Intro
Z-Image Turbo workflow for producing high resolution stunning quality images.
Features
Easy control box for options
GGUF and original checkpoint support
Wildcard support
Lora stack loader
Low noise SDXL DMD refiner
Low noise latent and pixel upscaler
Carefully tuned settings for resolution, CFG, sampler, etc. will give great results whether you choose to refine / upscale or not.
Film grain
Image comparer
Dependencies
Nodes
https://github.com/ltdrdata/ComfyUI-Impact-Pack
https://github.com/chflame163/ComfyUI_LayerStyle
https://github.com/rgthree/rgthree-comfy
https://github.com/jags111/efficiency-nodes-comfyui
Checkpoints, etc.
https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files
https://huggingface.co/gguf-org/z-image-gguf
https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-abliterated-v2/tree/main
https://huggingface.co/mradermacher/Huihui-Qwen3-4B-abliterated-v2-GGUF
Q&A
Q: Will there be more features?
A: Absolutely
Q: Will there be support for detailers?
A: No
Description
Wildcards support in prompt with Impact Pack.
Seed changed from primitive to Layer Style Seed node to address issues with wildcards
GGUF support
Switched to abliterated text encoder
Tuned settings (steps, sampler, scheduler, CFG)
Switched to a higher resolution - resolutions higher than 1024 x 1024 solve a lot of noise issues
Note: Z-Image Turbo is super sensitive to sampler settings. Honestly there is not a right or wrong and I would highly recommend you experiment to find what suites your needs.
Combinations I found work well:
CFG: 1 - 2.5
Sampler and scheduler: Euler A Simple, Euler A LQ, Euler A CFG PP LQ, Res Multistep SimpleFAQ
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