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ali-vilab/i2vgen-xl
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RESEARCH/NON-COMMERCIAL USE ONLY: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Capabilities
Reference Images
Seed
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
image * | string (uri) | Input image. | — | — |
prompt * | string | Describe the input image. | — | — |
guidance_scale | number | Scale for classifier-free guidance | 9 | min: 1, max: 20 |
max_frames | integer | Number of frames in the output | 16 | min: 2 |
num_inference_steps | integer | Number of denoising steps | 50 | min: 1, max: 500 |
seed | integer | Random seed. Leave blank to randomize the seed | — | — |
image required string Input image.
prompt required string Describe the input image.
guidance_scale number Scale for classifier-free guidance
Default:
9 min: 1, max: 20 max_frames integer Number of frames in the output
Default:
16 min: 2 num_inference_steps integer Number of denoising steps
Default:
50 min: 1, max: 500 seed integer Random seed. Leave blank to randomize the seed
Version:
5821a338d000 Updated: 2/26/2026 128.3K runs