upscale vosr2 workflow

从 ModelTrends 导入

VOSR 2.0 image upscaler. Send a small, blurry or low-quality picture and get back a sharp, detailed one, 4x bigger by default. It is a one-step AI restorer (1.4B parameters), so it is fast, needs no prompt, and rebuilds fine detail such as textures, faces and small text instead of just stretching pixels. Reply to an image, or attach one. Nothing else is required. Controls: slot1 = upscale factor (default 4; 2-4 gives the most reliable results) /seed = changes the invented fine detail slot2 = colour match to the original: wavelet (default), adain or none slot3 = tile size in pixels (default 512; the model was trained at 512 so keep it for big outputs) slot4 = tile overlap (default 64) slot5 = VAE tile size (default 1024; stops out-of-memory on large outputs) slot6 = VAE tile overlap (default 128) Good to know: the added detail is generated to look right, not guaranteed to be what the original scene really contained, so do not use it as evidence. Keep the input small (under about 1000 px on the long side) so the result stays within the time limit.

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兼容 / 可用于 Graydient 支持的应用

简单聊天创建器（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:upscale-vosr2`	Workflow shortcode	upscale-vosr2

使用的模型

upscale vosr2 模型由 ModelTrends 通过短代码 /run:upscale-vosr2 导入在 ModelTrends 查看

面向开发者（可选）

示例 API 代码片段。你可以用这个工作流程构建自己的应用程序供个人使用。准备好向全球部署时，请联系我们获取高可用服务器。查看完整渲染 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:upscale-vosr2 ",
    "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。

This workflow page lists the shortcode, options and ModelTrends downloads. The full node graph is available with the workflow download on ModelTrends. The node graph for this workflow is not drawn on this page yet. Open it on ModelTrends to download the workflow file and the models it loads.

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