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georgedavila /pixart-alpha-general:2cbeb250

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 small cactus with a happy face in the Sahara desert
Input prompt
negative_prompt
string
Negative prompt
modelChoice
string (enum)
PixArt-alpha/PixArt-XL-2-1024-MS

Options:

PixArt-alpha/PixArt-XL-2-1024-MS, PixArt-alpha/PixArt-LCM-XL-2-1024-MS, PixArt-alpha/PixArt-XL-2-512x512

Pixart model to use
useCustomModel
boolean
False
Enter custom model - check this to use the Pixart model you type in below rather than one of the choices above.
customModel
string
PixArt-alpha/PixArt-XL-2-1024-MS
Custom Pixart model path (from huggingface hub)
textEncoderChoice
string (enum)
PixArt-alpha/PixArt-XL-2-1024-MS

Options:

PixArt-alpha/PixArt-XL-2-1024-MS, PixArt-alpha/PixArt-LCM-XL-2-1024-MS, PixArt-alpha/PixArt-XL-2-512x512

Text Encoder for Pixart model to use
useCustomTextEncoder
boolean
False
Enter custom text encoder - check this to use the text encoder you type in below rather than one of the choices above.
customTextEncoder
string
PixArt-alpha/PixArt-XL-2-1024-MS
Custom text encoder path (from huggingface hub)
style
string (enum)
None

Options:

None, Cinematic, Photographic, Anime, Manga, Digital Art, Pixel Art, Fantasy Art, Neonpunk, 3D Model

Image style
width
integer
1024
Width of output image
height
integer
1024
Height of output image
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM

scheduler
num_inference_steps
integer
14

Min: 1

Max: 100

Number of denoising steps
guidance_scale
number
4.5

Min: 1

Max: 50

Scale for classifier-free guidance
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'}