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FLUX 2 Trainer Edit

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Fine-tune FLUX.2 [dev] from Black Forest Labs with custom datasets. Create specialized LoRA adaptations for specific editing tasks.

Training$ Commercial use

About FLUX 2 Trainer Edit

Fine-tune FLUX.2 [dev] from Black Forest Labs with custom datasets. Create specialized LoRA adaptations for specific editing tasks.

Pricing

Training models are coming soon. You can still browse this model's inputs below.

Inputs

image_data_urlfilerequired

URL to the input data zip archive. The zip should contain pairs of images. The images should be named: ROOT_start.EXT and ROOT_end.EXT For example: photo_start.jpg and photo_end.jpg The zip can also contain up to four reference image for each image pair. The reference images should be named: ROOT_start.EXT, ROOT_start2.EXT, ROOT_start3.EXT, ROOT_start4.EXT, ROOT_end.EXT For example: photo_start.jpg, photo_start2.jpg, photo_end.jpg The zip can also contain a text file for each image pair. The text file should be named: ROOT.txt For example: photo.txt This text file can be used to specify the edit instructions for the image pair. If no text file is provided, the default_caption will be used. If no default_caption is provided, the training will fail.

stepsintegerdefault: 1000

Total number of training steps.

learning_ratenumberdefault: 0.00005

Learning rate applied to trainable parameters.

default_captiontextarea

Default caption to use when caption files are missing. If None, missing captions will cause an error.

output_lora_formatselectdefault: "fal"

Dictates the naming scheme for the output weights

Options: fal, comfy

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