Add model card

This PR adds a model card for the ICTone-Fill-LoRA model, including the appropriate metadata (`image-to-image` pipeline tag, `diffusers` library, and non-commercial license). It also links the paper, project page, GitHub repository, and provides the inference usage example from the GitHub README.

README.md

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+---
+license: other
+library_name: diffusers
+pipeline_tag: image-to-image
+---
+
+# ICTone-Fill-LoRA
+
+This repository contains the LoRA weights for **ICTone** (ECCV 2026), described in the paper [Towards In-Context Tone Style Transfer with a Large-Scale Triplet Dataset](https://huggingface.co/papers/2604.16114). ICTone performs reference-based tone style transfer by jointly conditioning on the content and reference images with a diffusion transformer (FLUX.1-Fill).
+
+- Project page: [https://dengyuhai.github.io/ICTone_Project/](https://dengyuhai.github.io/ICTone_Project/)
+- Code: [https://github.com/dengyuhai/ICTone](https://github.com/dengyuhai/ICTone)
+- Dataset: [TST100K](https://huggingface.co/datasets/ToneStyle/TST100K)
+- Benchmark: [TST2K](https://huggingface.co/datasets/ToneStyle/TST2K)
+- Online demo: [https://huggingface.co/spaces/ToneStyle/ICTone-Fill](https://huggingface.co/spaces/ToneStyle/ICTone-Fill)
+
+## Usage
+
+The following inference example is taken from the GitHub README:
+
+```bash
+CUDA_VISIBLE_DEVICES=0 python inference.py \
+    --content   assets/example_content.png \
+    --reference assets/example_reference.png \
+    --flux-path black-forest-labs/FLUX.1-Fill-dev \
+    --lora-path ToneStyle/ICTone-Fill-LoRA \
+    --output-file ./output/example_output.png \
+    --num-inference-steps 4 \
+    --guidance-scale 50.0 \
+    --seed 666
+```
+
+For full training and evaluation instructions, please refer to the [GitHub repository](https://github.com/dengyuhai/ICTone).
+
+## License
+
+Non-commercial research use only. See the repository and paper for details.