ideogram4 工作流

从 ModelTrends 导入

Ideogram 4 text to image. ! Currently very unstable and censored ! Quality settings Instead of steps, you can control quality with /slot2: /slot2:turbo -> fast and rough /slot2:default -> default quality and speed /slot2:quality -> best quality, slowest render This workflow supports two ways to produce the JSON the model expects: (default) Model-assisted (LLM): Enter a short idea in as positive prompt and the system prompt asks LLM to write schema-compliant JSON. You won't see the generated JSON prompt, it is handled only internally. (/slot1:0) Raw input: You may use plain natural language, but structured JSON gives the most predictable layout and style control. Incompatible prompt WILL trigger "safety filter", even if prompt is SFW. About the model The model is trained on structured JSON captions (scene summary, style block, background, and optional per-object descriptions with bounding boxes and hex color palettes). Official inference validates prompts against that schema. Guidance uses flow-matching with asymmetric classifier-free guidance (the unconditional pass drops text tokens)—not a separate negative prompt string. Practical strengths: flexible resolution (about 256–2048 px per side), layout via normalized bounding boxes [y_min, x_min, y_max, x_max] on a 0–1000 grid, palette control with hex colors, and strong in-image text rendering when described in JSON. NOTE: If you see "Image blocked by safety filter" it is because of safety training in the model itself and there

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兼容 / 可用于 Graydient 支持的应用

Easy Creator (Prism) 网页版应用

专业工作室（SpyGlass）网页版应用

Discord 机器人（Vector） Discord

Unified Editor 网页应用

PirateDiffusion Telegram API 任何语言

选项

选项	映射到	默认
`(prompt)`	Prompt text	—
`/run:ideogram4`	Workflow shortcode	ideogram4

使用的模型

ideogram4 模型由 ModelTrends 通过短代码 /run:ideogram4 导入在 ModelTrends 查看

面向开发者（可选）

API 示例代码。你可以用此工作流构建个人应用。准备部署时请升级到商务计划。详见完整渲染 API 文档。

curl https://cloud.graydient.ai/api/v3/render/ \
  -X POST \
  -H "Content-Type: application/vnd.api+json" \
  -H "Accept: application/vnd.api+json" \
  -H "Authorization: Bearer $GRAYDIENT_TOKEN" \
  -d '{
    "prompt": "/workflow /run:ideogram4 ",
    "callback_url": "https://example.com/webhook/render"
  }'

这就是幕后工作原理。已经为你配置好了。上表中的参数插入这些槽位，允许你更改工作方式和加载的模型。你无需理解或修改它——它已经设置好，能直接使用。

此工作流页面列出了短代码、选项和 ModelTrends 下载。完整节点图可随工作流下载在 ModelTrends 获得。此页面尚未绘制该工作流的节点图。请在 ModelTrends 打开以下载工作流文件和加载的模型。

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