Sign In

Z-Image Turbo AIO Workflow for 4GBVRAM Laptops (TXT2IMG, IMG2IMG, Inpaint, Upscale, Face Detailer) LOW VRAM

Updated: May 6, 2026

base modelworkflow

Download

1 variant available

Config Other

33.65 KB

Verified:

Type

Workflows

Stats

113

Reviews

Published

May 6, 2026

Base Model

ZImageTurbo

Hash

AutoV2
7138960AA8

Just a seriously basic workflow for those who have laptops with only 4GB video cards and who still wanna work with Z-Image turbo. Needless to say, with such low specs, you'll need to use extremely quantized models and text encoders. The ones I use:

Text encoders

- Qwen3-4B-Instruct-2507-Q4_K_M

(https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/blob/main/Qwen3-4B-Instruct-2507-Q4_K_M.gguf)

GGUF Model

- Z-image-turbo-q3_k_s

(https://huggingface.co/gguf-org/z-image-gguf/resolve/main/z-image-turbo-q3_k_s.gguf?download=true)

Only uses nodes you can find in the regular manager, nothing fancy. For image to image, make sure to activate the switch in the WF to "True". This is a frankensteined WF, so credits go to their respective authors.