moss 工作流
MOSS-Image: A 5B-parameter open diffusion model with layout control and text rendering in English and Chinese. Powered by Qwen3.5-9B and the FLUX.2 latent space. EXPERIMENTAL / NEW - EXPECT CHANGES Telegram Commands: /run:moss-image [prompt] - Generate an image from description or spatial layout /steps:50 - Sampling steps (default: 50, range: 15-100) /guidance:3.0 - Prompt guidance / CFG (default: 3.0, range: 1.5-6.0) /seed:42 - Reproducible random seed /size:1024x1024 - Output canvas size (multiples of 16, e.g. 1024x1024, 1280x768, 768x1280) /slot1:5.0 - Flow sampling shift (default: 5.0) Tips: - Text Rendering: Put text in quotes within the prompt or use newlines (\n) for line breaks. - Negative Prompt: Default filter cleans up artifacts (worst quality, bad anatomy, blurry, watermark). - Layout Control: Supports 4K token prompts and structured JSON bounding boxes.
兼容 / 可用于 Graydient 支持的应用
示例渲染
使用此工作流程运行的模型制作,由它们的创作者在 ModelTrends 分享。选择缩略图查看大图及生成它的提示词。



提示由 CivitaiOfficial 提供 · moss
best quality, highres, 1girl, silver hair, green eyes, holding a glowing paper lantern, night festival, paper streamers, food stalls in the background, soft bokeh, detailed background, gentle smile, anime illustration
提示由 CivitaiOfficial 提供 · moss
A minimalist travel poster of a still mountain lake at dawn, flat vector style with soft gradients. A bold title "ALPINE LAKES" across the top and the tagline "breathe the quiet" in small capitals along the bottom. Teal, cream and dusty pink palette, clean typography, centered composition.
提示由 akizukirei608 提供 · moss
masterpiece,best quality, absurdres, anime style, cinematic lighting, natural shadow, very aesthetic, highest detail, detailed background, intricate scenery, depth of field, insane details, intricate, subsurface scattering, 1girl, kaela kovalskia, red eyes, red hair ribbon, red headband, jacket, snowboard, snowboarding, jumping, floating, outdoors, snow, ski resort, cinematic composition
渲染和提示词来自 ModelTrends,AI 图像和视频模型目录。
选项
| 选项 | 映射到 | 默认 |
|---|---|---|
(prompt) | Prompt text | — |
/run:moss | Workflow shortcode | moss |
使用的模型
/run:moss 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:moss ",
"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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