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metadata
tags:
  - flux
  - image-to-image
  - lora
  - fal
  - diffusers
  - ilkerzgi
language: en
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: Make it metallic with a black background and a 3D perspective
license_name: flux1-dev-non-commercial-license
license_link: >-
  https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev/blob/main/LICENSE.md
license: other
widget:
  - src: images/input3.jpeg
    prompt: Make it metallic with a black background and a 3D perspective
    output:
      url: images/output3.jpeg
  - src: images/input2.jpg
    prompt: Make it metallic with a black background and a 3D perspective
    output:
      url: images/output2.jpeg
  - src: images/input5.jpg
    prompt: Make it metallic with a black background and a 3D perspective
    output:
      url: images/output5.jpeg
  - src: images/input7.jpg
    prompt: Make it metallic with a black background and a 3D perspective
    output:
      url: images/output7.jpeg

Metallic Objects Kontext Dev LoRA

This is a LoRA (Low-Rank Adaptation) model that has been trained to transform input images into a metallic style, featuring a black background and a 3D perspective.

Table of Contents

Model Details

Model Description: This model is a LoRA fine-tune of black-forest-labs/FLUX.1-Kontext-dev. It's designed to be used in an image-to-image pipeline to apply a specific artistic style. When prompted with "Make it metallic with a black background and a 3D perspective", it converts regular images into 3D-looking metallic objects on a dark background.

Uses

Direct Use

This model is intended to be used for artistic image generation. You can use it to apply a "metallic object" style to your own images. The model works best when using the trigger phrase: "Make it metallic with a black background and a 3D perspective".

Training

Training Data

I trained the model on a custom dataset of 20 paired (before and after) images of various objects to learn the "metallic" style transformation.

Training Procedure

I performed the training using the FLUX Kontext Trainer on fal.ai. The base model for training was black-forest-labs/FLUX.1-Kontext-dev.

Hyperparameters:

  • Learning Rate: 0.0001
  • Steps: 1300