Hunyuan Video

Generate high-quality videos with Tencent's open-source Hunyuan Video.

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Renting on CLORE.AI

  1. Filter by GPU type, VRAM, and price

  2. Choose On-Demand (fixed rate) or Spot (bid price)

  3. Configure your order:

    • Select Docker image

    • Set ports (TCP for SSH, HTTP for web UIs)

    • Add environment variables if needed

    • Enter startup command

  4. Select payment: CLORE, BTC, or USDT/USDC

  5. Create order and wait for deployment

Access Your Server

  • Find connection details in My Orders

  • Web interfaces: Use the HTTP port URL

  • SSH: ssh -p <port> root@<proxy-address>

What is Hunyuan Video?

Hunyuan Video from Tencent offers:

  • High-quality text-to-video generation

  • 5+ second video clips

  • 720p resolution

  • Open-source and commercially usable

Resources

Component
Minimum
Recommended
Optimal

GPU

RTX 4090 24GB

A100 40GB

A100 80GB

VRAM

24GB

40GB

80GB

CPU

8 cores

16 cores

32 cores

RAM

32GB

64GB

128GB

Storage

100GB NVMe

200GB NVMe

500GB NVMe

Internet

500 Mbps

1 Gbps

1 Gbps

Quick Deploy on CLORE.AI

Docker Image:

Ports:

Command:

Accessing Your Service

After deployment, find your http_pub URL in My Orders:

  1. Go to My Orders page

  2. Click on your order

  3. Find the http_pub URL (e.g., abc123.clorecloud.net)

Use https://YOUR_HTTP_PUB_URL instead of localhost in examples below.

Installation

What You Can Create

Marketing Content

  • Product showcase videos

  • Social media clips

  • Promotional animations

Creative Projects

  • Music video concepts

  • Short film prototypes

  • Art installations

Education & Training

  • Explainer video drafts

  • Training material concepts

  • Visualization of concepts

Basic Usage

Advanced Generation

Prompt Examples

Nature & Landscapes

Sci-Fi & Fantasy

Abstract & Artistic

Batch Generation

Gradio Interface

Performance

Resolution
Frames
GPU
Time

544x960

45

RTX 4090

~5 min

544x960

45

A100 40GB

~3 min

544x960

45

A100 80GB

~2 min

720x1280

45

A100 80GB

~4 min

Common Problems & Solutions

Out of Memory

Problem: CUDA out of memory on 24GB GPU

Solutions:

Slow Generation

Problem: Takes too long to generate

Solutions:

  • Reduce num_inference_steps (30-40 still gives good results)

  • Reduce num_frames (24 frames = 1.6s at 15fps)

  • Use A100 GPU for faster processing

  • Ensure you have NVMe storage for model loading

Poor Video Quality

Problem: Blurry or inconsistent motion

Solutions:

  • Increase num_inference_steps to 75-100

  • Adjust guidance_scale (6-8 works best)

  • Write more detailed prompts

  • Add negative prompts to avoid issues

Video Artifacts

Problem: Flickering or temporal inconsistencies

Solutions:

  • Use consistent seed for reproducibility

  • Avoid prompts with rapid motion

  • Post-process with video stabilization

Troubleshooting

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  • Hunyuan requires 24GB+ VRAM minimum

  • Use A100 40GB/80GB for best results

  • Reduce video length/resolution

Video generation fails

  • Check all model files downloaded correctly

  • Ensure enough disk space (100GB+)

  • Verify CUDA and PyTorch compatibility

Poor video quality

  • Increase inference steps

  • Use more descriptive prompts

  • Check input resolution matches expected

Slow generation

  • Video generation is compute-intensive

  • Use A100/H100 for faster results

  • Consider shorter clips first

Cost Estimate

Typical CLORE.AI marketplace rates (as of 2024):

GPU
Hourly Rate
Daily Rate
4-Hour Session

RTX 3060

~$0.03

~$0.70

~$0.12

RTX 3090

~$0.06

~$1.50

~$0.25

RTX 4090

~$0.10

~$2.30

~$0.40

A100 40GB

~$0.17

~$4.00

~$0.70

A100 80GB

~$0.25

~$6.00

~$1.00

Prices vary by provider and demand. Check CLORE.AI Marketplacearrow-up-right for current rates.

Save money:

  • Use Spot market for flexible workloads (often 30-50% cheaper)

  • Pay with CLORE tokens

  • Compare prices across different providers

Next Steps

  • CogVideoX - Alternative T2V

  • Wan2.1 Video - Another T2V option

  • AnimateDiff - Image animation

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