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batouresearch /flux-controlnet-inpaint:e83c4f01
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
|
Prompt for generated image
|
|
| conditioning_scale |
number
|
0.5
Max: 1 |
ControlNet strength, depth works best at 0.2, canny works best at 0.4. Recommended range is 0.3-0.8
|
| image |
string
|
The image to restyle
|
|
| control_image |
string
|
The image to control the generation
|
|
| mask |
string
|
The area to inpaint
|
|
| strength |
number
|
0.8
Max: 1 |
Img2Img strength
|
| guidance_scale |
number
|
3.5
Max: 30 |
Guidance scale
|
| enable_hyper_flux_8_step |
boolean
|
True
|
Whether to use Hyper-FLUX.1-dev-8steps or not. If False, make sure to increase your number of inference steps
|
| num_inference_steps |
integer
|
8
Min: 1 Max: 28 |
Number of inference steps
|
| seed |
integer
|
Random seed. Set for reproducible generation
|
|
| output_format |
string
(enum)
|
jpg
Options: webp, jpg, png |
Format of the output images
|
| output_quality |
integer
|
100
Max: 100 |
Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
|
| lora_weights |
string
|
Huggingface path, or URL to the LoRA weights. Ex: alvdansen/frosting_lane_flux
|
|
| lora_scale |
number
|
0.8
Max: 1 |
Scale for the LoRA 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'}