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cloneofsimo /portraitplus_lora:fec6839a

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 photo of <1> riding a horse on mars
Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts
negative_prompt
string
Specify things to not see in the output
width
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

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
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
image
string
(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.
prompt_strength
number
0.8
(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler.
lora_urls
string
List of urls for safetensors of lora models, seperated with | .
lora_scales
string
0.5
List of scales for safetensors of lora models, seperated with |
seed
integer
Random seed. Leave blank to randomize the seed
adapter_condition_image
string
(T2I-adapter) Adapter Condition Image to gain extra control over generation. If this is not none, T2I adapter will be invoked. Width, Height of this image must match the above parameter, or dimension of the Img2Img image.
adapter_type
string (enum)
sketch

Options:

sketch, seg, keypose, depth

(T2I-adapter) Choose an adapter type for the additional condition.

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'}