Videos

from together import Together

client = Together()

# Create a video generation job
job = client.videos.create(
    prompt="A serene sunset over the ocean with gentle waves",
    model="minimax/video-01-director",
    width=1366,
    height=768,
)

print(f"Job ID: {job.id}")

# Check status
status = client.videos.retrieve(job.id)
print(f"Status: {status.status}")

# When completed, access the video
if status.status == "completed":
    print(f"Video URL: {status.outputs.video_url}")

from together import Together

client = Together()

job = client.videos.create(
    prompt="A futuristic city at night with neon lights reflecting on wet streets",
    model="minimax/hailuo-02",
    width=1366,
    height=768,
    seconds=6,
    fps=30,
    steps=30,
    guidance_scale=8.0,
    output_format="MP4",
    output_quality=20,
    seed=42,
    negative_prompt="blurry, low quality, distorted"
)

print(f"Job ID: {job.id}")

# Check status and retrieve video when completed
status = client.videos.retrieve(job.id)
if status.status == "completed":
    print(f"Video URL: {status.outputs.video_url}")
    print(f"Cost: ${status.outputs.cost}")

from together import Together

client = Together()

job = client.videos.create(
    prompt="A cat dancing energetically",
    model="minimax/hailuo-02",
    width=1366,
    height=768,
    seconds=6,
    reference_images=[
        "https://cdn.pixabay.com/photo/2020/05/20/08/27/cat-5195431_1280.jpg",
    ]
)

import base64
import requests
from together import Together

client = Together()

# Download image and encode to base64
image_url = "https://cdn.pixabay.com/photo/2020/05/20/08/27/cat-5195431_1280.jpg"
response = requests.get(image_url)
base64_image = base64.b64encode(response.content).decode('utf-8')

# Single keyframe at start
job = client.videos.create(
    prompt="Smooth transition from day to night",
    model="minimax/hailuo-02",
    width=1366,
    height=768,
    fps=24,
    frame_images=[
        {
            "input_image": base64_image,
            "frame": 0  # Starting frame
        }
    ]
)

from together import Together

client = Together()

# Low guidance - more creative interpretation
job_creative = client.videos.create(
    prompt="an astronaut riding a horse on the moon",
    model="minimax/hailuo-02",
    guidance_scale=6.0,
    seed=100
)

# High guidance - closer to literal prompt
job_literal = client.videos.create(
    prompt="an astronaut riding a horse on the moon",
    model="minimax/hailuo-02",
    guidance_scale=10.0,
    seed=100
)

# Quick preview
from together import Together

client = Together()

job_quick = client.videos.create(
    prompt="A person walking through a forest",
    model="minimax/hailuo-02",
    steps=10
)

# Production quality
job_production = client.videos.create(
    prompt="A person walking through a forest",
    model="minimax/hailuo-02",
    steps=40
)