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 / organization | TheLocalLab |
|---|---|
| Downloads | 2.8K (as reported by Civitai) |
| Likes | 50 |
| Task | text-to-image |
| Created | 28 November 2025 |
| Last updated at source | — |
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