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(<a target="_blank" rel="ugc" href="https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/blob/main/Qwen3-4B-Instruct-2507-Q4_K_M.gguf">https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/blob/main/Qwen3-4B-Instruct-2507-Q4_K_M.gguf</a>)GGUF Model- Z-image-turbo-q3_k_s(<a target="_blank" rel="ugc" href="https://huggingface.co/gguf-org/z-image-gguf/resolve/main/z-image-turbo-q3_k_s.gguf?download=true">https://huggingface.co/gguf-org/z-image-gguf/resolve/main/z-image-turbo-q3_k_s.gguf?download=true</a>) 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.

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

Doubt this will ever be updated, it works as is, but if you find any bugs, please let me know and I'll be happy to fix whatever needs fixing.

Files with SHA256: 7138960aa8d0c21a9d2d2edf9990dad534454339e43b5b94365207597dfb2931