# GangTailorUpgrade/undress-service > Self-hosted AI wardrobe service: uploads clothing photos, auto-tags items via CLIP, and generates outfits with Stable Diffusion/FLUX. Aimed at users who want private wardrobe management and AI styling recommendations. - Magnitude: 0.0 out of 10 — Quiet - Stars: 1,223 total · Not enough measurements today - Star trust: unusual star pattern (heuristic) - Category: Generative media · Language: Python · License: MIT · Created: 2026-08-31 · Last push: 2026-09-26 - GitHub: https://github.com/GangTailorUpgrade/undress-service · Homepage: https://undress.design/undress · Page: https://gitnova.dev/en/r/GangTailorUpgrade/undress-service ## Useful for - Upload clothing photos and get auto-tags by category, color, and season - Generate an outfit for weather and occasion with avatar visualization - Deploy the service locally via Docker for private wardrobe storage ## Why it’s here - There are not enough fresh counter measurements for today's UTC day. The gain is unknown. - The repository is 40 days old and already has 1,223 stars. ## Star trust Unusual star pattern (heuristic). - Very few forks: 7 for 1,223 stars. Active projects usually have 3–15 forks per 100 stars. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 7 - Issues and pull requests: 2 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 5 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 14 days 09-27 0.3, 09-28 0.2, 09-29 0.5, 09-30 0.0, 10-01 0.0, 10-02 0.0, 10-03 0.0, 10-04 0.0, 10-05 0.0, 10-06 0.0, 10-07 0.0, 10-08 0.0, 10-09 0.0, 10-10 0.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-10 00:00 UTC, updated every 30 minutes.