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Ideogram 4文生图8步加速最优实现 (Episode 270)
Ideogram 4文生图8步加速最优实现 (Episode 270)
Ideogram 4文生图8步加速最优实现 (Episode 270)
# Ideogram 4文生图8步加速最优实现 (Episode 270) ComfyUI workflow from **AI-KSK episode 270**. **File:** `Ideogram 4文生图8步加速最优实现.json` ## How to run 1. Open ComfyUI. 2. Drag `Ideogram 4文生图8步加速最优实现.json` onto the canvas. 3. Install m…
图像
55 个节点 AIKSK 78 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
29_ideogram-4-8-episode-270.json
模型库暂未收录
节点构成
MarkdownNote
× 13
JsonExtractString
× 7
ComfyNumberConvert
× 6
LoraLoaderModelOnly
× 4
PrimitiveInt
× 2
ComfyMathExpression
× 2
UNETLoader
× 2
ModelSamplingAuraFlow
× 2
VAELoader
× 1
SamplerCustomAdvanced
× 1
VAEDecode
× 1
KSamplerSelect
× 1
RandomNoise
× 1
StringReplace
× 1
ResolutionSelector
× 1
SaveImage
× 1
官方标注的模型
flux2-vae.safetensorsideogram4_fp8_scaled.safetensorsideogram4_unconditional_fp8_scaled.safetensorsideogram_4_turbotime_v1.safetensorsqwen3vl_8b_fp8_scaled.safetensorsvintage-anime-ideogram_v3.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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1089 "Seed、采样器、BasicScheduler simple、潜空间画布都在这里。当前主流程已把 Ideogram4Scheduler 替换为 BasicScheduler simple；默认配合 Euler、TurboTime_8Step、8步预览。"
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1141 "VAEDecode 把 latent 解码成图片，再回到主画布 SaveImage 保存。"
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1146 "title": "⑥ 输出区说明",
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1167 "宽高输入会自动对齐到 16 的倍数，并且最低不小于 256，避免 Ideogram 4 分辨率不合法。"
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1193 "本流程的预设表已按今天测试结论重写。当前默认：Accelerated_Best_Default。第二层用户 LoRA 口默认权重 0.40，默认双模型加载，但节点保持旁路，方便用户自行替换 LoRA 后启用。"
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1219 "修正版：预设表保留作说明，实际运行参数已改为直接节点值，避免 Convert Number 空字符串报错。\n\n## 最终加速默认流\n\n用途：文生图快速预览、日常应用、批量出图。\n\n结论预设：\n- TurboTime 开启，权重 0.60\n- Steps = 8\n- BasicScheduler simple + Euler\n- Shift = 7\n- DualModelGuider CFG = 3.5\n- CFGOverride = 1.0 / start 0.7 / end 1.0\n- 第二层用户 LoRA 口保留：默认权重 0.40，建议 main + unconditional 双模型同时启用\n\n当前第二层 LoRA 口默认旁路，不强制加载。用户要用自己的风格 / 角色 LoRA 时，把两个“用户LoRA口”节点改成同一个 LoRA 并启用即可。"
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1245 "## 模型下载与存放路径（本地用户）\n\n这个工作流需要 5 个核心文件。先把模型放对目录，再拖入 workflow 运行。\n\n### VAE\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\n\n### diffusion_models\n- [ideogram4_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Ideogram-4/resolve/main/diffusion_models/ideogram4_fp8_scaled.safetensors)\n- [ideogram4_unconditional_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Ideogram-4/resolve/main/diffusion_models/ideogram4_unconditional_fp8_scaled.safetensors)\n\n### text_encoders\n- [qwen3vl_8b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen3-VL/resolve/main/text_encoders/qwen3vl_8b_fp8_scaled.safetensors)\n- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors)\n\n### 存放结构\n```text\nComfyUI/\n└── models/\n ├── vae/\n │ └── flux2-vae.safetensors\n ├── diffusion_models/\n │ ├── ideogram4_fp8_scaled.safetensors\n │ └── ideogram4_unconditional_fp8_scaled.safetensors\n └── text_encoders/\n ├── qwen3vl_8b_fp8_scaled.safetensors\n └── gemma4_e4b_it_fp8_scaled.safetensors\n```\n\n### 运行前提醒\n- 先更新 ComfyUI。\n- 本地模型缺失时，节点会红色报错。\n- 这个开放权重协议是非商用，商业用途要单独确认授权。"
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1271 "## Ideogram 4 工作流说明\n\n这个流程是 Ideogram 4 文生图流程，重点不是普通写实图，而是：\n\n- 海报设计\n- 标题文字图\n- Logo / 品牌视觉\n- 封面图\n- 有明确布局的设计图\n\n### 提示词结构\nIdeogram 4 更适合结构化 JSON caption。普通自然语言也能跑，但 JSON prompt 对布局、颜色、文字和元素位置更稳定。\n\n### 双模型引导原理\n流程里有两个模型分支：\n\n- 主模型：读取 prompt，负责“听话”。\n- unconditional 模型：不看 prompt，负责提供基准线。\n- DualModelGuider：对比两者差异，把生成方向推向提示词目标。\n\n### 安全提示\n如果出现 “Image blocked by safety filter”，这是模型训练自带的安全行为，不是 ComfyUI 额外加的过滤器。"
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1297 "## JSON Prompt 辅助模板说明\n\n这个区域不是直接生成图片的主流程，而是帮助你把普通想法整理成 Ideogram 4 更容易理解的结构化 JSON prompt。\n\n建议用法：\n1. 在 user_prompt 输入你的口语描述。\n2. 复制右侧输出的 JSON prompt。\n3. 粘贴回主流程 prompt。\n4. 再运行主流程生成图片。\n\n如果安装 / 更新 KJNodes，也可以尝试使用 **Ideogram 4 Prompt Builder KJ** 节点做可视化提示词控制。\n\n注意：JSON 的字段名建议保持英文，不要全部汉化，否则可能影响 schema 兼容和模型理解。"
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