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pratos /stable-diffusion-2-1-512:4ec7e015
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 gentleman otter
|
Prompt for the model
|
| negative_prompt |
string
|
((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))
|
Negative prompt for the model. Add things that you'd want to avoid in the image.
|
| img_height |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of the output image
|
| img_width |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of the output image
|
| scheduler |
string
(enum)
|
euler
Options: euler, ddim, ddpm, dpm-solver-single-step, dmp-solver-multi-step, heun, kdpm2, kdpm2-ancestral, karras-ve, lms, pndm, ipndm, euler-ancestral, vq-diffusion |
Sampler to use
|
| cfg_scale |
number
|
7.5
Min: 1 Max: 30 |
Scale of the configuration
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of inference steps
|
| num_output_images |
integer
|
1
Min: 1 Max: 5 |
Number of output images
|
| seed |
integer
|
-1
|
Seed for the model
|
| vae_slicing |
integer
(enum)
|
0
Options: 1, 0 |
Use VAE slicing to allow large batches of images to be generated
|
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'}