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speshiou /majicmix-realistic-sd-webui:2397fb65
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
|
|
| negative_prompt |
string
|
EasyNegative
|
Negative Prompt
|
| width |
integer
|
512
Min: 1 Max: 1024 |
Width of output image
|
| height |
integer
|
768
Min: 1 Max: 1024 |
Height of output image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output
|
| scheduler |
string
(enum)
|
DPM++ SDE Karras
Options: DPM++ 2M Karras, DPM++ SDE Karras, DPM++ 2M SDE Exponential, DPM++ 2M SDE Karras, Euler a, Euler, LMS, Heun, DPM2, DPM2 a, DPM++ 2S a, DPM++ 2M, DPM++ SDE, DPM++ 2M SDE, DPM++ 2M SDE Heun, DPM++ 2M SDE Heun Karras, DPM++ 2M SDE Heun Exponential, DPM++ 3M SDE, DPM++ 3M SDE Karras, DPM++ 3M SDE Exponential, DPM fast, DPM adaptive, LMS Karras, DPM2 Karras, DPM2 a Karras, DPM++ 2S a Karras, Restart, DDIM, PLMS, UniPC |
scheduler
|
| num_inference_steps |
integer
|
20
Min: 1 Max: 100 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| seed |
integer
|
-1
|
Random seed. Leave blank to randomize the seed
|
| enable_hr |
boolean
|
False
|
Hires. fix
|
| hr_upscaler |
string
(enum)
|
Latent
Options: Latent, Latent (antialiased), Latent (bicubic), Latent (bicubic antialiased), Latent (nearest), Latent (nearest-exact), None, Lanczos, Nearest, ESRGAN_4x, LDSR, R-ESRGAN 4x+, R-ESRGAN 4x+ Anime6B, ScuNET GAN, ScuNET PSNR, SwinIR 4x |
Upscaler for Hires. fix
|
| hr_steps |
integer
|
20
Max: 100 |
Inference steps for Hires. fix
|
| hr_scale |
number
|
2
Min: 1 Max: 4 |
Factor to scale image by
|
| denoising_strength |
number
|
0.5
Max: 1 |
Denoising strength. 1.0 corresponds to full destruction of information in init image
|
| enable_adetailer |
boolean
|
False
|
ADetailer, suggests enabling for expected small faces, e.g. full body, long-range view
|
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'}