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pwntus /360-diffusion:86c8af86

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
width
integer (enum)
1600

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600

Width of output image.
height
integer (enum)
768

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600

Height of output image.
num_outputs
integer
1

Min: 1

Max: 4

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

Options:

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

scheduler
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance
seed
integer
Random seed. Leave blank to randomize the seed
refine
string (enum)
no_refiner

Options:

no_refiner, expert_ensemble_refiner, base_image_refiner

Which refine style to use
high_noise_frac
number
0.8

Max: 1

for expert_ensemble_refiner, the fraction of noise to use
refine_steps
integer
for base_image_refiner, the number of steps to refine, defaults to num_inference_steps
apply_watermark
boolean
True
Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

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'}