daanelson / big-flux-dev
- Public
- 5 runs
Run daanelson/big-flux-dev 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
|
|
| redux_image |
string
|
Input image to condition your output on. This replaces prompt for FLUX.1 Redux models
|
|
| 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. If custom is selected, uses height and width below & will run in bf16 mode
|
| height |
integer
|
Min: 256 Max: 1440 |
Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
|
| width |
integer
|
Min: 256 Max: 1440 |
Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
|
| image |
string
|
Input image for image to image mode. The aspect ratio of your output will match this image
|
|
| mask |
string
|
Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
|
|
| prompt_strength |
number
|
0.8
Max: 1 |
Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs to generate
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster.
|
| guidance |
number
|
3
Max: 10 |
Guidance for generated image
|
| 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.
|
| go_fast |
boolean
|
True
|
Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
|
| lora_weights |
string
|
Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
|
|
| lora_scale |
number
|
1
Min: -1 Max: 3 |
Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
|
| extra_lora |
string
|
Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
|
|
| extra_lora_scale |
number
|
1
Min: -1 Max: 3 |
Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
|
| megapixels |
string
(enum)
|
1
Options: 1, 0.25 |
Approximate number of megapixels for generated image
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"mask": {
"type": "string",
"title": "Mask",
"format": "uri",
"x-order": 6,
"description": "Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored."
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 11,
"description": "Random seed. Set for reproducible generation"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 5,
"description": "Input image for image to image mode. The aspect ratio of your output will match this image"
},
"width": {
"type": "integer",
"title": "Width",
"maximum": 1440,
"minimum": 256,
"x-order": 4,
"description": "Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation"
},
"height": {
"type": "integer",
"title": "Height",
"maximum": 1440,
"minimum": 256,
"x-order": 3,
"description": "Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for generated image"
},
"go_fast": {
"type": "boolean",
"title": "Go Fast",
"default": true,
"x-order": 15,
"description": "Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16"
},
"guidance": {
"type": "number",
"title": "Guidance",
"default": 3,
"maximum": 10,
"minimum": 0,
"x-order": 10,
"description": "Guidance for generated image"
},
"extra_lora": {
"type": "string",
"title": "Extra Lora",
"x-order": 18,
"description": "Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'"
},
"lora_scale": {
"type": "number",
"title": "Lora Scale",
"default": 1,
"maximum": 3,
"minimum": -1,
"x-order": 17,
"description": "Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora."
},
"megapixels": {
"enum": [
"1",
"0.25"
],
"type": "string",
"title": "megapixels",
"description": "Approximate number of megapixels for generated image",
"default": "1",
"x-order": 20
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 8,
"description": "Number of outputs to generate"
},
"redux_image": {
"type": "string",
"title": "Redux Image",
"format": "uri",
"x-order": 1,
"description": "Input image to condition your output on. This replaces prompt for FLUX.1 Redux models"
},
"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. If custom is selected, uses height and width below & will run in bf16 mode",
"default": "1:1",
"x-order": 2
},
"lora_weights": {
"type": "string",
"title": "Lora Weights",
"x-order": 16,
"description": "Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'"
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "Format of the output images",
"default": "webp",
"x-order": 12
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 13,
"description": "Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs"
},
"prompt_strength": {
"type": "number",
"title": "Prompt Strength",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"x-order": 7,
"description": "Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image"
},
"extra_lora_scale": {
"type": "number",
"title": "Extra Lora Scale",
"default": 1,
"maximum": 3,
"minimum": -1,
"x-order": 19,
"description": "Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora."
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 50,
"minimum": 1,
"x-order": 9,
"description": "Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster."
},
"disable_safety_checker": {
"type": "boolean",
"title": "Disable Safety Checker",
"default": false,
"x-order": 14,
"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"
}