Hailuo 02 Pro
Imagem para Vídeo
PRO

Hailuo 02 Pro API by MiniMax

minimax/hailuo-02/pro
Pro

Hailuo 02 is a new AI video generation model from Hailuo AI.

Entrada

Carregando configuração de parâmetros...

Saída

Inativo
Os vídeos gerados serão exibidos aqui
Configure os parâmetros e clique em executar para começar a gerar

Cada execução custará $0.48. Com $10 você pode executar aproximadamente 20 vezes.

Você pode continuar com:

Parâmetros

Exemplo de código

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/pro",
    "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()

Instalar

Instale o pacote necessário para a sua linguagem de programação.

bash
pip install requests

Autenticação

Todas as solicitações de API requerem autenticação por meio de uma chave de API. Você pode obter sua chave de API no painel do Atlas Cloud.

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

Cabeçalhos HTTP

python
import os

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

Nunca exponha sua chave de API em código do lado do cliente ou repositórios públicos. Use variáveis de ambiente ou um proxy de backend.

Enviar uma solicitação

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())

Enviar uma solicitação

Envie uma solicitação de geração assíncrona. A API retorna um ID de predição que você pode usar para verificar o status e obter o resultado.

POST/api/v1/model/generateVideo

Corpo da solicitação

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/pro",
    "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']}")

Resposta

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

Verificar status

Consulte o endpoint de predição para verificar o status atual da sua solicitação.

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

Exemplo de polling

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)

Valores de status

processingA solicitação ainda está sendo processada.
completedA geração está completa. As saídas estão disponíveis.
succeededA geração foi bem-sucedida. As saídas estão disponíveis.
failedA geração falhou. Verifique o campo de erro.

Resposta concluída

{
  "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"
  }
}

Enviar arquivos

Envie arquivos para o armazenamento do Atlas Cloud e obtenha uma URL que pode ser usada nas suas solicitações de API. Use multipart/form-data para enviar.

POST/api/v1/model/uploadMedia

Exemplo de upload

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}")

Resposta

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

Schema de entrada

Os seguintes parâmetros são aceitos no corpo da solicitação.

Total: 0Obrigatório: 0Opcional: 0

Nenhum parâmetro disponível.

Exemplo de corpo da solicitação

json
{
  "model": "minimax/hailuo-02/pro"
}

Schema de saída

A API retorna uma resposta de predição com as URL de saída geradas.

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

Exemplo de resposta

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

O Atlas Cloud Skills integra mais de 300 modelos de IA diretamente no seu assistente de codificação com IA. Um comando para instalar e depois use linguagem natural para gerar imagens, vídeos e conversar com LLM.

Clientes compatíveis

Claude Code
OpenAI Codex
Gemini CLI
Cursor
Windsurf
VS Code
Trae
GitHub Copilot
Cline
Roo Code
Amp
Goose
Replit
40+ clientes compatíveis

Instalar

bash
npx skills add AtlasCloudAI/atlas-cloud-skills

Configurar chave de API

Obtenha sua chave de API no painel do Atlas Cloud e defina-a como variável de ambiente.

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

Funcionalidades

Após a instalação, você pode usar linguagem natural no seu assistente de IA para acessar todos os modelos do Atlas Cloud.

Geração de imagensGere imagens com modelos como Nano Banana 2, Z-Image e mais.
Criação de vídeosCrie vídeos a partir de texto ou imagens com Kling, Vidu, Veo, etc.
Chat com LLMConverse com Qwen, DeepSeek e outros modelos de linguagem de grande escala.
Upload de mídiaEnvie arquivos locais para fluxos de trabalho de edição de imagens e imagem para vídeo.

MCP Server

O Atlas Cloud MCP Server conecta seu IDE com mais de 300 modelos de IA através do Model Context Protocol. Funciona com qualquer cliente compatível com MCP.

Clientes compatíveis

Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ clientes compatíveis

Instalar

bash
npx -y atlascloud-mcp

Configuração

Adicione a seguinte configuração ao arquivo de configuração de MCP do seu IDE.

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

Ferramentas disponíveis

atlas_generate_imageGere imagens a partir de prompts de texto.
atlas_generate_videoCrie vídeos a partir de texto ou imagens.
atlas_chatConverse com modelos de linguagem de grande escala.
atlas_list_modelsExplore mais de 300 modelos de IA disponíveis.
atlas_quick_generateCriação de conteúdo em uma etapa com seleção automática de modelo.
atlas_upload_mediaEnvie arquivos locais para fluxos de trabalho de API.

API Schema

Schema não disponível

Faça login para ver o histórico de solicitações

Você precisa fazer login para acessar o histórico de solicitações do modelo.

Fazer Login

What Makes Hailuo 02 Outperform Other AI Video Generation Models?

1080P Native Output

Nobody wants blurry footage. Hailuo 02 gives you the full HD 1080P video straight from the model, not upscaled afterwards. This is a huge leap from the previously limited 720P. Your video will look sharp even on those big screens. Ads, explainers, shorts—it all matters if it looks clear. And Hailuo 02 can deliver that clarity with just a few clicks.

Multiple Duration Options

Flexibility means a lot with AI video generation, and Hailuo 02 offers clip format in both 6-second and 10-second formats. Creators can mix and match formats seamlessly, and the length of content becomes more controllable without impacting quality. It's a small detail but has a big impact on workflow. There’s no need to re-render full scenes when mocking up combinations—just generate and combine.

Enhanced Motion & Physical Effects

This model doesn’t merely understand movement—it completely owns it. Hailuo 02 is equipped with state-of-the-art motion rendering, allowing it to capture dynamic scenes and physical interactions more smoothly than most competitors. It adapts easily to prompts involving complex physics, such as flying debris, bouncing objects, or camera shakes. The result: videos that feel organic and cinematic.

Better Scene Transitions

Image-to-video models can sometimes produce awkward cuts or uneven frame stitching, but Hailuo 02 really smooths things out. Transitions between frames resemble real-world camera work more than simple machine stitching. The end result is closer to a movie trailer than a slideshow, especially for creators transforming still images into dynamic sequences.

Real-World Reliability

Hailuo 02 doesn’t just show strong benchmark performance—it delivers in real creative use cases. Users have reported consistent output when repeating the same prompts. This excellent consistency and low randomness is a major benefit for professionals who value repeatability, especially in team environments with high standards.

Lower Cost

AI tools tend to be powerful but pricey—Hailuo 02 is both powerful and affordable. Compared to premium tools like Veo 3 or closed systems like Sora, it offers incredible value. Designed for creators and startups, not just enterprises, it’s a great entry point for building professional-quality video content on a budget.


What Users Are Saying About Hailuo 02

"The physics are insane. I have to say that not every video came out perfect on the first try, but I still got great results really easily. The way cats jump is just… perfect."

"Truly impressed by how well it follows prompts. Even when I pushed the boundaries of imagination, it executed beautifully. Less distortion, stunning fast motion. Welcome back, king!"

"After many long waits, the return of Hailuo AI is here. With their latest model, 02. It packs a punch, with 1080p visuals, physics, prompt adherence strength, and cinematic capabilities. I present to you a compilation of my tests so far."

"With up to 1080p output and 10-second clips, this new model delivers accurate prompt adherence, dynamic motion, and some of the best physics understanding we’ve seen yet. It feels like a serious leap forward!"


Use Cases of Hailuo 02

  • Short-form social content

    Ideal for TikTok, Instagram Reels, or YouTube Shorts. Hailuo 02 provides cinematic visuals in just seconds.

  • Ad and product videos

    Create high-resolution, motion-rich videos that make products stand out—no full production team required.

  • Game and film prototyping

    Rapidly visualize characters, scenes, and trailers before full-scale production.

  • Educational and training videos

    Turn complex concepts into visually engaging animated sequences—perfect for teachers, course creators, and businesses.

  • AI-enhanced storytelling

    Animate still images into cinematic micro-scenes without any animation skills.

  • Presentation and pitch support

    Make your idea or product pitch unforgettable with custom AI-generated video sequences.


Tips for Using Hailuo 02

  • Use cinematic prompts

    Think like a director—describe angles, lighting, and scene dynamics to enhance visual richness.

  • Use motion-rich language

    Incorporate action verbs like "zoom in," "pan left," or "fly over" to drive dynamic camera effects.

  • Guide your video with a first frame

    Uploading a still image helps the model lock in composition, structure, and mood.

  • Start small, go big later

    Begin with 6-second clips to test ideas, then extend or merge for longer sequences.

  • Preview, tweak, repeat

    Don’t aim for perfection right away. Iterate quickly and refine results through multiple generations.


FAQs

Q1: Does Hailuo 02 support audio generation?

No—for now, it focuses purely on visuals. You can manually pair it with music, voiceovers, or sound effects for full creative control.

Q2: Can I use it for commercial projects?

Absolutely. Just ensure you review the licensing terms and platform policies if you intend to monetize your output.

Q3: How long does video generation take?

Typically, it takes 30 to 90 seconds for a 6-second or 10-second clip, depending on prompt complexity.

Q4: Is there a mobile version?

While there’s no dedicated app, most platforms supporting Hailuo 02 run smoothly on mobile browsers.

Mais de 300 Modelos, Comece Agora,

Explorar Todos os Modelos

Join our Discord community

Join the Discord community for the latest model updates, prompts, and support.