neurowelt / flux-dev-lora

Try your LoRA with Flux Dev

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  • 2.2K runs

Run neurowelt/flux-dev-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
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
4

Min: 1

Max: 120

Number of inference steps
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
Huggingface path, or URL to the LoRA weights. Ex: alvdansen/frosting_lane_flux
lora_scale
number
0.8

Max: 1

Scale for the LoRA weights
disable_safety_checker
boolean
True
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.

Schema
{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}