alibaba/wan-2.5/text-to-image

Generate AI images with Alibaba WAN 2.5 text-to-image model.

TEXT-TO-IMAGEHOTNEW
Wan-2.5 Text-to-image
Tekst-naar-Beeld

Generate AI images with Alibaba WAN 2.5 text-to-image model.

Invoer

Parameterconfiguratie laden...

Uitvoer

Inactief
Uw gegenereerde afbeeldingen verschijnen hier
Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost 0.021. Voor $10 kunt u ongeveer 476 keer uitvoeren.

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-2.5/text-to-image",
    "prompt": "A beautiful landscape with mountains and lake",
    "width": 512,
    "height": 512,
    "steps": 20,
    "guidance_scale": 7.5,
}

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.

bash
pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.

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

HTTP-headers

python
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-2.5/text-to-image",
    "input": {
        "prompt": "A beautiful landscape with mountains and lake"
    }
}

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

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

Antwoord

{
  "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: 0Vereist: 0Optioneel: 0

Geen parameters beschikbaar.

Voorbeeld verzoekinhoud

json
{
  "model": "alibaba/wan-2.5/text-to-image"
}

Uitvoer-Schema

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

idstringrequired
Unique identifier for the prediction.
statusstringrequired
Current status of the prediction.
processingcompletedsucceededfailed
modelstringrequired
The model used for generation.
outputsarray[string]
Array of output URLs. Available when status is "completed".
errorstring
Error message if status is "failed".
metricsobject
Performance metrics.
predict_timenumber
Time taken for image generation in seconds.
created_atstringrequired
ISO 8601 timestamp when the prediction was created.
Format: date-time
completed_atstring
ISO 8601 timestamp when the prediction was completed.
Format: date-time

Voorbeeldantwoord

json
{
  "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 300 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

bash
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.

bash
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.

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 300 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

bash
npx -y atlascloud-mcp

Configuratie

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

json
{
  "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.

API Schema

Schema niet beschikbaar

Inloggen om aanvraaggeschiedenis te bekijken

U moet ingelogd zijn om toegang te krijgen tot uw modelaanvraaggeschiedenis.

Inloggen

Seedance 1.5 Pro

NATIVE AUDIO-VISUELE GENERATIE

Geluid en Beeld, Alles in Één Opname

ByteDance's revolutionaire AI-model dat perfect gesynchroniseerde audio en video simultaan genereert vanuit één uniform proces. Ervaar echte native audio-visuele generatie met millisecondennauwkeurige lipsynchronisatie in meer dan 8 talen.

Why Choose Wan 2.5?

More Affordable

Despite Google's recent price cuts, Veo 3 remains expensive overall. Wan 2.5 is lightweight and cost-effective, providing creators with more options while significantly reducing production costs.

One-Step Generation, End-to-End Sync

With Wan 2.5, no separate voice recording or manual lip alignment is needed. Just provide a clear, structured prompt to generate complete videos with audio/voiceover and lip sync in one go - faster and simpler.

Multilingual Friendly

When prompts are in Chinese, Wan 2.5 reliably generates A/V synchronized videos. In contrast, Veo 3 often displays "unknown language" for Chinese prompts.

Precise Character Recreation

Wan 2.5 excels at character trait restoration, accurately presenting character appearance, expressions, and movement styles, making generated video characters more recognizable and personalized for enhanced storytelling and immersion.

Artistic Style Rendering

Supports Studio Ghibli-style rendering, creating hand-painted watercolor textures and animation effects. Brings warm, dreamy visual experiences that enhance artistic appeal and storytelling depth.

Who Can Benefit?

Marketing Teams

Whether it's product launches, promotional campaigns, or brand marketing, Wan 2.5 helps you quickly generate high-quality videos, making creation easy and efficient.

  • Product demos and tutorials without coordination headaches
  • Social media marketing with multilingual subtitles and lip sync
  • AI-generated content lets teams focus on strategy and creativity
Bottom line: Bottom line: Creation has never been so simple, fast, and smart - Wan 2.5 is your secret weapon for marketing!

Global Enterprises

Provides ideal content localization solutions for multinational companies, making creation easier and more efficient.

  • Multilingual video support with prompt recognition
  • One-click generation of lip-synced subtitles and voiceovers
  • Fast content localization for global markets
Bottom line: Bottom line: Cross-border content creation has never been so simple, fast, and smart.

Story Creators / YouTubers

Creators can leverage Wan 2.5 to improve video production efficiency while ensuring high-quality output.

  • Immersive storytelling with precise character actions and expressions
  • Higher publishing efficiency with reduced editing and post-production time
  • Diverse content from short videos to animated story segments

Corporate Training Teams

Wan 2.5 makes corporate training more efficient and engaging.

  • Professional videos replace boring text documents
  • Quick creation of operational demos and training tutorials
  • Consistent style and standardized output for global rollout

Creative Freelancers / Small Studios

Wan 2.5 lets creativity flow without expensive equipment or actors - AI generates everything efficiently.

  • Experiment with diverse works from short films to social media content
  • From inspiration to completion with "one-click generation"
  • High-quality content without expensive equipment or professional actors
Bottom line: Bottom line: Wan 2.5 makes creation easier, freer, and more exciting with every attempt!

Educational Institutions / Online Course Creators

Transform creativity into reality without high costs - Wan 2.5 makes quality content production easy and economical.

  • Experiment with various styles from short films to promotional videos
  • Higher production efficiency from concept to finished product
  • Quality content without expensive equipment or professional talent
Bottom line: Bottom line: Wan 2.5 makes creation effortless, efficient, and free - every attempt is spectacular!

Core Features

One-Step A/V Generation

Generate complete videos with synchronized audio, voiceover, and lip-sync in a single process

Dual Character Sync

Supports simultaneous generation of two characters with synchronized actions, expressions, and lip-sync for natural interactions

Professional Quality

High-quality video output with realistic character expressions and precise lip synchronization

Multilingual Support

Excellent support for Chinese prompts and reliable generation of multilingual content

Cost Effective

Significantly lower costs compared to competitors while maintaining professional quality

Character Trait Restoration

Precisely recreates character appearance, expressions, and movement styles with high fidelity and personality

Artistic Style Rendering

Supports various artistic styles including Studio Ghibli-inspired hand-painted watercolor textures

Immersive Scenes

Perfect for dialogue scenes, interviews, or dual-person short films with natural audio-visual consistency

Wan 2.5 Prompt Showcase

Discover the power of Wan 2.5 through these curated examples. From digital human lip-sync to dual character scenes, artistic rendering to character restoration - experience the possibilities.

Digital Human Sync

Study Room Scholar

Middle-aged man reading with perfect lip-sync in a warm study environment
Lip-sync with audioEnvironmental soundsCharacter emotion
Prompt

A middle-aged man sitting at a wooden desk in a cozy study room, surrounded by bookshelves and a warm lamp glow. He opens an old book and reads aloud with a calm, deep voice: 'History teaches us more than just facts… it shows us who we are.' The room has subtle background sounds: pages turning, the faint ticking of a clock, and distant rain against the window.

Dual Character Scene

Park Sunset Romance

Couple interaction with synchronized dual character actions and expressions
Dual character syncNatural interactionAmbient soundscape
Prompt

A young couple sitting on a park bench during sunset. The woman leans her head on the man's shoulder. He whispers softly: 'No matter where we go, I'll always be here with you.' The sound includes the rustling of leaves, distant laughter of children playing, and the gentle hum of cicadas in the evening air.

Character Restoration

Ballet Performance Art

Precise character trait restoration with artistic movement and expression
Character trait restorationMovement precisionArtistic lighting
Prompt

A graceful ballerina with her hair in a messy bun, performing a powerful and emotional contemporary ballet routine. She is in a minimalist, dark art studio. Abstract patterns of light and shadow, projected from a hidden source, dance across her body and the surrounding walls, constantly shifting with her movements. The camera focuses on the tension in her muscles and the expressive gestures of her hands. A single, dramatic slow-motion shot captures her mid-air leap, with the light patterns swirling around her like a galaxy. Moody, artistic, high contrast.

Artistic Style Rendering

Ghibli Forest Magic

Studio Ghibli-inspired animation with hand-painted watercolor texture
Ghibli art styleHand-painted textureMagical atmosphere
Prompt

Studio Ghibli-inspired anime style. A young girl with a straw hat lies peacefully in a sun-dappled magical forest, surrounded by friendly, glowing forest spirits (Kodama). A gentle breeze rustles the leaves of the giant, ancient trees. The air is filled with sparkling dust motes, illuminated by shafts of sunlight. The art style is soft, with a hand-painted watercolor texture. The scene feels serene, magical, and heartwarming.

Perfect Voor

🎬
Video Production
📢
Marketing Content
🎓
Educational Videos
📱
Social Media
🌐
Multilingual Content
💼
Corporate Training
🎭
Entertainment
💃
Performance Art
🎨
Animation & Anime
📚
Storytelling
👥
Dual Character Videos
🎙️
Interviews
📺
Broadcast Media

Technische Specificaties

Model Type:Audio-Visual Synchronized Generation
Key Features:A/V sync, Character restoration, Artistic rendering, Multi-language
Language Support:Chinese, English, and more
Output Quality:Professional HD video with audio
Generation Speed:Fast one-step generation
API Integration:RESTful API with comprehensive documentation

Ervaar Native Audio-Visuele Generatie

Sluit u aan bij filmmakers, adverteerders en creators wereldwijd die videocontent creatie revolutioneren met de baanbrekende technologie van Seedance 1.5 Pro.

🎬One-Step A/V Sync
🌍Multilingual Support
Cost Effective

Alibaba WAN 2.5 Text-to-Image Model

Alibaba WAN 2.5 is a high-quality text-to-image model provided by Alibaba Cloud's DashScope platform.

Begin met 300+ Modellen,

Verken alle modellen