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tiny random flux (HF) EU AI Act Compliance Profile

katuni4ka

Text to Imagediffusers
① Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
② Model Info
PipelineText to Image
Librarydiffusers
CreatedAug 2024
SyncedApr 3, 2026
③ Popularity
6.5Kdownloads
1 likes
View on HuggingFace ↗
④ Obligations
3apply
~16h effort
□ AI Literacy (Art. 4)
□ AI Disclosure (Art. 50)
□ Synthetic Content Labeling (Art. 50)
$ npx complior scan

Your risk depends on how you use tiny random flux (HF)

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as GPAI

tiny random flux (HF) is a text-to-image generation model by katuni4ka. Built with diffusers. 6.5K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
›
Obligation under Art. 4 for tiny random flux (HF) deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED
›

Who does what

katuni4ka (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • •AI Literacy (Art. 4) (Art. 4)
  • •AI Disclosure (Art. 50) (Art. 50)
  • •Synthetic Content Labeling (Art. 50) (Art. 50)
See full obligation checklist →

Risk Assessment Reasoning

This model is classified as General-Purpose AI (GPAI) under the EU AI Act. GPAI providers must comply with transparency obligations (Art. 53), including technical documentation and copyright policy disclosure. Deployers must ensure AI literacy training (Art. 4) for all staff interacting with the system. AI-generated images must be marked as artificially generated using machine-readable labeling (Art. 50). Deepfake provisions (Art. 50(4)) may apply.

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Frequently Asked Questions

What is tiny random flux (HF)'s EU AI Act risk classification?

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tiny random flux (HF) is classified as GPAI under the EU AI Act. However, the risk level of your specific deployment depends on your use case: internal tools may be Minimal risk, while HR screening or credit decisions escalate to High Risk.

What are my obligations if I deploy tiny random flux (HF)?

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As a tiny random flux (HF) deployer, you have 3 base obligations (~16 hours estimated effort). Key articles: Art. 4, Art. 50.

What is tiny random flux (HF)?

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tiny random flux (HF) is a Text to Image model by katuni4ka. It has 6.5K downloads on HuggingFace.

What are the EU AI Act deadlines for tiny random flux (HF)?

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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02. Already passed: Synthetic Content Labeling (Art. 50) — 2025-08-02.

Check tiny random flux (HF) compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan