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cloneofsimo /realistic_vision_v1.3:5ad9a3be
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
|
a photo of <1> riding a horse on mars
|
Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts
|
| negative_prompt |
string
|
|
Specify things to not see in the output
|
| width |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
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
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| image |
string
|
(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.
|
|
| prompt_strength |
number
|
0.8
|
(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
|
| scheduler |
string
(enum)
|
DPMSolverMultistep
Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS |
Choose a scheduler.
|
| lora_urls |
string
|
|
List of urls for safetensors of lora models, seperated with | .
|
| lora_scales |
string
|
0.5
|
List of scales for safetensors of lora models, seperated with |
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| adapter_condtion_image |
string
|
(T2I-adapter) Adapter Condition Image to gain extra control over generation. If this is not none, T2I adapter will be invoked.
|
|
| adapter_type |
string
|
sketch
|
(T2I-adapter) Choose an adapter type for the additional condition .
|
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'}