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replicategithubwc /zeroscope:9538b3b3
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
|
astronaut riding a horse on mars, beautiful, 8k, perfect, award winning, national geographic
|
Input prompt
|
| negative_prompt |
string
|
very blue, dust, noisy, washed out, ugly, distorted, broken
|
Specify things to not see in the output
|
| width |
integer
|
1024
|
Width of output image
|
| height |
integer
|
576
|
Height of output image
|
| num_frames |
integer
|
24
Min: 1 Max: 24 |
Number of frames for the output video
|
| fps |
integer
|
8
|
fps for the output video
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
12.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
string
(enum)
|
DPMSolverMultistep
Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS, DEISMultistepScheduler, DPM++_2M_Karras |
Choose a scheduler.
|
| init_weight |
number
|
0.6
Max: 1 |
Strength of upscale
|
| 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
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}