upscale vosr2 工作流程
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.
支援 Graydient 技術的應用程式
選項
| 選項 | 映射至 | 預設 |
|---|---|---|
(prompt) | Prompt text | — |
/run:upscale-vosr2 | Workflow shortcode | upscale-vosr2 |
使用的模型
upscale vosr2 模型由 ModelTrends 透過短碼 /run:upscale-vosr2 匯入 在 ModelTrends 查看 給開發者（可選）
API 範例程式碼。你可以用此工作流程建立個人使用的應用程式。準備部署時請 升級為商業方案。詳見 完整渲染 API 文件。
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"
}'這是幕後運作方式。這已經為你設定好。上表中的參數會插入這些位置，讓你能改變運作方式及載入的模型。你不必理解或修改它——它已經能正常運作。
此工作流程頁列出短碼、選項及 ModelTrends 下載。完整節點圖可隨工作流程下載於 ModelTrends 取得。 此頁尚未繪製此工作流程的節點圖。請在 ModelTrends 開啟以下載工作流程檔案及其載入的模型。
所有工作流程：強大的工作流程