Downloads · 30 days
0
jide/qwen-test
qwen-test is a machine learning model from jide. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This directory contains a custom Docker-based deployment for QwenImageLayeredPipeline.
Downloads · 30 days
0
Access
Public
Updated Dec 18, 2025
Repo size
—
Likes
0
Public
Click a slice to open those files.
.py5.5 KB · 57%
From the Hugging Face model README
This directory contains a custom Docker-based deployment for QwenImageLayeredPipeline.
Dockerfile: Custom container with all bleeding-edge dependencies.app.py: FastAPI server (HF-compatible API format).handler.py: Model loading and inference logic.requirements.txt: Python dependencies (all from git main).# Login to Docker Hub (or another registry)
docker login
# Build the image
docker build -t yourusername/qwen-layered:latest .
# Push to registry
docker push yourusername/qwen-layered:latest
docker.io/yourusername/qwen-layered:latestcurl https://your-endpoint.endpoints.huggingface.cloud \
-X POST \
-d '{"inputs": {"prompt": "A cute cat"}}' \
-H "Authorization: Bearer hf_..." \
-H "Content-Type: application/json"
docker build -t qwen-test .
docker run --gpus all -p 8080:8080 qwen-test
# Then: curl http://localhost:8080/health