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zenaivn /dreambooth-inference:28ac03a8

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
model_replicate_link
string
(Optional) Enter your model replicate link. In case you don't have your own, here is a test link: https://replicate.delivery/pbxt/mu6jfnIIdQWIMKpBXRX3AkRltbjmwEX7kERNInQptcSM3VIJA/output.zip
prompt
string
a professional photo portrait of ohwx woman
Input prompt
negative_prompt
string
nude, old, wrinkles, mole, blemish, scar, cg, 3d
Specify things to not see in the output
weight_prompting
boolean
True
Choose if you want to use weight_prompting
only_super_resolution
boolean
False
Choose if you only want to upscale the image
only_super_resolution_images
string
Enter your str of input images for upscale only
faceswap_enhancement
boolean
True
Choose if you want to swap and enhance face
codeformer_enhancement
boolean
True
Use Codeformer restoration.
gfpgan_enhancement
boolean
True
Use GFPGAN restoration.
super_resolution
boolean
True
Choose if you want to upscale the image
super_resolution_advance
boolean
False
Choose if you want to upscale the image with advanced settings
hiresfix
boolean
True
Choose if you want to hiresfix the image
inpaint_face
boolean
True
Choose if you want to inpaint face
width
None
512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
None
640
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
35

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
scheduler
None
DPMSolverMultistep
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'}