Skip to main content

Image generation studio

Project description

NectarGraphix

NectarGraphix is a powerful, local image generation studio powered by Stable Diffusion. Run cutting-edge AI models directly on your hardware—no cloud dependency, no usage limits. Generate stunning visuals from text prompts with full control over models, settings, and outputs.

NectarGraphix UI

✨ Features

  • Local Stable Diffusion: Run models like SDXL, SD 1.5, or custom fine-tunes offline.
  • Intuitive UI: Drag-and-drop interface for prompts, images, and settings.
  • Model Management: Download, switch, and organize models seamlessly.
  • Advanced Controls: Negative prompts, samplers, CFG scale, steps, and resolution tweaking.
  • Batch Generation: Create multiple images at once.
  • Hardware Optimization: GPU/CPU detection with automatic optimizations (CUDA, ROCm, DirectML).
  • Extensions Support: Compatible with popular LoRAs, ControlNet, and embeddings.

💻 Requirements

  • OS: Windows 10+
  • Python: 3.11.0
  • GPU (recommended):
    • NVIDIA: 4GB+ VRAM (GTX 1060 or newer)
  • RAM: 8GB+ (16GB recommended for larger models)
  • Disk: 10GB+ free space for models and outputs

2. Download Models

Model folder structure:

├── Stable-diffusion/ └── v1-5-pruned-emaonly.safetensors ├── Lora/ └── VAE/

Model Folder Structure

Popular sources: Civitai, Hugging Face

📸 Example Usage

  1. Enter prompt: A cyberpunk cityscape at sunset, neon lights, highly detailed, 8k
  2. Negative prompt: blurry, lowres, text, watermark
  3. Set: Steps=30, CFG=7, Sampler=Euler a, Size=512x512
  4. Hit Generate → Save or upscale results.

📄 License

LICENSE for details.

🙌 Support the Project

  • ⭐ Star on GitHub
  • Share your generations on socials with #NectarGraphix
  • Buy me a coffee: ko-fi.com/zashiron

Built with ❤️ for local AI creators

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nectargraphix-0.1.5.tar.gz (5.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nectargraphix-0.1.5-py3-none-any.whl (5.4 MB view details)

Uploaded Python 3

File details

Details for the file nectargraphix-0.1.5.tar.gz.

File metadata

  • Download URL: nectargraphix-0.1.5.tar.gz
  • Upload date:
  • Size: 5.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for nectargraphix-0.1.5.tar.gz
Algorithm Hash digest
SHA256 d9fd129d7af98eeaa72e88b10efea3929c1c737b95ca858bfd30dcce43afc080
MD5 c1d64e601381f03c598403a7edbf690b
BLAKE2b-256 9055161c776f54e4d8126ceb248374e70d562cda27687ac571b526c1e2a95f8f

See more details on using hashes here.

File details

Details for the file nectargraphix-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: nectargraphix-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 5.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for nectargraphix-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 98665cc3422a7bf27d4ce311fef9e62b781deb0ea8d5357ee34b645f6a6d116c
MD5 f4c6325f76ee763e66e94478f1d0fc4f
BLAKE2b-256 53e51e7e29b33ddb4d3245662d803f7e9d2f200049dc7fad04d900a94d89b940

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page