kwaivgi/kling-effects

image-to-video

Kling Effects API by Kuaishou

kwaivgi/kling-effects

Kling-effects

Adds post-processing and stylistic motion effects, expanding creative editing within Kling’s video suite.

INPUT

Effect scene *

Image *

You can drag and drop a file or click to upload

MAX:1

OUTPUT

Idle

Your generated videos will appear here

Configure your settings and click Run to get started

Your request will cost $0.212 per run. For $10 you can run this model approximately 47 times.

Here's what you can do next:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameters

Code Example
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": "kwaivgi/kling-effects",  # Required. model name
    "effect_scene": "example_value",  # Required. Effect scene
    "image": "example_value",  # Required. Image URL or Base64 encoding, in the format of data:image/png;base64,
}

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()

Install

Install the required package for your language.

pip install requests

Authentication

All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.

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

HTTP Headers

import os

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

Keep your API key secure

Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.

Submit a request

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())

Submit a Request

Submit an asynchronous generation request. The API returns a prediction ID that you can use to check the status and retrieve the result.

POST/api/v1/model/generateVideo

Request Body

import requests

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

data = {
    "model": "kwaivgi/kling-effects",
    "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']}")

Response

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

Check Status

Poll the prediction endpoint to check the current status of your request.

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

Polling Example

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)

Status Values

processingThe request is still being processed.

completedGeneration is complete. Outputs are available.

succeededGeneration succeeded. Outputs are available.

failedGeneration failed. Check the error field.

Completed Response

{
  "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"
  }
}

Upload Files

Upload files to Atlas Cloud storage and get a URL you can use in your API requests. Use multipart/form-data to upload.

POST/api/v1/model/uploadMedia

Upload Example

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}")

Response

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

Input Schema

The following parameters are accepted in the request body.

Total: 3Required: 3Optional: 0

modelstringrequired

model name

Default: "kwaivgi/kling-effects"

effect_scenestringrequired

Effect scene

firework_2026glamour_photo_shootbox_of_joyfirst_toast_of_the_yearmy_santa_picsanta_giftsteampunk_christmassnowglobeornament_crashsanta_expressinstant_christmasparticle_santa_surroundcoronation_of_frostbuilding_sweaterspark_in_the_snowscarlet_and_snowcozy_toon_wrapbullet_time_litemagic_cloakballoon_paradejumping_ginger_joybullet_timec4d_cartoon_propure_white_wingsblack_wingsgolden_wingpink_pink_wingsvenomous_spiderthrone_of_kingluminous_elfwoodland_elfjapanese_anime_1american_comicsguardian_spiritswish_swishsnowboardingwitch_transformvampire_transformpumpkin_head_transformdemon_transformmummy_transformzombie_transformcute_pumpkin_transformcute_ghost_transformknock_knock_halloweenhalloween_escapebaseballinner_voicea_list_lookmemory_alivetrampolinetrampoline_nightpucker_upguess_whatfeed_mooncakerampage_apeflyerdishwasherpet_chinese_operagallery_ringmuscle_petsqueeze_screamrunning_mandisappearmythic_stylesteampunkc4d_cartoon3d_cartoon_13d_cartoon_2eagle_snatchhug_from_pastfireworkhugkissheart_gesturefightemojilet's_ridelet’s_ridesnatchedmagic_broomfelt_feltjumpdropcelebrationsplashsplashhulasurfsurffairy_wingangel_wingdark_wingskateskateplushcutjelly_pressjelly_slicejelly_squishjelly_jigglepixelpixelyearbookinstant_filmanime_figurerocketrocketbloombloomdizzydizzyfuzzyfuzzysquishexpansionsanta_giftssanta_huggirlfriendboyfriendboylfriendheart_gesture_1pet_wizardpet_lionsmoke_smokethumbs_uppet_chefpet_deliveryinstant_kiddollar_raincry_crybuilding_collapsegun_shotmushroomdouble_gunpet_warriorlightning_powerjesus_hugmagic_fireballshark_alertlong_hairlie_flatpolar_bear_hugbrown_bear_hugjazz_jazzoffice_escape_plowoffic_escape_plowfly_flywatermelon_bombpet_danceboss_comingwool_curlyiron_warriorpet_moto_riderpet_beemarry_meswing_swingday_to_nightpiggy_morphwig_outcar_explosionski_skitiger_hugsiblingsconstruction_workermedia_interview

imagestringrequired

Image URL or Base64 encoding, in the format of data:image/png;base64,...

Example Request Body

{
  "model": "kwaivgi/kling-effects",
  "effect_scene": "example_effect_scene",
  "image": "example_image"
}

Output Schema

The API returns a prediction response with the generated output URLs.

created_atstring

ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

idstring

Unique identifier for the prediction, the ID of the prediction to get.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated content (empty when status is not completed).

statusstring

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

Example Response

{
  "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 integrates 400+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.

Supported Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ supported clients

Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Setup API Key

Get your API key from the Atlas Cloud dashboard and set it as an environment variable.

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

Capabilities

Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.

Image GenerationGenerate images with models like Nano Banana 2, Z-Image, and more.

Video CreationCreate videos from text or images with Kling, Vidu, Veo, etc.

LLM ChatChat with Qwen, DeepSeek, and other large language models.

Media UploadUpload local files for image editing and image-to-video workflows.

Learn more

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server connects your IDE with 400+ AI models via the Model Context Protocol. Works with any MCP-compatible client.

Supported Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ supported clients

Install

npx -y atlascloud-mcp

Configuration

Add the following configuration to your IDE's MCP settings file.

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

Available Tools

atlas_generate_imageGenerate images from text prompts.

atlas_generate_videoCreate videos from text or images.

atlas_chatChat with large language models.

atlas_list_modelsBrowse 400+ available AI models.

atlas_quick_generateOne-step content creation with auto model selection.

atlas_upload_mediaUpload local files for API workflows.

Learn more

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "kwaivgi/kling-effects"
          },
          "effect_scene": {
            "description": "Effect scene",
            "enum": [
              "firework_2026",
              "glamour_photo_shoot",
              "box_of_joy",
              "first_toast_of_the_year",
              "my_santa_pic",
              "santa_gift",
              "steampunk_christmas",
              "snowglobe",
              "ornament_crash",
              "santa_express",
              "instant_christmas",
              "particle_santa_surround",
              "coronation_of_frost",
              "building_sweater",
              "spark_in_the_snow",
              "scarlet_and_snow",
              "cozy_toon_wrap",
              "bullet_time_lite",
              "magic_cloak",
              "balloon_parade",
              "jumping_ginger_joy",
              "bullet_time",
              "c4d_cartoon_pro",
              "pure_white_wings",
              "black_wings",
              "golden_wing",
              "pink_pink_wings",
              "venomous_spider",
              "throne_of_king",
              "luminous_elf",
              "woodland_elf",
              "japanese_anime_1",
              "american_comics",
              "guardian_spirit",
              "swish_swish",
              "snowboarding",
              "witch_transform",
              "vampire_transform",
              "pumpkin_head_transform",
              "demon_transform",
              "mummy_transform",
              "zombie_transform",
              "cute_pumpkin_transform",
              "cute_ghost_transform",
              "knock_knock_halloween",
              "halloween_escape",
              "baseball",
              "inner_voice",
              "a_list_look",
              "memory_alive",
              "trampoline",
              "trampoline_night",
              "pucker_up",
              "guess_what",
              "feed_mooncake",
              "rampage_ape",
              "flyer",
              "dishwasher",
              "pet_chinese_opera",
              "gallery_ring",
              "muscle_pet",
              "squeeze_scream",
              "running_man",
              "disappear",
              "mythic_style",
              "steampunk",
              "c4d_cartoon",
              "3d_cartoon_1",
              "3d_cartoon_2",
              "eagle_snatch",
              "hug_from_past",
              "firework",
              "hug",
              "kiss",
              "heart_gesture",
              "fight",
              "emoji",
              "let's_ride",
              "let’s_ride",
              "snatched",
              "magic_broom",
              "felt_felt",
              "jumpdrop",
              "celebration",
              "splashsplash",
              "hula",
              "surfsurf",
              "fairy_wing",
              "angel_wing",
              "dark_wing",
              "skateskate",
              "plushcut",
              "jelly_press",
              "jelly_slice",
              "jelly_squish",
              "jelly_jiggle",
              "pixelpixel",
              "yearbook",
              "instant_film",
              "anime_figure",
              "rocketrocket",
              "bloombloom",
              "dizzydizzy",
              "fuzzyfuzzy",
              "squish",
              "expansion",
              "santa_gifts",
              "santa_hug",
              "girlfriend",
              "boyfriend",
              "boylfriend",
              "heart_gesture_1",
              "pet_wizard",
              "pet_lion",
              "smoke_smoke",
              "thumbs_up",
              "pet_chef",
              "pet_delivery",
              "instant_kid",
              "dollar_rain",
              "cry_cry",
              "building_collapse",
              "gun_shot",
              "mushroom",
              "double_gun",
              "pet_warrior",
              "lightning_power",
              "jesus_hug",
              "magic_fireball",
              "shark_alert",
              "long_hair",
              "lie_flat",
              "polar_bear_hug",
              "brown_bear_hug",
              "jazz_jazz",
              "office_escape_plow",
              "offic_escape_plow",
              "fly_fly",
              "watermelon_bomb",
              "pet_dance",
              "boss_coming",
              "wool_curly",
              "iron_warrior",
              "pet_moto_rider",
              "pet_bee",
              "marry_me",
              "swing_swing",
              "day_to_night",
              "piggy_morph",
              "wig_out",
              "car_explosion",
              "ski_ski",
              "tiger_hug",
              "siblings",
              "construction_worker",
              "media_interview"
            ],
            "type": "string",
            "x-placeholder": "Select effect scene",
            "x-ui-component": "select-filter"
          },
          "image": {
            "description": "Image URL or Base64 encoding, in the format of data:image/png;base64,... ",
            "type": "string"
          }
        },
        "required": [
          "model",
          "effect_scene",
          "image"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "effect_scene",
          "image"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).",
            "format": "date-time",
            "type": "string"
          },
          "has_nsfw_contents": {
            "description": "Array of boolean values indicating NSFW detection for each output.",
            "items": {
              "type": "boolean"
            },
            "type": "array"
          },
          "id": {
            "description": "Unique identifier for the prediction, the ID of the prediction to get.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated content (empty when status is not completed).",
            "items": {
              "type": "string"
            },
            "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"
      }
    }
  },
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateVideo": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/result/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM-Friendly Prompt Template

# kwaivgi/kling-effects

> Adds post-processing and stylistic motion effects, expanding creative editing within Kling’s video suite.


## 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**: `kwaivgi/kling-effects`


## 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: `"kwaivgi/kling-effects"`

- **`effect_scene`** (`string`, _required_):
  Effect scene
  - Options: "firework_2026", "glamour_photo_shoot", "box_of_joy", "first_toast_of_the_year", "my_santa_pic", "santa_gift", "steampunk_christmas", "snowglobe", "ornament_crash", "santa_express", "instant_christmas", "particle_santa_surround", "coronation_of_frost", "building_sweater", "spark_in_the_snow", "scarlet_and_snow", "cozy_toon_wrap", "bullet_time_lite", "magic_cloak", "balloon_parade", "jumping_ginger_joy", "bullet_time", "c4d_cartoon_pro", "pure_white_wings", "black_wings", "golden_wing", "pink_pink_wings", "venomous_spider", "throne_of_king", "luminous_elf", "woodland_elf", "japanese_anime_1", "american_comics", "guardian_spirit", "swish_swish", "snowboarding", "witch_transform", "vampire_transform", "pumpkin_head_transform", "demon_transform", "mummy_transform", "zombie_transform", "cute_pumpkin_transform", "cute_ghost_transform", "knock_knock_halloween", "halloween_escape", "baseball", "inner_voice", "a_list_look", "memory_alive", "trampoline", "trampoline_night", "pucker_up", "guess_what", "feed_mooncake", "rampage_ape", "flyer", "dishwasher", "pet_chinese_opera", "gallery_ring", "muscle_pet", "squeeze_scream", "running_man", "disappear", "mythic_style", "steampunk", "c4d_cartoon", "3d_cartoon_1", "3d_cartoon_2", "eagle_snatch", "hug_from_past", "firework", "hug", "kiss", "heart_gesture", "fight", "emoji", "let's_ride", "let’s_ride", "snatched", "magic_broom", "felt_felt", "jumpdrop", "celebration", "splashsplash", "hula", "surfsurf", "fairy_wing", "angel_wing", "dark_wing", "skateskate", "plushcut", "jelly_press", "jelly_slice", "jelly_squish", "jelly_jiggle", "pixelpixel", "yearbook", "instant_film", "anime_figure", "rocketrocket", "bloombloom", "dizzydizzy", "fuzzyfuzzy", "squish", "expansion", "santa_gifts", "santa_hug", "girlfriend", "boyfriend", "boylfriend", "heart_gesture_1", "pet_wizard", "pet_lion", "smoke_smoke", "thumbs_up", "pet_chef", "pet_delivery", "instant_kid", "dollar_rain", "cry_cry", "building_collapse", "gun_shot", "mushroom", "double_gun", "pet_warrior", "lightning_power", "jesus_hug", "magic_fireball", "shark_alert", "long_hair", "lie_flat", "polar_bear_hug", "brown_bear_hug", "jazz_jazz", "office_escape_plow", "offic_escape_plow", "fly_fly", "watermelon_bomb", "pet_dance", "boss_coming", "wool_curly", "iron_warrior", "pet_moto_rider", "pet_bee", "marry_me", "swing_swing", "day_to_night", "piggy_morph", "wig_out", "car_explosion", "ski_ski", "tiger_hug", "siblings", "construction_worker", "media_interview"

- **`image`** (`string`, _required_):
  Image URL or Base64 encoding, in the format of data:image/png;base64,... 



**Required Parameters Example**:

```json
{
  "model": "kwaivgi/kling-effects",
  "effect_scene": "firework_2026",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "kwaivgi/kling-effects",
  "effect_scene": "firework_2026",
  "image": ""
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

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

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty 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
{
  "created_at": "",
  "has_nsfw_contents": [],
  "id": "",
  "model": "",
  "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": "kwaivgi/kling-effects",
  "effect_scene": "firework_2026",
  "image": ""
}'

# 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/kwaivgi/kling-effects)

Kling Effects

Kling effects is an AI-powered video generation model that creates stunning 5-second videos from a single image. It's perfect for creating engaging social media content, product showcases, and more. With its advanced technology, the model can generate a wide range of styles and effects, from futuristic and abstract to realistic and cinematic.

Kling Effects API by Kuaishou

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

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Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install

Setup API Key

Capabilities

MCP Server

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Configuration

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LLM-Friendly Prompt Template

Kling Effects

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One API for All Media AI.

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INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install