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:<ul><li>Dual Model Support: Easily switch between the standard .safetensors model and quantized GGUF versions using the provided switches.</li><li>Mode Toggling: Includes a "Fast Groups Bypasser" setup to quickly toggle between Text-to-Image and Image-to-Image modes without rewiring.</li><li>Built-in Upscaling: Includes an upscaling pass using LexicaRRDBNet for sharper final output.</li><li>Resolution Management: Uses ResolutionMaster to ensure your aspect ratios are correct.</li></ul>Required Models: To use this workflow fully, you will need the following files (links provided in the workflow's internal notes):<ol><li>UNET: z_image_turbo_bf16.safetensors OR z_image_turbo-Q5_K_M.gguf</li><li>CLIP: Qwen3-4B-UD-Q5_K_XL.gguf (This model uses a Qwen text encoder).</li><li>VAE: z_image_turbo_vae.safetensors</li><li>Upscaler: 2xLexicaRRDBNet_Sharp.pth (or your preferred upscaler).</li></ol>How to use:<ol><li>Select your Model: Use the switch on the far left to choose between the GGUF Loader or the Standard UNET Loader.</li><li>Choose your Mode: Use the "Fast Groups Bypasser" (the colorful list of buttons) to activate "Text to Image" or "Image To Image".<ul><li>Important: If using Image to Image, ensure you adjust the denoise strength in the Sampler (Node 61) to your liking.</li></ul></li><li>Prompt &amp; Queue: Enter your text in the CLIP Text Encode node and run.</li></ol>Requirements:<ul><li>ComfyUI Manager (to install missing custom nodes like rgthree, KJNodes, and GGUF).</li></ul>

Files with SHA256: ed0d8c56026cdf1013537026f1297f2b5a83c49582291667e398ba689fbf8b14