Hunyuan Video takes a text description and converts it into a video clip with realistic motion and consistent visual quality. For creators who need video content but have no footage to work with, the model removes the biggest barrier: production itself. Type what you want to see, set a few basic parameters, and the output arrives as a downloadable file ready to use. The model supports custom frame rates, with a default of 24fps for smooth playback. Resolution is fully adjustable, and the number of frames you request controls the clip length, so a 129-frame output at 24fps gives you roughly five seconds of video. Inference steps let you tune the trade-off between generation time and output sharpness, with 50 steps as a sensible starting point. Whether you are mocking up a concept for a client, building background footage for a deck, or experimenting with visual ideas, Hunyuan Video fits into the process without extra software or a complicated setup. Adjust the resolution, tweak the prompt, and regenerate until the result matches what you had in mind.
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.
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.
Everything this model can do for you
Type a description and receive a fully rendered video clip with fluid motion.
Set the output fps to control how smooth the final video plays back.
Choose the width and height in pixels to match your target format or platform.
Specify the exact number of frames to control how long the video runs.
Increase inference steps for sharper detail or reduce them for faster drafts.
Reuse the same seed to get the same output frame-by-frame across runs.
Download the video file clean, ready to drop into any project.
A cat walks on the grass, realistic style
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.
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.
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
A close-up of a wave crashing against the beach, the sea foam spells out “WAKE UP” on the sand
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
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.
