lucataco/wan-2.1-1.3b-vid2vid
Wan 2.1 1.3b Video to Video. Wan is a powerful visual generation model developed by Tongyi Lab of Alibaba Group
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
prompt * | string | Text prompt describing what you want to generate or modify | — | — |
aspect_ratio | string | Aspect ratio for the output video | "832x480" | 832x480 480x832 |
cfg_scale | number | Classifier free guidance scale (higher values strengthen prompt adherence) | 6 | min: 0, max: 20 |
denoising_strength | number | Strength of denoising when using video-to-video mode. Higher values change more content. | 0.7 | min: 0, max: 1 |
frames_per_second | integer | Number of frames per second in the output video | 16 | min: 5, max: 24 |
input_video | string (uri) | Input video for video-to-video generation | — | — |
negative_prompt | string | Negative prompt to specify what to avoid in the generation | "low quality, blurry, distorted, disfigured, text, watermark" | — |
num_frames | integer | Number of frames to generate in the output video | 81 | min: 1, max: 100 |
num_inference_steps | integer | Number of sampling steps (higher = better quality but slower) | 40 | min: 10, max: 50 |
seed | integer | Random seed for reproducible results (leave blank for random) | — | — |
tiled | boolean | Whether to use tiled sampling for better quality on larger videos | true | — |
prompt required string Text prompt describing what you want to generate or modify
aspect_ratio string Aspect ratio for the output video
"832x480" cfg_scale number Classifier free guidance scale (higher values strengthen prompt adherence)
6 min: 0, max: 20 denoising_strength number Strength of denoising when using video-to-video mode. Higher values change more content.
0.7 min: 0, max: 1 frames_per_second integer Number of frames per second in the output video
16 min: 5, max: 24 input_video string Input video for video-to-video generation
negative_prompt string Negative prompt to specify what to avoid in the generation
"low quality, blurry, distorted, disfigured, text, watermark" num_frames integer Number of frames to generate in the output video
81 min: 1, max: 100 num_inference_steps integer Number of sampling steps (higher = better quality but slower)
40 min: 10, max: 50 seed integer Random seed for reproducible results (leave blank for random)
tiled boolean Whether to use tiled sampling for better quality on larger videos
true 9349766527ed Updated: 2/26/2026 1.3K runs
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