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nvidia /sana-sprint-1.6b:6ed1ce77
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
|
a tiny astronaut hatching from an egg on the moon
|
Input prompt
|
| width |
integer
|
1024
Min: 256 Max: 4096 |
Width of output image
|
| height |
integer
|
1024
Min: 256 Max: 4096 |
Height of output image
|
| inference_steps |
integer
|
2
Min: 1 Max: 4 |
Number of sampling steps
|
| intermediate_timesteps |
number
|
1.3
Min: 0.5 Max: 1.5 |
Intermediate timestep value (only used when inference_steps=2, recommended values: 1.0-1.4)
|
| guidance_scale |
number
|
4.5
Min: 1 Max: 20 |
CFG guidance scale
|
| seed |
integer
|
-1
|
Seed value. Set to a value less than 0 to randomize the seed
|
| output_format |
string
(enum)
|
jpg
Options: webp, jpg, png |
Format of the output images
|
| output_quality |
integer
|
80
Max: 100 |
Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
|
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'}