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工作流 / 节点基础 / 提示词多批次生成
提示词多批次生成

提示词多批次生成

Prompt Multi Batch Generation

同时发送多个提示词以在单个队列中生成独立输出。连接到蓝图或合作节点以进行任意模态的批次处理。用于提示词变体比较和批量生成。

节点基础 5 个节点 14 次使用 ComfyUI ≥ 0.11.0 ComfyUI 29 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 3 个权重文件，其中 3 个能在本站模型库里找到。

ae.safetensors 在模型库查看
qwen_3_4b.safetensors 在模型库查看
z_image_turbo_bf16.safetensors 在模型库查看

节点构成

MarkdownNote × 2
SaveImage × 1
FL_PromptMulti × 1
7303f448-e1db-423d-94fd-2aa831206df2 × 1

官方标注的模型

Z-Image-Turbo

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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25 "# ⚡ FL Prompt Multi\n\nSends multiple prompts **at the same time** — each slot runs independently and \ngenerates its own output in a single queue entry.\n\n---\n\n## ⚠️ Each prompt slot = one run\n\nFill 6 slots, spend 6 runs. This adds up fast — especially with Partner Nodes \nwhere every run costs credits.\n\n- Test with 2 slots before filling them all\n- Blank or unused slots may still trigger a run\n- Keep an eye on the queue panel so you can interrupt early\n\n---\n\n## Setup\n\n1. Write each prompt on its own line — one prompt per line\n2. Connect the output to a Blueprint or Partner Node to run generations of any modality\n3. Queue — all prompts fire together\n\n---\n\n## Use this node for\n\n✅ Prompt variation comparisons \n✅ Batch image generation \n❌ Single outputs — just use a regular prompt node \n❌ Active iteration/testing — you'll burn credits fast\n\n---\n\n_💡 Every line = one press of Queue. Fill with intention._"
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207 "## Report workflow issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n\n## Model links\n\n- [Hugging Face:Comfy-Org/z_image_turbo](https://huggingface.co/Comfy-Org/z_image_turbo)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/z_image_turbo](https://modelscope.cn/models/Comfy-Org/z_image_turbo)\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors) (7.49 GB)\n\n**loras**\n\n- [pixel_art_style_z_image_turbo.safetensors](https://huggingface.co/tarn59/pixel_art_style_lora_z_image_turbo/resolve/main/pixel_art_style_z_image_turbo.safetensors) (162.2 MB)\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors) (11.46 GB)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors) (319.8 MB)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen_3_4b.safetensors\n│ ├── 📂 loras/\n│ │ └── pixel_art_style_z_image_turbo.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── z_image_turbo_bf16.safetensors\n│ └── 📂 vae/\n│ └── ae.safetensors\n```\n"
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