skytells-research
/
flux-test
- Public
- 153 runs
- Fine-tune
Run skytells-research/flux-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
|
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, custom |
Aspect ratio for the generated image. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'.
|
| width |
integer
|
Min: 256 Max: 1440 |
Width of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)
|
| height |
integer
|
Min: 256 Max: 1440 |
Height of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| lora_scale |
number
|
1
Min: -1 Max: 2 |
Determines how strongly the LoRA should be applied. Sane results between 0 and 1.
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps
|
| model |
string
(enum)
|
dev
Options: dev, schnell |
Which model to run inferences with. The dev model needs around 28 steps but the schnell model only needs around 4 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
|
| disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images.
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 9,
"description": "Random seed. Set for reproducible generation"
},
"model": {
"enum": [
"dev",
"schnell"
],
"type": "string",
"title": "model",
"description": "Which model to run inferences with. The dev model needs around 28 steps but the schnell model only needs around 4 steps.",
"default": "dev",
"x-order": 7
},
"width": {
"type": "integer",
"title": "Width",
"maximum": 1440,
"minimum": 256,
"x-order": 2,
"description": "Width of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)"
},
"height": {
"type": "integer",
"title": "Height",
"maximum": 1440,
"minimum": 256,
"x-order": 3,
"description": "Height of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for generated image"
},
"lora_scale": {
"type": "number",
"title": "Lora Scale",
"default": 1,
"maximum": 2,
"minimum": -1,
"x-order": 5,
"description": "Determines how strongly the LoRA should be applied. Sane results between 0 and 1."
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 4,
"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",
"custom"
],
"type": "string",
"title": "aspect_ratio",
"description": "Aspect ratio for the generated image. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'.",
"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": 10
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 3.5,
"maximum": 10,
"minimum": 0,
"x-order": 8,
"description": "Guidance scale for the diffusion process"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 11,
"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": 6,
"description": "Number of inference steps"
},
"disable_safety_checker": {
"type": "boolean",
"title": "Disable Safety Checker",
"default": false,
"x-order": 13,
"description": "Disable safety checker for generated images."
}
}
}
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"
}