gguf-diffuser 0.0.2

gguf-diffuser

Image/video/audio generation GUI for GGUF models.

Install

pip install gguf-diffuser

Building the bundled engine requires a C/C++ toolchain and CMake ≥ 3.15 (on Windows: MSVC Build Tools). The engine source is resolved from a sibling diffusion checkout, a vendored vendor/diffusion. GPU backends are opt-in at build time via the engine's own options:

CMAKE_ARGS="-DSD_CUDA=ON"    pip install gguf-diffuser   # NVIDIA (CUDA)
CMAKE_ARGS="-DSD_HIPBLAS=ON" pip install gguf-diffuser   # AMD (ROCm/HIP)
CMAKE_ARGS="-DSD_METAL=ON"   pip install gguf-diffuser   # Apple (macOS)
CMAKE_ARGS="-DSD_VULKAN=ON"  pip install gguf-diffuser   # Vulkan

Usage

python -m gguf_diffuser             # launch the GUI in the browser
gguf-diffuser                       # same
gguf-diffuser --port 8643 --no-browser

GUI features (as in the desktop app's diffusion panel):

• txt2img with the full model stack: --model / --diffusion-model, VAE, external text encoders (--clip_l, --t5xxl, --llm, …), additional models (ControlNet, TAESD, upscaler, PhotoMaker, …), tokenizer packs
• image inputs: init image (img2img), mask (inpainting), end frame, control image, reference images
• sampling controls: CFG scale, steps, size, seed, batch count, all engine sampling methods and schedules, flash attention, low-VRAM flags
• live progress and engine log, output gallery, saved workflows (localStorage + JSON export/import), copyable/editable CLI command

Engine CLI passthrough (runs the bundled diffusion binary):

python -m gguf_diffuser engine -- --diffusion-model model.gguf -p "a cat" -o cat.png
gguf-diffuser engine -- --help