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gmcolab /img2img_blend:18fa6c55
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
|
Input prompt
|
|
| negative_prompt |
string
|
semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, poorly drawn, lowres, bad quality, worst quality, unrealistic, overexposed, underexposed
|
Negative prompt
|
| image |
string
|
Image generated with controlnet, overlaid with the original object
|
|
| noback_image |
string
|
The original object image, with removed background
|
|
| width |
None
|
512
|
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
None
|
512
|
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| prompt_strength |
number
|
0.1
|
Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
|
| num_outputs |
integer
|
1
Min: 1 Max: 8 |
Number of images to output. Higher number of outputs may OOM.
|
| num_inference_steps |
integer
|
20
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
1
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
None
|
K_EULER_ANCESTRAL
|
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'}