black-forest-labs/flux-3/first-last-frame-to-video

画像から動画

BLACKFORESTLABS FLUX 3 First & Last Frame-to-Video API by Black Forest Labs

black-forest-labs/flux-3/first-last-frame-to-video

First-last-frame-to-video

Generate a video between a start frame and an end frame using FLUX 3.

BLACKFORESTLABS FLUX 3 First & Last Frame-to-Video は Black Forest Labs が開発したモデルです。Atlas Cloud（運営：Atlas Cloud AI LLC）は本モデルへのアクセスを提供するものであり、その所有者ではありません。すべての商標は各所有者に帰属します。

入力

プロンプト

最初のフレーム *

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

最後のフレーム *

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

アスペクト比

解像度

長さ

オーディオ生成

セーフティ許容度

シード

出力

待機中

生成された動画がここに表示されます

設定を構成して「実行」をクリックして開始

各実行には$0.17かかります。$10で約58回実行できます。

次にできること：

Seedance 2.0 Kling v3 Vidu Wan2.7

パラメータ

コード例
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "black-forest-labs/flux-3/first-last-frame-to-video",  # Required. model name
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Text description of the video to generate
    "start_image_url": "example_value",  # Required. URL of the image used as the first frame of the video (PNG, JPEG, or WebP)
    "end_image_url": "example_value",  # Required. URL of the image used as the last frame of the video (PNG, JPEG, or WebP)
    "aspect_ratio": "auto",  # Aspect ratio of the generated video
    "resolution": "720p",  # Resolution of the generated video. options: 720p | 1080p
    "duration": 5,  # Duration of the generated video in seconds
    "generate_audio": True,  # Whether to generate audio for the video
    "safety_tolerance": 2,  # Safety tolerance level. (min: 0, max: 4)
    "seed": 0,  # Random seed for reproducibility. (min: 0)
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

インストール

お使いの言語に必要なパッケージをインストールしてください。

pip install requests

認証

すべての API リクエストには API キーによる認証が必要です。API キーは Atlas Cloud ダッシュボードから取得できます。

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP ヘッダー

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

API キーを安全に保管してください

API キーをクライアントサイドのコードや公開リポジトリに公開しないでください。代わりに環境変数またはバックエンドプロキシを使用してください。

リクエストを送信

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

リクエストを送信

非同期生成リクエストを送信します。API は予測 ID を返し、それを使用してステータスの確認や結果の取得ができます。

POST/api/v1/model/generateVideo

リクエストボディ

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "black-forest-labs/flux-3/first-last-frame-to-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

レスポンス

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

ステータスを確認

予測エンドポイントをポーリングして、リクエストの現在のステータスを確認します。

GET/api/v1/model/prediction/{prediction_id}

ポーリング例

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

ステータス値

processingリクエストはまだ処理中です。

completed生成が完了しました。出力が利用可能です。

succeeded生成が成功しました。出力が利用可能です。

failed生成に失敗しました。エラーフィールドを確認してください。

完了レスポンス

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

ファイルをアップロード

Atlas Cloud ストレージにファイルをアップロードし、API リクエストで使用できる URL を取得します。multipart/form-data を使用してアップロードします。

POST/api/v1/model/uploadMedia

アップロード例

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

レスポンス

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

入力 Schema

以下のパラメータがリクエストボディで使用できます。

合計: 10必須: 3任意: 7

modelstringrequired

model name

Default: "black-forest-labs/flux-3/first-last-frame-to-video"

promptstring

Text description of the video to generate.

start_image_urlstringrequired

URL of the image used as the first frame of the video (PNG, JPEG, or WebP).

Format: uri

end_image_urlstringrequired

URL of the image used as the last frame of the video (PNG, JPEG, or WebP).

Format: uri

aspect_ratiostring

Aspect ratio of the generated video. auto lets the model choose.

Default: "auto"

auto21:92:116:94:31:13:49:16

resolutionstring

Resolution of the generated video.

Default: "720p"

720p1080p

durationinteger

Duration of the generated video in seconds. An explicit duration is required to place the end frame.

Default: 5

567891011121314151617181920

generate_audioboolean

Whether to generate audio for the video.

Default: true

safety_toleranceinteger

Safety tolerance level. 0 is the strictest and 4 is the most permissive.

Default: 2Min: 0Max: 4

seedinteger

Random seed for reproducibility.

Min: 0

リクエストボディの例

{
  "model": "black-forest-labs/flux-3/first-last-frame-to-video",
  "start_image_url": "example_start_image_url",
  "end_image_url": "example_end_image_url",
  "aspect_ratio": "auto",
  "resolution": "720p",
  "duration": 5,
  "generate_audio": true,
  "safety_tolerance": 2
}

出力 Schema

API は生成された出力 URL を含む予測レスポンスを返します。

modelstring

model name

Default: "black-forest-labs/flux-3/first-last-frame-to-video"

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

outputsarray

Array of URLs to the generated videos. Null when status is not completed.

statusstring

Status of the task: created, processing, completed, or failed.

レスポンス例

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills は 400 以上の AI モデルを AI コーディングアシスタントに直接統合します。ワンコマンドでインストールし、自然言語で画像・動画生成や LLM との対話が可能です。

対応クライアント

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 対応クライアント

インストール

npx skills add AtlasCloudAI/atlas-cloud-skills

API キーの設定

Atlas Cloud ダッシュボードから API キーを取得し、環境変数として設定してください。

export ATLASCLOUD_API_KEY="your-api-key-here"

機能

インストール後、AI アシスタントで自然言語を使用してすべての Atlas Cloud モデルにアクセスできます。

画像生成Nano Banana 2、Z-Image などのモデルで画像を生成します。

動画作成Kling、Vidu、Veo などでテキストや画像から動画を作成します。

LLM チャットQwen、DeepSeek などの大規模言語モデルと対話します。

メディアアップロード画像編集や画像から動画へのワークフロー用にローカルファイルをアップロードします。

詳細を見る

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server は Model Context Protocol を通じて IDE と 400 以上の AI モデルを接続します。MCP 対応のあらゆるクライアントで動作します。

対応クライアント

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 対応クライアント

インストール

npx -y atlascloud-mcp

設定

以下の設定を IDE の MCP 設定ファイルに追加してください。

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

利用可能なツール

atlas_generate_imageテキストプロンプトから画像を生成します。

atlas_generate_videoテキストや画像から動画を作成します。

atlas_chat大規模言語モデルと対話します。

atlas_list_models400 以上の利用可能な AI モデルを閲覧します。

atlas_quick_generate最適なモデルを自動選択し、ワンステップでコンテンツを作成。

atlas_upload_mediaAPI ワークフロー用にローカルファイルをアップロードします。

詳細を見る

github.com/AtlasCloudAI/mcp-server

APIスキーマ

{
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "schema": {
              "type": "string",
              "description": "Request ID"
            },
            "required": true
          }
        ]
      },
      "x-api-name": "model_result"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "black-forest-labs/flux-3/first-last-frame-to-video"
          },
          "prompt": {
            "description": "Text description of the video to generate.",
            "type": "string"
          },
          "start_image_url": {
            "description": "URL of the image used as the first frame of the video (PNG, JPEG, or WebP).",
            "type": "string",
            "format": "uri",
            "x-ui-component": "image-upload"
          },
          "end_image_url": {
            "description": "URL of the image used as the last frame of the video (PNG, JPEG, or WebP).",
            "type": "string",
            "format": "uri",
            "x-ui-component": "image-upload"
          },
          "aspect_ratio": {
            "description": "Aspect ratio of the generated video. auto lets the model choose.",
            "type": "string",
            "default": "auto",
            "enum": [
              "auto",
              "21:9",
              "2:1",
              "16:9",
              "4:3",
              "1:1",
              "3:4",
              "9:16"
            ],
            "x-ui-component": "select"
          },
          "resolution": {
            "description": "Resolution of the generated video.",
            "type": "string",
            "default": "720p",
            "enum": [
              "720p",
              "1080p"
            ],
            "x-ui-component": "select"
          },
          "duration": {
            "description": "Duration of the generated video in seconds. An explicit duration is required to place the end frame.",
            "type": "integer",
            "default": 5,
            "enum": [
              5,
              6,
              7,
              8,
              9,
              10,
              11,
              12,
              13,
              14,
              15,
              16,
              17,
              18,
              19,
              20
            ],
            "x-ui-component": "select"
          },
          "generate_audio": {
            "description": "Whether to generate audio for the video.",
            "type": "boolean",
            "default": true,
            "x-ui-component": "switch"
          },
          "safety_tolerance": {
            "description": "Safety tolerance level. 0 is the strictest and 4 is the most permissive.",
            "type": "integer",
            "default": 2,
            "minimum": 0,
            "maximum": 4,
            "x-ui-component": "slider"
          },
          "seed": {
            "description": "Random seed for reproducibility.",
            "type": "integer",
            "minimum": 0
          }
        },
        "required": [
          "model",
          "start_image_url",
          "end_image_url"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "start_image_url",
          "end_image_url",
          "prompt",
          "aspect_ratio",
          "resolution",
          "duration",
          "generate_audio",
          "safety_tolerance",
          "seed"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "black-forest-labs/flux-3/first-last-frame-to-video"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated videos. Null when status is not completed.",
            "items": {
              "type": "string"
            },
            "nullable": true,
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLMフレンドリーなプロンプトテンプレート

# black-forest-labs/flux-3/first-last-frame-to-video

> Generate a video between a start frame and an end frame using FLUX 3.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `black-forest-labs/flux-3/first-last-frame-to-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"black-forest-labs/flux-3/first-last-frame-to-video"`

- **`start_image_url`** (`string`, _required_):
  URL of the image used as the first frame of the video (PNG, JPEG, or WebP).

- **`end_image_url`** (`string`, _required_):
  URL of the image used as the last frame of the video (PNG, JPEG, or WebP).

- **`prompt`** (`string`, _optional_):
  Text description of the video to generate.

- **`aspect_ratio`** (`string`, _optional_):
  Aspect ratio of the generated video. auto lets the model choose.
  - Default: `"auto"`
  - Options: "auto", "21:9", "2:1", "16:9", "4:3", "1:1", "3:4", "9:16"

- **`resolution`** (`string`, _optional_):
  Resolution of the generated video.
  - Default: `"720p"`
  - Options: "720p", "1080p"

- **`duration`** (`integer`, _optional_):
  Duration of the generated video in seconds. An explicit duration is required to place the end frame.
  - Default: `5`
  - Options: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate audio for the video.
  - Default: `true`

- **`safety_tolerance`** (`integer`, _optional_):
  Safety tolerance level. 0 is the strictest and 4 is the most permissive.
  - Default: `2`
  - Min: 0
  - Max: 4

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility.
  - Min: 0



**Required Parameters Example**:

```json
{
  "model": "black-forest-labs/flux-3/first-last-frame-to-video",
  "start_image_url": "",
  "end_image_url": ""
}
```


**Full Example**:

```json
{
  "model": "black-forest-labs/flux-3/first-last-frame-to-video",
  "start_image_url": "",
  "end_image_url": "",
  "prompt": "",
  "aspect_ratio": "auto",
  "resolution": "720p",
  "duration": 5,
  "generate_audio": true,
  "safety_tolerance": 2,
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"black-forest-labs/flux-3/first-last-frame-to-video"`

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated videos. Null when status is not completed.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "model": "black-forest-labs/flux-3/first-last-frame-to-video",
  "created_at": "",
  "id": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "black-forest-labs/flux-3/first-last-frame-to-video",
  "start_image_url": "",
  "end_image_url": "",
  "prompt": "",
  "aspect_ratio": "auto",
  "resolution": "720p",
  "duration": 5,
  "generate_audio": true,
  "safety_tolerance": 2,
  "seed": 0
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/black-forest-labs/flux-3/first-last-frame-to-video)

A mysterious traveler moving through a massive space-time tunnel, surrounded by swirling galaxies, glowing energy waves, and fragments of different eras floating in the cosmic vortex. The character reaches forward as countless timelines unfold around them, ancient civilizations, futuristic cities, and unknown worlds appearing in the distance. Epic cinematic composition, dramatic lighting, sci-fi atmosphere, ultra realistic, IMAX movie style, volumetric light, 8K, masterpiece.

読み込み中...

FLUX 3 First & Last Frame to Video

FLUX 3 First & Last Frame to Video generates a smooth video transition between two images. Provide a start frame and an end frame, add a prompt describing the motion in between, and the model fills in a cinematic clip that begins and ends exactly on your images — with optional native audio.

Why Choose This?

Precise start and end control Pin both the opening and closing frames for exact transitions.
Native audio generation Produce video and synchronized audio in a single request.
Explicit duration required Duration must be set explicitly so the model knows where to place the end frame.
Flexible aspect ratios auto, 21:9, 2:1, 16:9, 4:3, 1:1, 3:4, or 9:16.
High resolution output Generate videos in 720p or 1080p.

Parameters

Parameter	Required	Description
start_image_url	Yes	URL of the image used as the first frame (PNG, JPEG, or WebP)
end_image_url	Yes	URL of the image used as the last frame (PNG, JPEG, or WebP)
prompt	No	Text description of the motion between the two frames
aspect_ratio	No	Aspect ratio of the generated video. Default: `auto`. Options: `auto`, `21:9`, `2:1`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16`
resolution	No	Video resolution. Default: `720p`. Options: `720p`, `1080p`
duration	No	Duration in seconds. Default: `5`. Options: `5`–`20`. Cannot be `auto` — an explicit value is required to place the end frame
generate_audio	No	Whether to generate audio. Default: `true`
safety_tolerance	No	Safety level 0 (strictest) to 4 (most permissive). Default: `2`
seed	No	Random seed for reproducibility

How to Use

Provide your start image — the video opens on this frame.
Provide your end image — the video closes on this frame.
Write your prompt — describe the motion, action, and camera movement between the two frames.
Set duration explicitly — pick a value from 5–20 seconds (auto is not supported here).
Choose resolution and aspect ratio.
Run — submit and download your video.

Pricing

Billed per second of generated video, by resolution:

Resolution	Cost per second
1080p	$0.319
720p	$0.187

Best Use Cases

Scene Transitions — Morph smoothly from one scene to another.
Before & After — Animate a transformation between two states.
Storytelling — Bridge two key moments in a visual narrative.
Product Demos — Show a product moving from one configuration to another.

Pro Tips

Keep the two images' aspect ratios similar for the cleanest interpolation.
Describe what happens between the frames in the prompt, not what's in them.
Use longer durations for complex transitions; shorter for snappy cuts.
Describe ambient sounds for richer audio output when generate_audio: true.

Notes

Both start_image_url and end_image_url are required.
duration cannot be "auto" — the model needs an explicit frame count to anchor the end image.
Accepted image formats: PNG, JPEG, WebP.
Generation is asynchronous — submit, then poll for the finished video.

FLUX 3 Text-to-Video — Generate video from a text prompt alone.
FLUX 3 Image-to-Video — Animate a single starting image.
FLUX 3 Keyframes to Video — Pin multiple images to exact frame positions.
FLUX 3 Extend Video — Continue an existing video clip.

BLACKFORESTLABS FLUX 3 First & Last Frame-to-Video API by Black Forest Labs

入力

出力

パラメータ

コード例

インストール

認証

HTTP ヘッダー

リクエストを送信

リクエストを送信

リクエストボディ

レスポンス

ステータスを確認

ポーリング例

ステータス値

完了レスポンス

ファイルをアップロード

アップロード例

レスポンス

入力 Schema

リクエストボディの例

出力 Schema

レスポンス例

Atlas Cloud Skills

対応クライアント

インストール

API キーの設定

機能

MCP Server

対応クライアント

インストール

設定

利用可能なツール

APIスキーマ

LLMフレンドリーなプロンプトテンプレート

FLUX 3 First & Last Frame to Video

Why Choose This?

Parameters

How to Use

Pricing

Best Use Cases

Pro Tips

Notes

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ひとつのAPIで、あらゆるメディアAIを。

入力

出力

パラメータ

コード例

インストール

認証

HTTP ヘッダー

リクエストを送信

リクエストを送信

リクエストボディ

レスポンス

ステータスを確認

ポーリング例

ステータス値

完了レスポンス

ファイルをアップロード

アップロード例

レスポンス