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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 |
---|---|---|---|
prompt |
string
|
The camera slowly rotates around a massive stack of vintage televisions that are placed within a large New York museum gallery. Each of the televisions is showing a different program. There are 1950s sci-fi movies with their distinctive visuals, horror movies with their creepy scenes, news broadcasts with moving images and words, static on some screens, and a 1970s sitcom with its characteristic look. The televisions are of various sizes and designs, some with rounded edges and others with more angular shapes. The gallery is well-lit, with light falling on the stack of televisions and highlighting the different programs being shown. There are no people visible in the immediate vicinity, only the stack of televisions and the surrounding gallery space.
|
Input prompt
|
negative_prompt |
string
|
low quality, deformed, distorted, disfigured, fused fingers, bad anatomy, weird hand
|
Specify things to not see in the output
|
image |
string
|
Input image prompt, optional
|
|
num_inference_steps |
integer
|
128
Min: 1 Max: 128 |
Number of inference steps
|
num_diffusion_steps |
integer
|
100
Min: 1 Max: 100 |
Number of diffusion steps
|
guidance_scale |
number
|
7
Min: 1 Max: 10 |
Scale for classifier-free guidance
|
motion_flow |
integer
|
5
Min: 1 Max: 10 |
Motion Flow
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
fps |
integer
|
12
|
fps for the output video
|
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'}