FLUX.1 Dev ControlNet LoRA API 呼叫參考
在 FLUX.1 上用姿勢、深度或線稿控制，可掛你的 LoRA
只要一把 PopNow API 金鑰，就能在自己的程式裡呼叫 FLUX.1 Dev ControlNet LoRA。以下列出要填的呼叫名稱、這個型號接受的每個輸入欄位、每次請求花多少點數，以及一段可以直接貼進終端機執行的請求。
參數說明直接取自型號的輸入 schema，目前只有英文。
總覽
- 開發商
- Black Forest Labs
- 產出
- 圖片
- 起價
- 5.4 點 每張圖 ($0.054)
1 點 = 0.01 美元。任務受理時會先保留可能的最高費用，完成後依實際用量結算、無條件進位到整點，多保留的會退回；失敗的任務不扣點數。想在執行前知道確切數字，請先呼叫 POST /api/v1/jobs/quote。
生成圖片
black-forest-labs/flux-1-dev-controlnet-lora/text-to-image
價格
| 選項 | 點數 (每張圖) | 美元 |
|---|---|---|
預設 | 5.4 | $0.054 |
參數
| 欄位 | 型別 | 預設值 | 可用值 | 用途 |
|---|---|---|---|---|
prompt必填 | string | — | 最多 5000 個字元 | Describe the picture you want: subject, clothing, setting and light. The control image only sets the layout. |
control_image_url必填 | string (uri) | — | — | Control image: a pose skeleton, depth map, canny or soft-edge line map, or a grayscale or plain photo. The result keeps its aspect ratio. |
control_strength選填 | number | 0.7 | 0 到 1 | How strongly the result follows the control image, from 0 to 1. |
control_guidance_start選填 | number | 0 | 0 到 1 | Fraction of the denoising steps at which the control image starts to apply, from 0 to 1. |
control_guidance_end選填 | number | 0.8 | 0 到 1 | Fraction of the denoising steps at which the control image stops applying, from 0 to 1; not before the start. |
resolution選填 | string | 1k | 1k, 1.5k | Length of the output's long side: 1k is 1024 pixels, 1.5k is 1536. The control image's aspect ratio is kept. |
num_outputs選填 | integer | 1 | 1 到 4 | How many images to generate in one run, from 1 to 4. |
loras選填 | array<object> | [] | 最多 3 項 | Up to three LoRA weight files trained for FLUX.1 dev, each with its own strength. |
guidance_scale選填 | number | 3.5 | 0 到 20 | How closely the image follows the prompt, from 0 to 20. |
steps選填 | integer | 28 | 1 到 50 | Denoising steps, from 1 to 50. Fewer steps return faster and a little softer. |
output_format選填 | string | jpeg | jpeg, png, webp | Container of the returned image. |
seed選填 | integer | — | 0 到 2147483647 | Random seed for controlled comparisons. |
請求範例
這段請求原樣就能執行，沒寫的欄位都用預設值。執行前請先把金鑰放進環境變數 POPNOW_API_KEY。
範例中的 control_image_url 使用 PopNow 的範例素材，請換成你自己的公開 HTTPS 連結、上傳檔案或已儲存的素材。
curl -X POST "https://api.popnow.ai/api/v1/jobs/createTask" \
-H "Authorization: Bearer $POPNOW_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $(uuidgen)" \
-d '{
"model": "black-forest-labs/flux-1-dev-controlnet-lora/text-to-image",
"input": {
"prompt": "A cozy reading nook beside a rain-streaked window, warm lamp light, a sleeping orange cat on a knitted blanket, soft film grain",
"control_image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
"num_outputs": 1
}
}'回應會立刻帶回 taskId。之後用 GET /api/v1/jobs/recordInfo 取得結果，或在請求裡加上 callBackUrl 等候通知。
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=TASK_ID_FROM_CREATE_TASK" \
-H "Authorization: Bearer $POPNOW_API_KEY"