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sczhou /upscale-a-video:bf85b880

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
input_video
string
Low-resolution video
video_caption
string
Optionally provide the video caption.
use_llava
boolean
False
Use LLaVA to generate video caption. Ignored if video_caption is provided.
a_prompt
string
best quality, extremely detailed
Additional prompt
n_prompt
string
blur, worst quality
Negative prompt
noise_level
integer
150

Max: 200

Noise level applied to the input video. A higher noise level typically results in better video quality but lower fidelity.
guidance_scale
number
6

Max: 20

Classifier-free guidance scale for prompts. A higher guidance scale encourages the model to generate more details.
inference_steps
integer
30

Max: 100

The number of denoising steps. More steps usually lead to a higher quality video.
propagation_steps
string
Optional. Propagation steps after performing denoising. Separate the steps woth comma.
color_fix
string (enum)
None

Options:

None, AdaIn, Wavelet

An enumeration.
seed
integer
Random seed. Leave blank to randomize the seed

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'}