Extensions/comfyui-zimage-sdnq
ComfyUI Extension

comfyui-zimage-sdnq

Custom ComfyUI nodes for running Z-Image Turbo with SDNQ quantization (q8/q4). Supports text-to-image, image-to-image, inpaint, ControlNet, and LoRA.

By GeneralShan·Created 7 months ago·Updated 5 months ago· 1
GeneralShan/comfyui-zimage-sdnq
Nodes12
On cloudLocal install
CategoryZImage SDNQ/Preprocessors, ZImage SDNQ/Utilities
Stars1
Updated5 months ago

Nodes (12)

ZImage SDNQ Canny Preprocess
ZImage SDNQ/Preprocessors
ZImage SDNQ Clear Caches
ZImage SDNQ/Utilities
ZImage SDNQ Control LoRA Apply
ZImage SDNQ/LoRA
ZImage SDNQ Control Loader
ZImage SDNQ/Loaders
ZImage SDNQ Depth Preprocess
ZImage SDNQ/Preprocessors
ZImage SDNQ LoRA Apply
ZImage SDNQ/LoRA
ZImage SDNQ Loader
ZImage SDNQ/Loaders
ZImage SDNQ Control Sampler
ZImage SDNQ/Samplers
ZImage SDNQ I2I Sampler
ZImage SDNQ/Samplers
ZImage SDNQ Inpaint Sampler
ZImage SDNQ/Samplers
ZImage SDNQ T2I Sampler
ZImage SDNQ/Samplers
ZImage SDNQ Tile Upscale Sampler
ZImage SDNQ/Samplers
Readme

ComfyUI Z-Image SDNQ

ComfyUI extension for Z-Image Turbo with SDNQ quantization.

Layout

  • comfy/: ComfyUI-facing node classes and the public registry.
  • catalog/: model, LoRA, and control-weight discovery plus control-config inference.
  • session/: typed runtime state, cache ownership, and live LoRA attachment state.
  • loading/: base and control pipeline construction.
  • generation/: seed handling and shared sampler runners.
  • imaging/: image conversion and preprocess operations.
  • integrations/: thin wrappers around ComfyUI, SDNQ, MiDaS, and torch device selection.
  • zimage/: active Z-Image engine fork and LoRA implementation.
  • workflows/: example ComfyUI graphs.

Dependencies

  • ComfyUI
  • diffusers / sdnq (required)
  • timm / opencv-python-headless (controlnet)

Models

Place models where ComfyUI already expects them:

  • Diffusers models under models/diffusers/
  • LoRAs under models/loras/
  • Control weights under models/controlnet/