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jerray /realistic-vision-v5:a33cc0c1
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 |
|---|---|---|---|
| face_image |
string
|
Input face image
|
|
| control_image |
string
|
Control image
|
|
| prompt |
string
|
a photo of an astronaut riding a horse on mars
|
Input prompt
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| clip_skip |
integer
|
1
Min: 1 |
None
|
| 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
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
30
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
None
|
DPMSolverMultistep
|
Choose a scheduler.
|
| canny_low_threshold |
integer
|
100
Min: 1 Max: 255 |
Canny line detection low threshold
|
| canny_high_threshold |
integer
|
200
Min: 1 Max: 255 |
Canny line detection high threshold
|
| controlnet_conditioning_scale |
number
|
1
Max: 2 |
Control Weight
|
| control_guidance_start |
number
|
0
Max: 1 |
The percentage of total steps at which the controlnet starts applying
|
| control_guidance_end |
number
|
1
Max: 1 |
The percentage of total steps at which the controlnet stops applying
|
| resize_mode |
None
|
fill
|
fill - The image is resized to fill the given dimension. cover - The image keeps its aspect ratio and fills the given dimension. The image will be clipped to fit. crop - The image keeps its aspect ratio and scales to the target size.
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| lora_model |
None
|
None
|
|
| cross_attention_scale |
number
|
0.8
Max: 1 |
A scale value of 0 is the same as not using your LoRA weights and you’re only using the base model weights, and a scale value of 1 means you’re only using the fully finetuned LoRA weights.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}