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batouresearch /sdxl-controlnet-lora-inpaint:35c927ab
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
|
Medium shot, Adorable blue creature with big reflective eyes
|
Input Prompt
|
| negative_prompt |
string
|
worst quality, low quality
|
Input Negative Prompt
|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| mask |
string
|
Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
|
|
| prompt_strength |
number
|
0.8
Max: 1 |
Strength of the given prompt. 1 means total destruction of input image.
|
| condition_scale |
number
|
0.5
Max: 1 |
The bigger this number is, the more ControlNet interferes
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| scheduler |
string
(enum)
|
DDIM
Options: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, PNDM, KarrasDPM |
scheduler
|
| num_inference_steps |
integer
|
35
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| lora_scale |
number
|
0.6
Max: 1 |
LoRA additive scale. Only applicable on trained models.
|
| lora_weights |
string
|
Replicate LoRA weights to use. Leave blank to use the default weights.
|
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'}