Character Swap – Analyze
namifusion/character-swap/analyze
namifusion/character-swap/analyze. 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
完整參數參考、輸出結構與即時價格
| AI 模型 API 市集 | 一個平台,全部完成 | 最受歡迎 | 服務條款 | 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。 |
|---|---|---|---|---|
| resolutionResolution | select | 720p | 480p | 720p |
完整參數參考、輸出結構與即時價格
| 深入了解 | 一個平台,全部完成 | 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。 |
|---|---|---|
| objects | array | |
| video_info | object | |
| analysis_id | string | |
| detected_objects | number | |
| track_manifest_url | string |
API
瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/namifusion/character-swap/analyze" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"resolution": "720p"
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/namifusion/character-swap/analyze",
headers=HEADERS,
json={
"input": {
"resolution": "720p"
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 1800s server-side.
deadline = time.time() + 1860
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/namifusion/character-swap/analyze", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"resolution": "720p"
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 1800s server-side.
const deadline = Date.now() + 1860 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);API 文件
Character Swap - Analyze
Detect and track every person in a video before assigning replacement character references.
Character Swap Analyze is the first stage of the two-step Character Swap workflow. It follows people across the input video and returns the obj_id values and track_manifest_url required by the Generate stage. This model does not replace anyone by itself. Keep the analysis result together with the original video and resolution so the next request uses a consistent set of inputs.
Key Features
- Person detection and tracking: Identifies people in the video and builds object tracks across frames.
- Selectable previews: Returns an
objectslist with each person'sobj_id, preview, mask, and coverage information. - Generate-ready manifest: Produces a
track_manifest_urlthat can be passed directly to Character Swap Generate. - Video metadata: Includes width, height, FPS, and frame count in
video_info. - 480p and 720p analysis: Lets you select the same resolution that will be used for generation.
Technical Specifications
| Item | Details |
|---|---|
| Workflow | Character Swap step 1 |
| Required input | video_url |
| Maximum video length | 30 seconds |
| Resolution | 480p, 720p (default) |
| Main outputs | objects, track_manifest_url, video_info |
| Next model | namifusion/character-swap/generate |
Basic Workflow
- Send the video URL and selected resolution to
namifusion/character-swap/analyze. - Poll the task result endpoint until processing completes.
- Review the previews in
objectsand select theobj_idvalues to replace. - Pass the same
video_url, returnedtrack_manifest_url, and selected IDs to the Generate stage.
Pricing
The existing Marketplace rate is 10 credits per analysis request. This documentation update does not change pricing.
Best Practices
Use a video no longer than 30 seconds in which each person remains clearly visible. Heavy motion blur, long full occlusions, and very small subjects can reduce tracking quality. In Generate, use the same video, resolution, and manifest produced by this Analyze task; do not mix results from separate analyses.
相關模型
Head Swap – Generate
namifusion/head-swap/generate. 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
Head Swap – Analyze
namifusion/head-swap/analyze. 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
Character Swap – Generate
namifusion/character-swap/generate. 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。