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TheLocalLab/Simple Z-Image-Turbo Diffusion/GGUF Workflow (T2I, I2I & Upscaling)

This is a comprehensive workflow designed for the Z-Image-Turbo model. It is set up to handle both standard usage and low-VRAM configurations via GGUF support. Workflow Features: Dual Model Support: Easily switch between the standard .safetensors model and quantized GGUF versions using the provided switches. Mode Toggling: Includes a "Fast Groups Bypasser" setup to quickly toggle between Text-to-Image and Image-to-Image modes without rewiring. Built-in Upscaling: Includes an upscaling pass using LexicaRRDBNet for sharper final output. Resolution Management: Uses ResolutionMaster to ensure your

Author / organizationTheLocalLab
Downloads2.8K (as reported by Civitai)
Likes50
Tasktext-to-image
Created28 November 2025
Last updated at source—
text-to-imageworkflowszimageturbobase modelimage to imagegguftext to imagez image turbo
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