Add Z-Image Turbo workflow import
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# Z-Image Turbo FP8/BF16 Community Workflow
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## Summary
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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.
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## Model Family
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- `zimage`
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## Status
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- `imported-only`
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## Source
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- Hugging Face model page: <https://huggingface.co/Saravutw/ZImageTurbo-NSFW-FP8-bf16>
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- Workflow file: <https://huggingface.co/Saravutw/ZImageTurbo-NSFW-FP8-bf16/raw/main/z_image_turbo12stepwrokflow.json>
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- Original author: `Saravutw`
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- Date imported: `2026-08-26`
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## Developer notes
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- The workflow uses the standard ComfyUI core nodes plus `ModelSamplingAuraFlow`.
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- The graph targets `z_image_turbo_bf16.safetensors`, `qwen_3_4b.safetensors`, and `ae.safetensors` from the official Z-Image Turbo bundle.
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- The embedded graph keeps the familiar turbo settings: low CFG, `dpmpp_sde`, `simple` scheduler, and 12 steps.
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## Our notes
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- This is worth keeping because it is a direct workflow payload, not just a model card.
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- On an `RTX 3070`, it should be a comfortable local test path for fast image generation.
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- 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.
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## Required custom nodes
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- none beyond current core ComfyUI support for the embedded graph
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## Required model files
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- `models/text_encoders/qwen_3_4b.safetensors`
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- `models/diffusion_models/z_image_turbo_bf16.safetensors`
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- `models/vae/ae.safetensors`
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## Notes
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- The workflow can be loaded by dragging the JSON into ComfyUI.
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- Good as a fast local baseline, but not yet a substitute for stronger control or edit workflows.
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