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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 |
|---|---|---|---|
| input_image |
string
|
ID image (main)
|
|
| prompt |
string
|
man sportrait,cinematic,in garden,soft light
|
Prompt
|
| negative_prompt |
string
|
flaws in the eyes, flaws in the face, flaws, lowres, non-HDRi, low quality, worst quality,artifacts noise, text, watermark, glitch, deformed, mutated, ugly, disfigured, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry
|
Negative Prompt
|
| guidance_scale |
number
|
1.2
Min: 1 Max: 1.5 |
CFG, recommend value range [1, 1.5], 1 will be faster
|
| num_steps |
integer
|
4
Min: 1 Max: 100 |
Steps
|
| identity_scale |
number
|
0.8
Max: 5 |
ID scale
|
| generation_mode |
None
|
fidelity
|
mode
|
| img2img_canny_strength |
number
|
0.1
Max: 1 |
ONLY FOR 0 or 2+ FACES: Canny ControlNet strength, effective only if > 0
|
| img2img_depth_strength |
number
|
0.7
Max: 1 |
ONLY FOR 0 or 2+ FACES: Depth ControlNet strength, effective only if > 0
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| num_samples |
integer
|
1
Min: 1 Max: 4 |
Num samples
|
| input_zip |
string
|
ZIP file containing input images.
|
|
| megapixel_count |
number
|
1
|
Megapixel count for image downscaling. 1024x1024 resolution is equal to 1 megapixel
|
| disable_nsfw_checker |
boolean
|
False
|
Disable safety checker for generated images.
|
| verbose |
boolean
|
False
|
Print detailed timing information
|
| debug_images |
boolean
|
False
|
(PARAMETER ONLY RELEVANT IN DEVELOPMENT) Save debug images
|
| force_clip |
boolean
|
False
|
Force using CLIP for captioning
|
| warm_delay |
integer
|
Parameter for warming the model. If set, returns empty dict after specified seconds
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'title': 'Output', 'type': 'object'}