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chenxwh /onediffusion:00c1acf4
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 |
---|---|---|---|
task |
string
(enum)
|
text2image
Options: text2image, deblurring, image_inpainting, canny2image, depth2image, hed2img, pose2image, semanticmap2image, boundingbox2image, image_editing, faceid, multiview, subject_driven |
Choose a task
|
prompt |
string
|
A bipedal black cat wearing a huge oversized witch hat, a wizards robe, casting a spell,in an enchanted forest. The scene is filled with fireflies and moss on surrounding rocks and trees
|
Input prompt.
|
negative_prompt |
string
|
monochrome, greyscale, low-res, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
|
Specify things to not see in the output
|
image1 |
string
|
First input image for img2img tasks
|
|
image2 |
string
|
Optional, second input image for img2img tasks
|
|
image3 |
string
|
Optinal, third input image for img2img tasks
|
|
width |
integer
|
1024
|
Width of output image
|
height |
integer
|
1024
|
Height of output image
|
num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
guidance_scale |
number
|
4
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
azimuth |
string
|
0
|
Azimuths degrees, comma-separated, for multiview generation
|
elevation |
string
|
0
|
Elevations degrees, comma-separated, for multiview generation
|
distance |
string
|
1.5
|
Distances, comma-separated, for multiview generation
|
focal_length |
number
|
1.3887
|
Focal Length of camera for multiview generation
|
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'}