cloneofsimo
/
lora_test
- Public
- 181 runs
Run cloneofsimo/lora_test with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
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 an astronaut riding a horse on mars
|
Input prompt
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| width |
integer
(enum)
|
768
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)
|
768
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
|
| scheduler |
string
(enum)
|
DPMSolverMultistep
Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS |
Choose a scheduler.
|
| lora_1_url |
string
|
url for safetensors of lora model.
|
|
| lora_1_scale |
number
|
0.8
Max: 4 |
LoRA scale for weight interpolation
|
| lora_2_url |
string
|
(Optional) url for safetensors of second lora model.
|
|
| lora_2_scale |
number
|
0.8
Max: 4 |
(Optional) LoRA scale for weight interpolation, lora_1_scale*lora_1 + lora_2_scale*lora_2. Scales don't have to sum to 1.
|
| list_of_lora_urls |
string
|
(Optional) list of urls for safetensors of lora models, seperated with | . If provided, it will override all above options.
|
|
| list_of_lora_scales |
string
|
(Optional) list of scales for safetensors of lora models, seperated with |
|
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 14,
"description": "Random seed. Leave blank to randomize the seed"
},
"width": {
"enum": [
128,
256,
384,
448,
512,
576,
640,
704,
768,
832,
896,
960,
1024
],
"type": "integer",
"title": "width",
"description": "Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
"default": 768,
"x-order": 2
},
"height": {
"enum": [
128,
256,
384,
448,
512,
576,
640,
704,
768,
832,
896,
960,
1024
],
"type": "integer",
"title": "height",
"description": "Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
"default": 768,
"x-order": 3
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "a photo of an astronaut riding a horse on mars",
"x-order": 0,
"description": "Input prompt"
},
"scheduler": {
"enum": [
"DDIM",
"K_EULER",
"DPMSolverMultistep",
"K_EULER_ANCESTRAL",
"PNDM",
"KLMS"
],
"type": "string",
"title": "scheduler",
"description": "Choose a scheduler.",
"default": "DPMSolverMultistep",
"x-order": 7
},
"lora_1_url": {
"type": "string",
"title": "Lora 1 Url",
"x-order": 8,
"description": "url for safetensors of lora model."
},
"lora_2_url": {
"type": "string",
"title": "Lora 2 Url",
"x-order": 10,
"description": "(Optional) url for safetensors of second lora model."
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 4,
"description": "Number of images to output."
},
"lora_1_scale": {
"type": "number",
"title": "Lora 1 Scale",
"default": 0.8,
"maximum": 4,
"minimum": 0,
"x-order": 9,
"description": "LoRA scale for weight interpolation"
},
"lora_2_scale": {
"type": "number",
"title": "Lora 2 Scale",
"default": 0.8,
"maximum": 4,
"minimum": 0,
"x-order": 11,
"description": "(Optional) LoRA scale for weight interpolation, lora_1_scale*lora_1 + lora_2_scale*lora_2. Scales don't have to sum to 1."
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 6,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"x-order": 1,
"description": "Specify things to not see in the output"
},
"list_of_lora_urls": {
"type": "string",
"title": "List Of Lora Urls",
"x-order": 12,
"description": "(Optional) list of urls for safetensors of lora models, seperated with | . If provided, it will override all above options."
},
"list_of_lora_scales": {
"type": "string",
"title": "List Of Lora Scales",
"x-order": 13,
"description": "(Optional) list of scales for safetensors of lora models, seperated with | "
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 500,
"minimum": 1,
"x-order": 5,
"description": "Number of denoising steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}