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chenxwh/stable-diffusion-v2:e5e1fd33
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 photo of an astronaut riding a horse on mars
|
Input prompt
|
| negative_prompt |
string
|
The prompt NOT to guide the image generation. Ignored when not using guidance
|
|
| width |
integer
(enum)
|
768
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
integer
(enum)
|
768
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| init_image |
string
|
Initial image to generate variations of. Will be resized to the specified width and height
|
|
| prompt_strength |
number
|
0.8
|
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
|
| num_outputs |
integer
|
1
Min: 1 Max: 3 |
Number of images to output. Currenly allowing 1-3, otherwise would OOM.
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, K_EULER, DPMSolverMultistep, PNDM, KLMS, K_EULER_ANCESTRAL |
Choose a scheduler. Seems only DDIM and K_EULER and DPMSolverMultistep work for sd-v2 now.
|
| 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.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}