alibaba/wan-2.7-pro/text-to-image

Tekst-naar-Beeld

PRO

Wan 2.7 Pro Text-to-Image API by Alibaba

alibaba/wan-2.7-pro/text-to-image

Text-to-image

Generates images from text prompts with Wan 2.7 image pro, supporting higher fidelity outputs and 4K-ready workflows.

Invoer

Prompt *

Grootte

Aantal

Kleurenpalet

MIN: 3 / MAX: 10

Denkmodus

Seed

Uitvoer

Inactief

Uw gegenereerde afbeeldingen verschijnen hier

Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost $0.075. Voor $10 kunt u ongeveer 133 keer uitvoeren.

U kunt doorgaan met:

Beeld naar video Beeld naar beeld

Parameters

Codevoorbeeld
import requests
import time

# Step 1: Start image generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "alibaba/wan-2.7-pro/text-to-image",  # Required. Model name. options: alibaba/wan-2.7-pro/text-to-image
    "prompt": "A beautiful landscape with mountains and lake",  # Required. Text prompt used to generate the image
    "size": "2K",  # Output image resolution. options: 1K | 2K | 4K
    "n": 1,  # Number of images to generate. (min: 1, max: 4)
    "color_palette": [
        {
            "hex": "example_hex",
            "ratio": "example_ratio"
        }
    ],
    "thinking_mode": True,  # Whether to enable thinking mode for higher-quality image generation
    "seed": -1,  # Random seed for image generation. (min: -1, max: 2147483647)
    "enable_sync_mode": False,  # Whether to wait for generation to finish and return the final result directly in the response
    "enable_base64_output": False,  # Whether to return the generated image as a Base64 string instead of a URL
}

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"] == "completed":
            print("Generated image:", 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)

image_url = check_status()

Installeren

Installeer het vereiste pakket voor uw programmeertaal.

pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het 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}"
}

Bescherm uw API-sleutel

Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.

Een verzoek indienen

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
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())

Een verzoek indienen

Dien een asynchroon generatieverzoek in. De API retourneert een voorspellings-ID waarmee u de status kunt controleren en het resultaat kunt ophalen.

POST/api/v1/model/generateImage

Verzoekinhoud

import requests

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

data = {
    "model": "alibaba/wan-2.7-pro/text-to-image",
    "prompt": "A beautiful landscape with mountains and lake"
}

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

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

Antwoord

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

Status controleren

Bevraag het voorspellings-eindpunt om de huidige status van uw verzoek te controleren.

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

Polling-voorbeeld

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)

Statuswaarden

processingHet verzoek wordt nog verwerkt.

completedDe generatie is voltooid. Resultaten zijn beschikbaar.

succeededDe generatie is geslaagd. Resultaten zijn beschikbaar.

failedDe generatie is mislukt. Controleer het foutveld.

Voltooid antwoord

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.png"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Bestanden uploaden

Upload bestanden naar Atlas Cloud opslag en ontvang een URL die u kunt gebruiken in uw API-verzoeken. Gebruik multipart/form-data om te uploaden.

POST/api/v1/model/uploadMedia

Upload-voorbeeld

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}")

Antwoord

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

Invoer-Schema

De volgende parameters worden geaccepteerd in de verzoekinhoud.

Totaal: 9Vereist: 2Optioneel: 7

modelstringrequired

Model name.

Default: "alibaba/wan-2.7-pro/text-to-image"

alibaba/wan-2.7-pro/text-to-image

promptstringrequired

Text prompt used to generate the image. Maximum length is 5000 characters.

sizestring

Output image resolution.

Default: "2K"

1K2K4K

ninteger

Number of images to generate.

Default: 1Min: 1Max: 4

color_palettearray[object]

Min items: 3Max items: 10

hexstringrequired

ratiostringrequired

thinking_modeboolean

Whether to enable thinking mode for higher-quality image generation.

Default: true

seedinteger

Random seed for image generation. Range: 0 to 2147483647. Use -1 for a random seed.

Default: -1Min: -1Max: 2147483647

enable_sync_modeboolean

Whether to wait for generation to finish and return the final result directly in the response.

Default: false

enable_base64_outputboolean

Whether to return the generated image as a Base64 string instead of a URL.

Default: false

Voorbeeld verzoekinhoud

{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": "A beautiful landscape",
  "size": "2K",
  "n": 1,
  "thinking_mode": true,
  "seed": -1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}

Uitvoer-Schema

De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.

codeinteger

messagestring

dataunknown

Voorbeeldantwoord

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integreert meer dan 400 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.

Ondersteunde clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ ondersteunde clients

Installeren

npx skills add AtlasCloudAI/atlas-cloud-skills

API-sleutel instellen

Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.

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

Mogelijkheden

Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.

BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.

VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.

LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.

Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.

Meer informatie

github.com/AtlasCloudAI/atlas-cloud-skills

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 400 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.

Ondersteunde clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ ondersteunde clients

Installeren

npx -y atlascloud-mcp

Configuratie

Voeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.

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

Beschikbare tools

atlas_generate_imageGenereer afbeeldingen op basis van tekstprompts.

atlas_generate_videoMaak video's van tekst of afbeeldingen.

atlas_chatChat met grote taalmodellen.

atlas_list_modelsBlader door meer dan 300 beschikbare AI-modellen.

atlas_quick_generateContentcreatie in één stap met automatische modelselectie.

atlas_upload_mediaUpload lokale bestanden voor API-workflows.

Meer informatie

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateImage": {
      "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/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "alibaba/wan-2.7-pro/text-to-image",
            "enum": [
              "alibaba/wan-2.7-pro/text-to-image"
            ]
          },
          "prompt": {
            "description": "Text prompt used to generate the image. Maximum length is 5000 characters.",
            "type": "string"
          },
          "size": {
            "default": "2K",
            "description": "Output image resolution.",
            "enum": [
              "1K",
              "2K",
              "4K"
            ],
            "type": "string"
          },
          "n": {
            "default": 1,
            "minimum": 1,
            "maximum": 4,
            "description": "Number of images to generate.",
            "type": "integer"
          },
          "color_palette": {
            "type": "array",
            "minItems": 3,
            "maxItems": 10,
            "items": {
              "type": "object",
              "properties": {
                "hex": {
                  "type": "string",
                  "pattern": "^#[0-9A-Fa-f]{6}$"
                },
                "ratio": {
                  "type": "string",
                  "pattern": "^\\d+\\.\\d{2}%$"
                }
              },
              "required": [
                "hex",
                "ratio"
              ]
            }
          },
          "thinking_mode": {
            "default": true,
            "description": "Whether to enable thinking mode for higher-quality image generation.",
            "type": "boolean"
          },
          "seed": {
            "default": -1,
            "minimum": -1,
            "maximum": 2147483647,
            "description": "Random seed for image generation. Range: 0 to 2147483647. Use -1 for a random seed.",
            "type": "integer"
          },
          "enable_sync_mode": {
            "default": false,
            "description": "Whether to wait for generation to finish and return the final result directly in the response.",
            "disabled": true,
            "type": "boolean"
          },
          "enable_base64_output": {
            "default": false,
            "description": "Whether to return the generated image as a Base64 string instead of a URL.",
            "disabled": true,
            "type": "boolean"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "prompt",
          "size",
          "n",
          "color_palette",
          "thinking_mode",
          "seed",
          "enable_sync_mode",
          "enable_base64_output"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "code": {
            "type": "integer"
          },
          "message": {
            "type": "string"
          },
          "data": {
            "$ref": "#/components/schemas/PredictionData"
          }
        }
      },
      "PredictionData": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Unique ID of the generation task."
          },
          "model": {
            "type": "string",
            "description": "Model used for the generation."
          },
          "outputs": {
            "type": "array",
            "description": "Generated image results. Each item is an image URL, or a Base64 string when Base64 output is enabled.",
            "items": {
              "type": "string"
            }
          },
          "urls": {
            "type": "object",
            "properties": {
              "get": {
                "type": "string"
              }
            }
          },
          "has_nsfw_contents": {
            "type": "array",
            "items": {
              "type": "boolean"
            }
          },
          "status": {
            "type": "string",
            "description": "Current task status, such as created, processing, completed, unknown, or failed."
          },
          "created_at": {
            "type": "string",
            "format": "date-time"
          },
          "error": {
            "type": "string",
            "description": "Error message returned when the task fails."
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM-vriendelijke Promptsjabloon

# alibaba/wan-2.7-pro/text-to-image

> Generates images from text prompts with Wan 2.7 image pro, supporting higher fidelity outputs and 4K-ready workflows.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — 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**: `alibaba/wan-2.7-pro/text-to-image`


## 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: `"alibaba/wan-2.7-pro/text-to-image"`
  - Options: "alibaba/wan-2.7-pro/text-to-image"

- **`prompt`** (`string`, _required_):
  Text prompt used to generate the image. Maximum length is 5000 characters.

- **`size`** (`string`, _optional_):
  Output image resolution.
  - Default: `"2K"`
  - Options: "1K", "2K", "4K"

- **`n`** (`integer`, _optional_):
  Number of images to generate.
  - Default: `1`
  - Min: 1
  - Max: 4

- **`color_palette`** (`array[object]`, _optional_):
  - Min items: 3
  - Max items: 10
  - Item properties:
    - **`hex`** (`string`, _required_):

    - **`ratio`** (`string`, _required_):


- **`thinking_mode`** (`boolean`, _optional_):
  Whether to enable thinking mode for higher-quality image generation.
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  Random seed for image generation. Range: 0 to 2147483647. Use -1 for a random seed.
  - Default: `-1`
  - Min: -1
  - Max: 2147483647

- **`enable_sync_mode`** (`boolean`, _optional_):
  Whether to wait for generation to finish and return the final result directly in the response.
  - Default: `false`

- **`enable_base64_output`** (`boolean`, _optional_):
  Whether to return the generated image as a Base64 string instead of a URL.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": "",
  "size": "2K",
  "n": 1,
  "color_palette": [
    {
      "hex": "",
      "ratio": ""
    }
  ],
  "thinking_mode": true,
  "seed": -1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": "",
  "size": "2K",
  "n": 1,
  "color_palette": [
    {
      "hex": "",
      "ratio": ""
    }
  ],
  "thinking_mode": true,
  "seed": -1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}'

# 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/alibaba/wan-2.7-pro/text-to-image)

Geen voorbeelden beschikbaar

Laden...

Alibaba WAN 2.7 Pro Text-to-Image

Alibaba WAN 2.7 Pro Text-to-Image is the higher-fidelity Wan 2.7 text generation tier. Compared with the standard model, it is better suited to richer detail, cleaner composition, and larger-format output workflows.

What makes it stand out?

Higher fidelity output: Better suited for scenes with dense detail, stronger material rendering, and cleaner structure.
4K-ready text generation: Official Wan 2.7 image documentation allows 4K output for text-only generation on the Pro model.
Creative controls: Supports flexible sizing, grouped generation, and repeatable exploration with seed control.
Production-oriented route: Better fit for polished marketing, concept art, and premium visual generation workflows.

Designed For

Teams preparing campaign visuals and presentation-ready hero images.
Creators who need more detail and stronger composition than the standard model.
Product and brand teams targeting high-resolution image deliverables.
Creative teams and professionals who need a stronger premium-quality text-to-image model.

Recommended size guidance:

Use 4K only for pure text-to-image generation.
For ordinary workflows, 2K remains the safest default.

How to Use

Describe the desired scene with enough detail to benefit from the Pro tier.
Choose 2K for most work, or 4K when you need larger text-only output.
Use thinking mode when visual reasoning and composition quality matter most.
Review the outputs and select the version that best matches your creative goal.

Wan 2.7 Pro Text-to-Image API by Alibaba

Invoer

Uitvoer

Parameters

Codevoorbeeld

Installeren

Authenticatie

HTTP-headers

Een verzoek indienen

Een verzoek indienen

Verzoekinhoud

Antwoord

Status controleren

Polling-voorbeeld

Statuswaarden

Voltooid antwoord

Bestanden uploaden

Upload-voorbeeld

Antwoord

Invoer-Schema

Voorbeeld verzoekinhoud

Uitvoer-Schema

Voorbeeldantwoord

Atlas Cloud Skills

Ondersteunde clients

Installeren

API-sleutel instellen

Mogelijkheden

MCP-server

Ondersteunde clients

Installeren

Configuratie

Beschikbare tools

API Schema

LLM-vriendelijke Promptsjabloon

Alibaba WAN 2.7 Pro Text-to-Image

What makes it stand out?

Designed For

How to Use

Ontdek Vergelijkbare Modellen

Wan-2.7 Pro Image-to-image

Wan-2.7 Image-to-image

Wan-2.7 Text-to-image

Qwen Image 2.0 Pro Text-to-image

Qwen Image 2.0 Text-to-image

Qwen Image 2.0 Edit

Qwen Image 2.0 Pro Edit

Qwen-Image Edit Plus 20251215

Wan-2.6 Image-to-image

Qwen Image Edit

Qwen-Image Text-to-image Max

Qwen-Image Text-to-image Plus

Wan-2.5 Image Edit

Wan-2.5 Text-to-image

Qwen-Image Edit Plus

Qwen-Image Edit

Eén API voor alle media-AI.

Join our Discord community

Invoer

Uitvoer

Parameters

Codevoorbeeld

Installeren

Authenticatie

HTTP-headers

Een verzoek indienen

Een verzoek indienen

Verzoekinhoud

Antwoord

Status controleren

Polling-voorbeeld

Statuswaarden

Voltooid antwoord

Bestanden uploaden

Upload-voorbeeld

Antwoord

Invoer-Schema

Voorbeeld verzoekinhoud

Uitvoer-Schema

Voorbeeldantwoord