Local Diffusion icon
Local Diffusion icon

Local Diffusion

Run SD1.x/2.x/3.x, SDXL, and FLUX.1 on your phone device.

Cost / License

Application type

Platforms

  • Android
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Features

Properties

  1.  AI-Powered

Features

  1.  Hardware Accelerated
  2.  Ad-free
  3.  No Tracking
  4.  Image to Image Generation
  5.  No registration required
  6.  Text to Image Generation
  7.  Works Offline
  8.  Local AI
  9.  GPU Acceleration
  10.  OpenCL support

Local Diffusion News & Activities

Highlights All activities

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Local Diffusion information

  • Developed by

    rmatif
  • Licensing

    Open Source (Apache-2.0) and Free product.
  • Alternatives

    9 alternatives listed
  • Supported Languages

    • English

AlternativeTo Categories

AI Tools & ServicesSystem & HardwarePhotos & Graphics

GitHub repository

  •  184 Stars
  •  22 Forks
  •  22 Open Issues
  •   Updated  
View on GitHub
Local Diffusion was added to AlternativeTo by bugmenot on and this page was last updated .
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What is Local Diffusion?

Run the latest diffusion models directly on your mobile device.

Local Diffusion is a Flutter application that brings Diffusion models to Android, powered by the amazing stable-diffusion.cpp

? Key Features

  • 📱 Truly Local Inference: Generate images entirely on your Android device.

  • 🚀 Broad Model Compatibility:

  • Supports a wide range of architectures: SD1.x, SD2.x, SDXL, SD3/SD3.5, Flux/Flux-schnell, SD-Turbo, SDXL-Turbo, and more.

  • Load models directly from popular sources like Hugging Face and Civitai.

  • Works with common model formats: .safetensors and .ckpt.

  • ? On-the-Fly Quantization: Automatically quantize full-precision models during loading to save memory and potentially increase speed. Supported formats: q8_0, q6_k, q5_0, q5_1, q5_1k, q4_0, q4_1, q4_k, q3_k, q2_k.

  • 🏎? Performance Optimizations:

  • Flash Attention: Reduces memory usage during inference

  • TAESD: Significantly speeds up the image decoding process.

  • VAE Tiling: Reduces memory consumption during the VAE decoding stage, crucial for larger images on memory-constrained devices.

  • 🎨 Advanced Generation Capabilities:

  • ControlNet: Guide image generation with precise control (includes Scribble-to-Image).

  • PhotoMaker: Generate custom portraits from reference images.

  • Img2Img: Generate images based on an initial input image.

  • Inpainting/Outpainting: Modify specific parts of an image or expand its canvas.

  • LoRA Support: Apply Low-Rank Adaptations to customize model outputs.

  • Negative Prompts: Specify what you don't want to see in the image.

  • Token Weighting: Emphasize or de-emphasize specific parts of your prompt.

  • Multiple Sampling Methods: Euler A, Euler, Heun, DPM2, DPM++ 2M, DPM++ 2M v2, DPM++ 2S a, LCM, TCD, DDIM

  • 💻 GPU Acceleration (Experimental):

  • Vulkan: Currently performs ~2x slower than CPU. Performance improvements are planned.

  • OpenCL: Only supports Adreno 7xx GPUs for now. Optimized for Q4_0 quantization; also supports Q8_0 and FP16. Operations or devices outside these specifics may fall back to CPU execution.