iris3b 工作流程
Iris-3B in one workflow: make pictures, read depth, or restore and enlarge. Iris paints directly in pixel space (no VAE), at full-quality weights. PICK A MODE with slot1: 0 (default) - Text to image: describe the picture in plain language (subject, materials, light, framing; about 295 tokens are read). No negative prompt on purpose - Iris is trained to work with an empty one. Uses the official 100-step reference sampler. Controls: steps, guidance (3 = reference), seed, width/height (about 1 megapixel, multiples of 16, e.g. 1024x1024, 1216x832), slot2 = sampling shift (4 = reference). 1 - Depth map: attach an image (image1) and set slot1 to 1. You get a grey-scale relative depth picture, dark = near, bright = far. slot3 = detail (megapixels the image is resized to, 0.6 default, up to 1.0). 2 - Upscale x4 / restore: attach an image (image1) and set slot1 to 2. Cleans up and enlarges 4x. Works best on small or soft images; the image is first resized to about 0.1 megapixel (slot4 sets this, up to 0.25), so the result is roughly 1300 pixels wide. Made of: Iris-3B by Speridlabs (Apache-2.0) with its depth model and upscaler LoRA, bf16, plus a Qwen3-VL 4B text encoder, running through the ComfyUI-Iris loader. The first run on a cold machine downloads about 21 GB and can take several minutes.
支援 Graydient 技術的應用程式
選項
| 選項 | 映射至 | 預設 |
|---|---|---|
(prompt) | Prompt text | — |
/run:iris3b | Workflow shortcode | iris3b |
使用的模型
/run:iris3b 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:iris3b ",
"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。
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