You're looking at a specific version of this model. Jump to the model overview.

expa-ai /avatar-model:d984d38a

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
process_type
string (enum)
generate

Options:

generate, upscale, generate_and_upscale, face_swap, generate_swap, generate_swap_upscale

Choose a process type. Can be 'generate', 'upscale' or 'generate_and_upscale'. Defaults to 'generate'
prompt
string
a woman in pink jacket,(barbie-themed office), princess room, princess, (pink accessories), (pink office), (costume:1.1),(best quality), (photo realistic), (small breast:1.1), ((hands))
Input prompt.
negative_prompt
string
(bad_pictures:1.2), negative_hand-neg, negative_hand, (nsfw:2), (worst quality), (low quality), (normal quality), lowres, watermark, monochrome
Input negative prompt.
width
integer (enum)
640

Options:

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

Width of output image.
height
integer (enum)
640

Options:

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

Height of output image.
num_inference_steps
integer
25

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7

Min: 1

Max: 20

Scale for classifier-free guidance
scheduler
string (enum)
DPM++

Options:

DDIM, K_EULER, K_EULER_ANCESTRAL, DPM++, UniPC

Choose a scheduler.
seed
integer
-1
Random seed. Leave blank to randomize the seed.
upscaler_model
string (enum)
4x_UniversalUpscalerV2-Neutral_115000_swaG

Options:

4x_UniversalUpscalerV2-Neutral_115000_swaG, 4x_UniversalUpscalerV2-Sharp_101000_G, 4x_UniversalUpscalerV2-Sharper_103000_G

Model to use for upscaling
image_to_upscale
string
Input image for the upscaler (ESRGAN).
image
string
Inital image to generate variations of. Supproting images size with 512x512 or 512x768
mask_image
string
Black and white image to use as mask for inpainting over the image provided. White pixels are inpainted and black pixels are preserved
need_mask
boolean
True
Generate a mask with built-in helper function.
strength
number
0.3
How much to transform the masked portion of the reference image. Always use 0.3 for avatars.
target_for_swap
string
Target image for adding the face from original image. (***This is just to test the face swap feature. Do not use***)
num_outputs
integer
1

Min: 1

Max: 10

Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this.
need_lora
boolean
False
Whether to use LoRA or not.

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'}