Generate Realistic AI Videos with Hunyuan Video

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Overview

Hunyuan Video converts written scene descriptions into video clips with consistent motion and solid visual quality. Where traditional video production requires cameras, actors, or weeks of editing, this model takes a text prompt and returns a rendered clip in a matter of minutes. It runs directly on Picasso IA, so there is nothing to download and no prior video production experience needed. The model works through a denoising process that constructs each frame from your description, producing motion that follows the logic of the scene you wrote.

How It Works

Write a plain-text prompt describing the scene, subject, and motion you want, for example "a red fox trotting through a snowy forest at dusk"
Set the resolution by entering a width and height in pixels, both divisible by 16 (default is 864x480)
Choose the number of frames to control how long the clip runs; 129 frames at 24fps gives roughly 5 seconds of video
Adjust the inference steps to balance speed against sharpness; 50 steps is the default, lower values produce drafts faster
Review the output and reuse the same seed value to iterate from the same starting point with adjusted settings

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Hunyuan Video on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes. You can run Hunyuan Video without committing to a paid plan. A free tier lets you test settings and see results before deciding anything.

How long does it take to get results? At the default 50 inference steps and 864x480 resolution, generation typically takes between 3 and 10 minutes. Cutting inference steps roughly halves the processing time, at a cost to output detail.

What output formats are supported? The model produces a standard video file you can download and drop into any editor, slide deck, or social post.

Can I customize the output quality or style? Yes. Raise the inference steps for finer detail, adjust the guidance scale to keep the output closer to your prompt, or enter a fixed seed to reproduce a specific result and build on it.

How many times can I run the model? There is no hard cap on runs. You can iterate as many times as you want, refining the prompt and settings between each attempt.

Where can I use the outputs? The videos you generate belong to you. Use them in social media posts, client presentations, product demos, or any personal project.

Credit Cost

Each generation consumes 25 credits

25 credits

or 125 credits for 5 generations

Features

Everything this model can do for you

Text-to-video generation

Type a description and receive a fully rendered video clip with fluid motion.

Adjustable frame rate

Set the output fps to control how smooth the final video plays back.

Custom resolution

Choose the width and height in pixels to match your target format or platform.

Variable clip length

Specify the exact number of frames to control how long the video runs.

Denoising step control

Increase inference steps for sharper detail or reduce them for faster drafts.

Seed-based reproducibility

Reuse the same seed to get the same output frame-by-frame across runs.

No watermarks

Download the video file clean, ready to drop into any project.

Use Cases

Write a short scene description and get back a 5-second video clip showing realistic character or object motion

Generate background footage for a presentation or social media post from a single text prompt

Test a concept for a film or ad by converting your script notes into a rough video draft

Produce short animated product demos by describing the product and the motion you want to see

Create nature or landscape video clips from descriptive text for use in mood boards or pitches

Draft a short video ad concept for a client by typing the scene details instead of organizing a real shoot

Render abstract or surreal visual sequences from imaginative text descriptions that would be impossible to film

Examples

864x480

24 FPS

2m 57s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

A cat walks on the grass, realistic style

864x480

24 FPS

2m 2s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

Close-up, A little girl wearing a red hoodie in winter strikes a match. The sky is dark, there is a layer of snow on the ground, and it is still snowing lightly. The flame of the match flickers, illuminating the girl's face intermittently.

864x480

24 FPS

4m 1s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

a stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about.

864x480

24 FPS

2m 3s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

The panning camera moves forward slowly, with a depth of field in the middle focus, and warm sunset light covers the screen. The woman in the picture runs with her skirt fluttering, turns and jumps

864x480

24 FPS

2m 3s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

A close-up of a wave crashing against the beach, the sea foam spells out “WAKE UP” on the sand

864x480

24 FPS

2m 13s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

At sunset the modified Ford F-150 Raptor roared past on the off-road track. The raised suspension allowed the huge explosion-proof tires to flip freely on the mud, and the mud splashed on the roll cage

864x480

24 FPS

2m 3s

Infer Steps: 50

Video Length: 129

Embedded Guidance Scale: 6

Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail.