antirez/iris.c

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1983 stars · 146 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Iris is a pure C inference pipeline that generates images from text prompts using open-weights diffusion transformer models like FLUX.2 Klein and Z-Image-Turbo. It has zero external dependencies beyond the C standard library, with optional MPS and BLAS acceleration, and requires no Python or CUDA at inference time.

Use cases

• generate images from text prompts in C
• run flux image generation locally without python
• text-to-image inference on a macbook with mps acceleration
• generate images with no cuda or gpu toolkit required
• run diffusion transformer models with zero dependencies
• download and run open weights image models from huggingface

When to choose

• you want dependency-free, pure C text-to-image inference
• you're on Apple Silicon and want fast MPS-accelerated image generation
• you want to avoid Python runtimes and CUDA toolkits at inference time
• you want to study or hack on a minimal diffusion model implementation in C

When to avoid

• you need production-scale or multi-user image generation serving
• you require CUDA/NVIDIA GPU acceleration
• you need models beyond the supported FLUX.2 Klein and Z-Image-Turbo families
• you want a GUI or web interface rather than a CLI

Facets

cli-tool · maturity active

llm-inference image-processing cli artificial-intelligence image-processing machine-learning cli cpp text-to-image diffusion-transformer flux pure-c zero-dependencies blas mps stable-diffusion macos linux

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