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    ilkerzgi/metallic-objects-kontext-dev-lora - v3
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    # 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-details) - [Uses](#uses) - [Training](#training) ## 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](https://huggingface.co/ilkerzgi) * **Model Type:** LoRA for Image-to-Image generation * **Language(s):** English * **License:** [flux1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev/blob/main/LICENSE.md) * **Parent Model:** [black-forest-labs/FLUX.1-Kontext-dev](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev) * **Resources for more information:** * [Download the weights](https://huggingface.co/ilkerzgi/metallic-objects-kontext-dev-lora/resolve/main/metallic-objects-kontext-dev-lora.safetensors) * [Try the model directly on fal.ai](https://fal.ai/models/fal-ai/flux-kontext-lora?fromTraining=fe1a8832-be01-4df6-9b26-5dcbcde83d42) ## 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](https://fal.ai/models/fal-ai/flux-kontext-trainer/playground). The base model for training was `black-forest-labs/FLUX.1-Kontext-dev`. **Hyperparameters:** * **Learning Rate:** 0.0001 * **Steps:** 1300

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