All-in-One. Z-Image, WAN, Flux, Flux Kontext, Txt2Img, Img2Img, inpaint, LLM

This workflow support

• Z-Image, Flux, Flux Kontext and Lumina-Image 2.0

• txt2img, img2img, Inpaint functionality.

• safetensor, gguf and svdq (Nunchaku) checkpoints

• Powerful multi Lora loader (Lora manager)

• LLM describe images, enhance prompts, etc.

• Face Detailer

• (Manual) Multi images load for Kontext

Use Linear\Euler Normal 12 steps for Z-Image

You can turn on or off not blocks using red switcher in the center of workflow.

Img2Img and inpainting denoise settings located in Img2Img group

Kontext support can be enabled or disabled using switcher at Sampler node.

TODO:

• wan t2i and i2i support

• qwen image support

• qwen image edit support

Besides there is a built-in LLM node (you can just delete LLM group if there is no plans to use it)

https://github.com/AlexYez/comfyui-timesaver

TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.

If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the .whl file from

https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases

then close ComfyUI, open the python_embeded folder, type cmd in the address bar, and execute the following command.

.\python.exe -I -m pip install "path to downloaded.whl file"

after installing you can run ComfyUi and install missing custom nodes as normal way.

Edit: If .whl install fails, check your Python version and make sure that .whl was build for this version. If it is still fails, try to open .whl as archive and just extract all folders from archive to python_embeded\Lib\site-packages folder