Skinbase Vision Stack (CLIP + BLIP + YOLO + Qdrant) – Dockerized FastAPI

This repository provides four standalone vision services (CLIP / BLIP / YOLO / Qdrant) and a Gateway API that can call them individually or together.

Services & Ports

• gateway (exposed): https://vision.klevze.net
• clip: internal only
• blip: internal only
• yolo: internal only
• qdrant: vector DB (port 6333 exposed for direct access)
• qdrant-svc: internal Qdrant API wrapper

Run

docker compose up -d --build

If you use BLIP, create a .env file first.

Required variables:

API_KEY=your_api_key_here
HUGGINGFACE_TOKEN=your_huggingface_token_here

HUGGINGFACE_TOKEN is required when the configured BLIP model is private, gated, or otherwise requires Hugging Face authentication.

Service startup now waits on container healthchecks, so first boot may take longer while models finish loading.

Health

curl -H "X-API-Key: <your-api-key>" https://vision.klevze.net/health

Universal analyze (ALL)

With URL

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/all \
  -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","limit":5}'

With file upload (multipart)

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/all/file \
  -F "file=@/path/to/image.webp" \
  -F "limit=5"

Individual services (via gateway)

CLIP tags

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/clip -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","limit":5}'

CLIP tags (file)

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/clip/file \
  -F "file=@/path/to/image.webp" \
  -F "limit=5"

BLIP caption

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/blip -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","variants":3}'

BLIP caption (file)

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/blip/file \
  -F "file=@/path/to/image.webp" \
  -F "variants=3" \
  -F "max_length=60"

YOLO detect

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/yolo -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","conf":0.25}'

YOLO detect (file)

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/analyze/yolo/file \
  -F "file=@/path/to/image.webp" \
  -F "conf=0.25"

Vector DB (Qdrant) via gateway

Qdrant point IDs must be either:

• an unsigned integer
• a UUID string

If you send another string value, the wrapper may replace it with a generated UUID. In that case the original value is stored in the payload as _original_id.

You can fetch a stored point by its preserved original application ID:

curl -H "X-API-Key: <your-api-key>" https://vision.klevze.net/vectors/points/by-original-id/img-001

Store image embedding by URL

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/vectors/upsert \
  -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","id":"550e8400-e29b-41d4-a716-446655440000","metadata":{"category":"wallpaper"}}'

Store image embedding by file upload

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/vectors/upsert/file \
  -F "file=@/path/to/image.webp" \
  -F 'id=550e8400-e29b-41d4-a716-446655440001' \
  -F 'metadata_json={"category":"photo"}'

Search similar images by URL

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/vectors/search \
  -H "Content-Type: application/json" \
  -d '{"url":"https://files.skinbase.org/img/aa/bb/cc/md.webp","limit":5}'

Search similar images by file upload

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/vectors/search/file \
  -F "file=@/path/to/image.webp" \
  -F "limit=5"

List collections

curl -H "X-API-Key: <your-api-key>" https://vision.klevze.net/vectors/collections

Get collection info

curl -H "X-API-Key: <your-api-key>" https://vision.klevze.net/vectors/collections/images

Delete points

curl -H "X-API-Key: <your-api-key>" -X POST https://vision.klevze.net/vectors/delete \
  -H "Content-Type: application/json" \
  -d '{"ids":["550e8400-e29b-41d4-a716-446655440000","550e8400-e29b-41d4-a716-446655440001"]}'

If you let the wrapper generate a UUID, use the returned id value for later get, search, or delete operations.

Notes

• This is a starter scaffold. Models are loaded at service startup.
• Qdrant data is persisted in the project folder at ./data/qdrant, so it survives container restarts and recreates.
• Remote image URLs are restricted to public http/https hosts. Localhost, private IP ranges, and non-image content types are rejected.
• For production: add auth, rate limits, and restrict gateway exposure (private network).
• GPU: you can add NVIDIA runtime later (compose profiles) if needed.