Hailuo 02 t2v Standard API by MiniMax
Hailuo 02 is a new AI video generation model from Hailuo AI.
输入
输出
空闲每次运行将花费 $0.23。$10 可运行约 43 次。
代码示例
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/t2v-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()安装
安装所需的依赖包。
pip install requests认证
所有 API 请求需要通过 API Key 进行认证。您可以在 Atlas Cloud 控制台获取 API Key。
export ATLASCLOUD_API_KEY="your-api-key-here"HTTP 请求头
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}切勿在客户端代码或公开仓库中暴露您的 API Key。请使用环境变量或后端代理。
提交请求
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())提交请求
提交一个异步生成请求。API 返回一个 prediction ID，您可以用它来检查状态和获取结果。
/api/v1/model/generateVideo请求体
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/t2v-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']}")响应
{
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}检查状态
轮询 prediction 端点以检查请求的当前状态。
/api/v1/model/prediction/{prediction_id}轮询示例
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)状态值
processing请求仍在处理中。completed生成完成，输出可用。succeeded生成成功，输出可用。failed生成失败，请检查 error 字段。完成响应
{
"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"
}
}上传文件
将文件上传到 Atlas Cloud 存储，获取可在 API 请求中使用的 URL。使用 multipart/form-data 上传。
/api/v1/model/uploadMedia上传示例
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}")响应
{
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}Input Schema
以下参数在请求体中被接受。
暂无可用参数。
请求体示例
{
"model": "minimax/hailuo-02/t2v-standard"
}Output Schema
API 返回包含生成输出 URL 的 prediction 响应。
响应示例
{
"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 将 300+ AI 模型直接集成到您的 AI 编程助手中。一条命令安装，即可用自然语言生成图像、视频和与 LLM 对话。
支持的客户端
安装
npx skills add AtlasCloudAI/atlas-cloud-skills设置 API Key
从 Atlas Cloud 控制台获取 API Key，并将其设置为环境变量。
export ATLASCLOUD_API_KEY="your-api-key-here"功能
安装后，您可以在 AI 助手中使用自然语言访问所有 Atlas Cloud 模型。
MCP Server
Atlas Cloud MCP Server 通过 Model Context Protocol 将您的 IDE 与 300+ AI 模型连接。支持任何兼容 MCP 的客户端。
支持的客户端
安装
npx -y atlascloud-mcp配置
将以下配置添加到您的 IDE 的 MCP 设置文件中。
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}可用工具
API Schema
Schema 不可用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.
