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.
- Trained by: ilkerzgi
- Model Type: LoRA for Image-to-Image generation
- Language(s): English
- License: flux1-dev-non-commercial-license
- Parent Model: black-forest-labs/FLUX.1-Kontext-dev
- Resources for more information:
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