Add low-vram workflow batch for Z-Image, LTX, and MiniMax
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# Z-Image Turbo Official Example
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## Summary
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Official `Z-Image Turbo` example workflow distributed as a PNG with embedded Comfy metadata. Good starting point for fast local image generation, especially when you want a simpler image stack than heavier FLUX setups.
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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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- Example page: <https://comfyanonymous.github.io/ComfyUI_examples/z_image/>
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- Workflow asset: <https://raw.githubusercontent.com/comfyanonymous/ComfyUI_examples/master/z_image/z_image_turbo_example.png>
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- Model card pointing to the example: <https://huggingface.co/Comfy-Org/z_image_turbo>
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- Original publisher: `ComfyUI_examples` / `Comfy-Org`
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- Date imported: `2026-08-08`
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## Developer notes
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- The example page describes `Z-Image Turbo` as a fast distilled diffusion model.
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- The workflow is distributed as an image with embedded Comfy metadata, so you load it by dragging the PNG into ComfyUI.
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- The example page points to:
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- `qwen_3_4b.safetensors`
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- `z_image_turbo_bf16.safetensors`
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- `ae.safetensors`
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## Our notes
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- This is the cleanest official `Z-Image Turbo` starting point we have right now.
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- On a `3070`, this looks more plausible as a practical fast image-generation workflow than many heavier FLUX variants.
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- If `Z-Image` turns into a real favorite, this workflow will likely become one of the main inputs for a future `optimized/text-to-image/` master.
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## Required custom nodes
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- none beyond current official Comfy support for the embedded example workflow
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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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- Load by dragging `workflow.png` into ComfyUI.
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- Best current `Z-Image Turbo` baseline in the repo.
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