iris3b workflow
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.
兼容 / 可用于 Graydient 支持的应用
选项
| 选项 | 映射到 | 默认 |
|---|---|---|
(prompt) | Prompt text | — |
/run:iris3b | Workflow shortcode | iris3b |
使用的模型
/run:iris3b 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:iris3b ",
"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.
所有工作流:强大工作流程