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pnyompen /sd-controlnet-lora:a05c9726
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
|
An astronaut riding a rainbow unicorn
|
Input prompt
|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| img2img |
boolean
|
False
|
Use img2img pipeline, it will use the image input both as the control image and the base image.
|
| auto_generate_caption |
boolean
|
False
|
Use BLIP to generate captions for the input images
|
| generated_caption_weight |
number
|
0.5
|
Weight for the generated caption
|
| condition_scale |
number
|
1.1
Max: 2 |
The bigger this number is, the more ControlNet interferes
|
| strength |
number
|
0.8
Max: 1 |
When img2img is active, the denoising strength. 1 means total destruction of the input image.
|
| ip_adapter_scale |
number
|
1
|
Scale for the IP Adapter
|
| negative_prompt |
string
|
|
Input Negative Prompt
|
| num_inference_steps |
integer
|
30
Min: 1 Max: 500 |
Number of denoising steps
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
scheduler
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| lora_scale |
number
|
0.95
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'}