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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| video |
string
|
Input video file to enhance
|
|
| prompt |
string
|
Realistic high quality video with realistic details and vibrant colors
|
Detailed text description of video content. Include: Main subjects, colors, motion details, quality aspects. Example: '4K close-up of a golden retriever running through autumn leaves, vibrant orange and yellow colors, sharp details'
|
| upscale |
integer
|
4
Min: 1 Max: 4 |
Super-resolution scaling factor.
|
| solver_mode |
string
(enum)
|
normal
Options: fast, normal |
Sampling strategy: 'fast' (fixed 15 steps) for quick results, 'normal' (custom steps) for quality tuning
|
| steps |
integer
|
5
Min: 2 Max: 50 |
Number of diffusion steps (normal mode only). 1-5: balanced, 10-50: extreme details (very slower)
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Text-video alignment strength. Lower: creative interpretation (5.0-7.5), Higher: strict prompt adherence (8.0-15.0)
|
| max_chunk_len |
integer
|
24
Min: 1 Max: 32 |
Frame group size for temporal processing. Higher values improve motion consistency but increase VRAM usage (24 = ~8GB VRAM)
|
| chunk_size |
integer
|
3
Min: 1 Max: 10 |
Parallel processing batches.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}