19 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity0 of 30Last push 452 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 273.3 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

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Compare

Compare Flux side by side

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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