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danielguedesb /pix2pix:4bff1aa0

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
image
string
An image which will be repainted according to prompt
prompt
string
Prompt to guide the image generation
negative_prompt
string
The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
num_outputs
integer (enum)
1

Options:

1, 4

Number of images to output
num_inference_steps
integer
100

Min: 1

Max: 500

The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance. Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.
image_guidance_scale
number
1.5

Min: 1

Image guidance scale is to push the generated image towards the inital image. Higher image guidance scale encourages to generate images that are closely linked to the source image, usually at the expense of lower image quality.
scheduler
string (enum)
K_EULER_ANCESTRAL

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler.
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'}