fmxexpress/flux-lora-training

Public

30 runs

Run fmxexpress/flux-lora-training 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
images	string		A zip/tar file containing the images that will be used for training. File names must be their captions: a_photo_of_TOK.png, etc. Min 12 images required.
model_name	string	black-forest-labs/FLUX.1-dev	Model name
hf_token	string		HuggingFace token to use for accessing model
steps	integer	1000 Min: 10 Max: 4000	Number of training steps. Recommended range 500-4000
learning_rate	number	0.0004	Learning rate
batch_size	integer	1	Batch size
resolution	string	512,768,1024	Image resolutions for training
lora_linear	integer	16	LoRA linear value
lora_linear_alpha	integer	16	LoRA linear alpha value
repo_id	string		Enter HuggingFace repo id to upload LoRA to HF. Will return zip file if left empty.Ex: lucataco/flux-dev-lora

{
  "type": "object",
  "title": "Input",
  "required": [
    "images",
    "hf_token"
  ],
  "properties": {
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 1000,
      "maximum": 4000,
      "minimum": 10,
      "x-order": 3,
      "description": "Number of training steps. Recommended range 500-4000"
    },
    "images": {
      "type": "string",
      "title": "Images",
      "format": "uri",
      "x-order": 0,
      "description": "A zip/tar file containing the images that will be used for training. File names must be their captions: a_photo_of_TOK.png, etc. Min 12 images required."
    },
    "repo_id": {
      "type": "string",
      "title": "Repo Id",
      "x-order": 9,
      "description": "Enter HuggingFace repo id to upload LoRA to HF. Will return zip file if left empty.Ex: lucataco/flux-dev-lora"
    },
    "hf_token": {
      "type": "string",
      "title": "Hf Token",
      "format": "password",
      "x-order": 2,
      "description": "HuggingFace token to use for accessing model",
      "x-cog-secret": true
    },
    "batch_size": {
      "type": "integer",
      "title": "Batch Size",
      "default": 1,
      "x-order": 5,
      "description": "Batch size"
    },
    "model_name": {
      "type": "string",
      "title": "Model Name",
      "default": "black-forest-labs/FLUX.1-dev",
      "x-order": 1,
      "description": "Model name"
    },
    "resolution": {
      "type": "string",
      "title": "Resolution",
      "default": "512,768,1024",
      "x-order": 6,
      "description": "Image resolutions for training"
    },
    "lora_linear": {
      "type": "integer",
      "title": "Lora Linear",
      "default": 16,
      "x-order": 7,
      "description": "LoRA linear value"
    },
    "learning_rate": {
      "type": "number",
      "title": "Learning Rate",
      "default": 0.0004,
      "x-order": 4,
      "description": "Learning rate"
    },
    "lora_linear_alpha": {
      "type": "integer",
      "title": "Lora Linear Alpha",
      "default": 16,
      "x-order": 8,
      "description": "LoRA linear alpha value"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}