upscale vosr2 工作流
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.
兼容 / 可用于 Graydient 支持的应用
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）
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: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。
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。
所有工作流：强大工作流程