minimax/hailuo-02/standard

Beeld-naar-Video

Hailuo 02 Standard API by MiniMax

minimax/hailuo-02/standard

Standard

Hailuo 02 Standard - MiniMax's next-generation AI video model with 2.5x efficiency improvement, 85% complex instruction response rate, and industry-leading cost-effectiveness for generating high-quality videos.

Invoer

Parameterconfiguratie laden...

Uitvoer

Inactief

Uw gegenereerde video's verschijnen hier

Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost $0.23. Voor $10 kunt u ongeveer 43 keer uitvoeren.

U kunt doorgaan met:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameters

Codevoorbeeld
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": "minimax/hailuo-02/standard",
    "prompt": "A beautiful sunset over the ocean with gentle waves",
    "width": 512,
    "height": 512,
    "duration": 3,
    "fps": 24,
}

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()

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/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())

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/generateVideo

Verzoekinhoud

import requests

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

data = {
    "model": "minimax/hailuo-02/standard",
    "input": {
        "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['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.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "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": "minimax/hailuo-02/standard"
}

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 video 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.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 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.

Meer informatie

github.com/AtlasCloudAI/atlas-cloud-skills

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.

Meer informatie

github.com/AtlasCloudAI/mcp-server

API Schema

Schema niet beschikbaar

Inloggen om aanvraaggeschiedenis te bekijken

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

Inloggen

Hailuo 02 Standard - Professional AI Video Model

Hailuo 02 Standard is MiniMax's professional-grade AI video generation model, representing a significant upgrade from Hailuo 01. Currently ranked #2 globally in both image-to-video and text-to-video benchmarks, surpassing Kuaishou's Kling and Google's Veo3, second only to ByteDance's recently released Seedance 1.0.

Model Highlights

Industry-Leading Performance

2.5x Efficiency Boost: Both training and inference efficiency improved by 250%
3x Model Parameters: Significantly enhanced model capacity
4x Training Data: Massive dataset expansion for superior quality
85% Complex Instruction Response Rate: Exceptional understanding of intricate prompts

Architectural Innovation

Hailuo 02 Standard features a completely redesigned DiT (Diffusion Transformer) architecture, abandoning the previous framework for a more efficient and powerful system that delivers:

Enhanced temporal consistency
Superior motion dynamics
Exceptional physical realism

Professional Quality

25 FPS Smooth Output: Cinema-grade frame rate
Professional Color Grading: Enhanced color accuracy and depth

Key Features

Advanced Capabilities

Extreme Physics Simulation: Generates complex physical scenarios like acrobatics, fluid dynamics, and intricate movements
Cinematic Camera Control: Professional camera movements including panning, tilting, tracking, and complex trajectories
Multi-Style Support: From photorealistic to artistic, anime to documentary styles
Consistent Character Generation: Maintains character appearance throughout the video

Application Scenarios

Film & Television Production

Rapidly generate complex VFX shots, including acrobatics, fantasy scenes, and challenging physical performances, dramatically reducing production costs and time.

Advertising & Creative

Provide brands with cost-effective, high-quality video content that meets diverse creative requirements while maintaining professional standards.

Content Creation

Empower creators and influencers to produce engaging video content efficiently, enhancing productivity without compromising quality.

Educational Entertainment

Generate educational animations, virtual performances, and engaging content that combines learning with entertainment value.

Corporate Communications

Offer SMEs affordable promotional videos that elevate brand image and market competitiveness without breaking the budget.

Technical Specifications

Video Duration: 6 seconds (with plans for extended duration)
Frame Rate: 25 fps
Supported Formats: MP4, MOV
Input Types: Text prompts, reference images
Processing Time: Optimized for rapid generation

Usage Guidelines

Best Practices

Detailed Prompts: Leverage the 85% complex instruction response rate with comprehensive descriptions
High-Quality References: Use clear, high-resolution images for image-to-video generation
Style Consistency: Specify desired artistic style for coherent results
Physics Descriptions: Take advantage of advanced physics capabilities with specific motion descriptions