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laion-ai /deep-image-diffusion-prior:493b6aaf
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
|
|
Prompt to generate
|
| offset_type |
string
(enum)
|
none
Options: none, random, random_offset, random_offset_scale |
Offset type
|
| num_scales |
integer
|
6
Min: 1 Max: 10 |
Number of scales
|
| size_x |
integer
(enum)
|
256
Options: 64, 128, 256 |
Resolution of input image
|
| size_y |
integer
(enum)
|
256
Options: 64, 128, 256 |
Resolution of input image
|
| input_noise_strength |
number
|
0
Max: 1 |
Strength of input noise
|
| lr |
number
|
0.001
Max: 10 |
Learning rate
|
| offset_lr_fac |
number
|
1
Max: 10 |
Learning rate factor for offset
|
| lr_decay |
number
|
0.995
Max: 1 |
Learning rate decay
|
| param_noise_strength |
number
|
0
Max: 1 |
Strength of parameter noise
|
| display_freq |
integer
|
25
Max: 100 |
Display frequency
|
| iterations |
integer
|
250
Max: 1000 |
Number of iterations
|
| num_samples_per_batch |
integer
|
2
Min: 1 Max: 10 |
Number of samples per batch
|
| num_cutouts |
integer
|
8
Min: 4 Max: 32 |
Number of cutouts
|
| guidance_scale |
number
|
1
Max: 10 |
Scale of conditioning
|
| seed |
integer
|
-1
Min: -1 Max: 100000 |
Random seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array',
'x-cog-array-type': 'iterator'}