I2VGen XL takes a still image and a short text prompt, then generates a smooth video clip showing the motion you described. It solves a real problem for creators who have visuals they want to animate but no access to video production tools or 3D software. Using a cascaded diffusion process, the model produces up to 16 frames of fluid animation while keeping the visual identity of your original image intact. You can adjust the guidance scale to control how closely the output follows your text prompt, and tune the number of denoising steps to balance speed against output quality. The result is a short video clip ready to download and use. The model fits naturally into workflows where you already have still images and need motion. Drop in a product photo and describe a slow camera pull, or feed it a portrait and describe subtle head movement. Run it directly in the browser and get results in minutes.
I2VGen XL is an image-to-video model that turns a still photo or illustration into a short, fluid video clip based on a text description you provide. On Picasso IA, the whole process runs in a browser tab: upload your image, describe the motion, adjust a few optional settings, and submit. It is built for creators, marketers, and content teams who need animated visuals from existing still images without a video studio or 3D software. The model preserves the visual style and composition of your original image while introducing the motion you described, producing a result that looks like a natural extension of the original rather than a generated artifact. Whether you are working with product photography, concept art, or a personal portrait, I2VGen XL gives you motion without production overhead.
Do I need programming skills or technical knowledge to use this? No, just open I2VGen XL on Picasso IA, adjust the settings you want, and hit generate. The interface uses sliders and text fields, no code or command line required.
Is it free to try? You can run I2VGen XL on Picasso IA without any upfront payment. Check the current credit details on the model page to see how many generations are available and whether a paid plan gives you additional runs.
How long does it take to get results? Generation time depends on how many frames and denoising steps you select. A standard 16-frame clip at 50 denoising steps typically finishes in under two minutes, though it can vary based on server load at the time you run it.
What output formats are supported? The model returns a downloadable video file. The specific format is displayed in the results panel once the video is ready, and you can save it directly to your device from there.
Can I customize the output quality or style? Yes. Raising the guidance scale makes the animation follow your text prompt more strictly. Increasing the denoising steps adds sharpness and detail to each frame. You can also change the seed to get a different variation on the same input.
What kind of images work best with I2VGen XL? Clear, well-composed images with a defined subject tend to animate most predictably. Portraits, product shots, and landscape scenes with an obvious focal point generally produce more controlled motion than highly abstract or cluttered compositions.
What happens if I'm not happy with the result? Rewrite the prompt to be more specific about the motion, adjust the guidance scale, or try a different seed value and run again. Each generation is independent, so you can iterate without any penalty until the clip matches what you had in mind.
Everything this model can do for you
Converts any still image into a multi-frame video clip using a text-guided diffusion process.
Describe the motion in plain language and the model animates your image accordingly.
Set the number of output frames up to 16 to control the length and pacing of the clip.
Raise or lower the guidance scale to balance how closely the video follows your prompt versus the original image.
Increase inference steps for sharper, more detailed output or reduce them for faster generation.
Lock a seed value to reproduce the same animation result across separate runs.
Run the model directly on Picasso IA without installing software or writing any code.
Works with any input image
A dog in a suit and tie faces the camera
Chinese ink painting, two boats and two coconut trees by the sea
A red woodcut bird
A green frog floats on the surface of the water on green lotus leaves, with several pink lotus flowers, in a Chinese painting style.
Papers were floating in the air on a table in the library
a painting of a city street with a giant monster
a girl standing in a field of wheat under a storm cloud
A bustling space habitat
A girl with yellow hair and black clothes stood in front of the camera
A blonde girl in jeans
Several statues made of porcelain chunks and gold mendings, the face of the statues have lips and eyes, the eyes are blinking, the lips are opening like the statues are talking, the head of the statues are turning towards the camera
