# Z-Image Turbo FP8/BF16 Community Workflow ## Summary Community `Z-Image Turbo` text-to-image workflow packaged with a same-day embedded ComfyUI graph. It is a practical fast baseline rather than a new control trick. ## Model Family - `zimage` ## Status - `imported-only` ## Source - Hugging Face model page: - Workflow file: - Original author: `Saravutw` - Date imported: `2026-08-26` ## Developer notes - The workflow uses the standard ComfyUI core nodes plus `ModelSamplingAuraFlow`. - The graph targets `z_image_turbo_bf16.safetensors`, `qwen_3_4b.safetensors`, and `ae.safetensors` from the official Z-Image Turbo bundle. - The embedded graph keeps the familiar turbo settings: low CFG, `dpmpp_sde`, `simple` scheduler, and 12 steps. ## Our notes - This is worth keeping because it is a direct workflow payload, not just a model card. - On an `RTX 3070`, it should be a comfortable local test path for fast image generation. - It does not look like a major leap over the official Z-Image Turbo example, but it is a clean same-day variant worth having in the repo. ## Required custom nodes - none beyond current core ComfyUI support for the embedded graph ## Required model files - `models/text_encoders/qwen_3_4b.safetensors` - `models/diffusion_models/z_image_turbo_bf16.safetensors` - `models/vae/ae.safetensors` ## Notes - The workflow can be loaded by dragging the JSON into ComfyUI. - Good as a fast local baseline, but not yet a substitute for stronger control or edit workflows.