alexgenovese / ominicontrol-lora
WIP | Minimal and Universal Control for Diffusion Transformer
Run alexgenovese/ominicontrol-lora 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
|
Prompt for generated image
|
|
aspect_ratio |
string
(enum)
|
1:1
Options: 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21 |
Aspect ratio for the generated image
|
image |
string
|
Image for omni
|
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps
|
guidance_scale |
number
|
3.5
Max: 10 |
Guidance scale for the diffusion process
|
seed |
integer
|
Random seed. Set for reproducible generation
|
|
output_format |
string
(enum)
|
webp
Options: webp, jpg, png |
Format of the output images
|
output_quality |
integer
|
80
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
|
hf_lora |
string
|
HF, Replicate, CivitAI, or URL to a LoRA. Ex: alvdansen/frosting_lane_flux
|
|
lora_scale |
number
|
0.8
Max: 1 |
Scale for the LoRA weights
|
disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 6,
"description": "Random seed. Set for reproducible generation"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 2,
"description": "Image for omni"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for generated image"
},
"hf_lora": {
"type": "string",
"title": "Hf Lora",
"x-order": 9,
"description": "HF, Replicate, CivitAI, or URL to a LoRA. Ex: alvdansen/frosting_lane_flux"
},
"lora_scale": {
"type": "number",
"title": "Lora Scale",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"x-order": 10,
"description": "Scale for the LoRA weights"
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 3,
"description": "Number of images to output."
},
"aspect_ratio": {
"enum": [
"1:1",
"16:9",
"21:9",
"3:2",
"2:3",
"4:5",
"5:4",
"3:4",
"4:3",
"9:16",
"9:21"
],
"type": "string",
"title": "aspect_ratio",
"description": "Aspect ratio for the generated image",
"default": "1:1",
"x-order": 1
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "Format of the output images",
"default": "webp",
"x-order": 7
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 3.5,
"maximum": 10,
"minimum": 0,
"x-order": 5,
"description": "Guidance scale for the diffusion process"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 8,
"description": "Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 50,
"minimum": 1,
"x-order": 4,
"description": "Number of inference steps"
},
"disable_safety_checker": {
"type": "boolean",
"title": "Disable Safety Checker",
"default": false,
"x-order": 11,
"description": "Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}