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anotherjesse /sdxl-recur:dd9bc734
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
|
An astronaut riding a rainbow unicorn
|
Input prompt
|
| negative_prompt |
string
|
|
Input Negative Prompt
|
| image |
string
|
instead of starting with txt2img generating the first frame, you can send your own (optional)
|
|
| width |
integer
|
1024
|
Width of output image (ignored if image is provided)
|
| height |
integer
|
1024
|
Height of output image (ignored if image is provided)
|
| steps |
integer
|
10
Min: 1 Max: 500 |
Number of denoising steps per image
|
| frames |
integer
|
20
Min: 1 Max: 500 |
Number of frames
|
| zoom |
number
|
1.05
Min: 1.0 Max: 4.0 |
Zoom factor
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| prompt_strength |
number
|
0.8
Max: 1.0 |
Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
scheduler
|
| 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',
'x-cog-array-type': 'iterator'}