qwen 工作流程
Qwen-Image is the image generation foundation model of Alibaba's Qwen team, released as open weights in August 2025. It is a 20-billion-parameter multimodal diffusion transformer that reads prompts through the Qwen2.5-VL vision-language model, and its headline strength is text: it renders long paragraphs, multi-line signs, posters and mixed Chinese and English typography with an accuracy no earlier open model reached. The same team's technical report also shows strong results for layout-heavy prompts, infographics and precise image editing, and the companion Qwen-Image-Edit model is the basis of many editing workflows. It generates natively around 1.3 to 1.6 megapixels in the usual aspect ratios and takes natural-language prompts rather than tag lists; the team recommends appending quality phrases such as 'Ultra HD, 4K, cinematic composition'. This entry is the version 2512 text-to-image workflow (the December 2025 refresh of the weights); the original release is kept as qwen-v1.
支援 Graydient 技術的應用程式
選項
| 選項 | 映射至 | 預設 |
|---|---|---|
(prompt) | Prompt text | — |
/run:qwen | Workflow shortcode | qwen |
使用的模型
qwen 模型由 ModelTrends 透過短碼 /run:qwen 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:qwen ",
"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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