Void Video Inpainting
集成
模型 id
void-video-inpainting
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/void-video-inpainting?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/void-video-inpainting?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/void-video-inpainting", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/zh/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "void-video-inpainting",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
通过 Doitong API 调用 Void Video Inpainting 模型(void-video-inpainting)。智能体文档:https://doitong.com/zh/developers/models/void-video-inpainting.md
POST https://api.doitong.com/v1/run/void-video-inpainting?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到状态变为 "succeeded";文件位于 outputs[].url。使用相同请求体 POST https://api.doitong.com/v1/quote/void-video-inpainting,可在运行前返回确切价格。
与示例类似的文件: $0.10 100 API 积分 运行前会测量你的文件 在此页面运行
你的新 API 密钥。 它仅在此时显示,并且已填入下方的代码和 API 密钥字段中。请妥善保密:切勿将其放入在浏览器中运行的代码。
构建请求
控件根据模型架构生成。更改控件时,代码和价格会同步更新。
POST
/run/void-video-inpainting?wait=20
报价 → $0.10
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/void-video-inpainting?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/void-video-inpainting?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/void-video-inpainting", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "void-video-inpainting",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
关于 Void Video Inpainting
接收 `video_url` 和描述目标背景的 `prompt`。提供 `quad_mask_video_url`,或提供 `mask_prompt` 以生成遮罩。控制项包括 `num_frames`(1-197)、`num_inference_steps`(1-50)、`guidance_scale`、`strength`,以及用于时间一致性的可选较慢 `enable_pass2_refinement`。
参数
发送规范名称或原生名称之一,不要同时发送两者。 规范名称
名称类型
默认值允许值
描述
video_url必填
video
类型url · video
包含目标移除对象的源视频 URL。
quad_mask_video_url可选
类型url · video
默认值
移除掩码视频 URL;如果未提供,应用会通过 SAM-3 视频端点使用 `mask_prompt` 创建临时视频掩码,然后自动将其转换为四值掩码。为获得最佳效果,请提供 VOID 风格的四值掩码,使用 4 个灰度值:255 表示保留的背景,127 表示受影响区域,63 表示重叠区域,0 表示要移除的对象。也接受二值掩码,其中 255 表示保留,0 表示移除。
mask_prompt可选
类型string | null
用于指导 SAM-3 创建临时掩码视频的掩码目标指令(未提供 `quad_mask_video_url` 时使用)。请指出要掩码的对象,例如要从源视频中移除的物体或人物。
prompt必填
类型string
描述移除对象后背景应呈现的样子。
enable_pass2_refinement可选
类型boolean
默认值false
可选的 VOID 优化,在更长片段中以较慢的处理速度换取可能更好的时间一致性。它会在第 1 遍之后,将变形噪声优化作为第 2 遍应用。
negative_prompt可选
类型string
默认值The video is not of a high quality, it has a low resolution. Watermark present in each frame. The background is solid. Strange body and strange trajectory. Distortion.
描述不需要结果、用于引导生成避开这些结果的负面提示词。
num_inference_steps可选
类型integer
默认值30
1 – 50
去噪步数。增加步数可以提升质量,但会增加延迟。
guidance_scale可选
类型number
默认值1
0 – 20
无分类器引导的强度。
strength可选
类型number
默认值1
0 – 1
去噪强度,1.0 表示完全去噪。
seed可选
类型integer | null
控制随机性的种子,以获得可复现的结果。
num_frames可选
类型integer
默认值85
1 – 197
请求的时间推理窗口,后端会将其调整为 CogVideoX 安全尺寸之一:69、77、85、...、197。系统会选择最接近的尺寸,以适应时间压缩和分块处理。
enable_safety_checker可选
类型boolean
默认值true
启用生成内容的安全检查。
必填
规范名称,也可接受
文件参数接受公开的 https:// URL、最大 10 MB 的 data: URI,或上传文件的 file_url。 文件
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "void-video-inpainting",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 100,
"usd": "0.10",
"charged": 100,
"refunded": 0
},
"input": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
},
"seed": 42,
"timings": {}
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
你的文件,由你选择每个 outputs[].url 都是存储中的副本:可永久保存(按 GB-月付费),也可免费保存 7 天,由账户设置或 ?storage= 决定。
每个模型的结构相同图像、视频和音频均包含 type、url、content_type、width、height 和 duration。output 是模型自身的结果对象。
输出字段
- video
- object {url, content_type, file_name, file_size}移除对象后生成的视频。
- seed
- integer生成期间应用的种子值。
- timings
- object流水线各阶段的计时详情。
更多模型:视频转换
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/void-video-inpainting.md. 所有模型和指南: https://doitong.com/developers/llms.txt