Update README.md

README.md

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 license: mit
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 📢 [[Project Page](https://ali-vilab.github.io/In-Context-LoRA-Page/)] [[Github Repo](https://github.com/ali-vilab/In-Context-LoRA)] [[Paper](https://arxiv.org/abs/2410.23775)]
+# 🔥 Latest News
+
+- **[2024-11-16]** 🌟 The community continues to innovate with IC-LoRA! Exciting projects include models, ComfyUI nodes and workflows for **Virtual Try-on, Product Design, Object Mitigation, Role Play**, and more. Explore their creations in **[Community Creations Using IC-LoRA](#community-creations-using-ic-lora)**. Huge thanks to all contributors for their incredible efforts!
+
 # Model Summary
 
 In-Context LoRA fine-tunes text-to-image models (*e.g.,* [FLUX](https://huggingface.co/black-forest-labs/FLUX.1-dev)) to generate image sets with customizable intrinsic relationships, optionally conditioned on another set using SDEdit. It can be adapted to a wide range of tasks
 
 This model hub includes In-Context LoRA models across 10 tasks. [MODEL ZOO](#model-zoo) details these models and their recommend settings. For more details on how these models are trained, please refer to our [paper](https://arxiv.org/abs/2410.23775).
 
+## Key Idea
+
+The core concept of IC-LoRA is to **concatenate** both condition and target images into a single composite image while using **Natural Language** to define the task. This approach enables seamless adaptation to a wide range of applications.
+
+## Features
+
+- **Task-Agnostic Framework**: IC-LoRA serves as a general framework, but it requires task-specific fine-tuning for diverse applications.
+- **Customizable Image-Set Generation**: You can fine-tune text-to-image models to **generate image sets** with customizable intrinsic relationships.
+- **Condition on Image-Set**: You can also **condition the generation of a set of images on another set of images**, enabling a wide range of controllable generation applications.
+
+For more detailed information and examples, please read our [Paper](https://arxiv.org/abs/2410.23775) or visit our [Project Page](https://ali-vilab.github.io/In-Context-LoRA-Page/).
+
 ## MODEL ZOO
 
 Below lists 10 In-Context LoRA models and their recommend settings.
@@ -32,13 +48,30 @@ Below lists 10 In-Context LoRA models and their recommend settings.
 | **9. Sparklers Visual Effect** | [`sparklers-visual-effect.safetensors`](https://huggingface.co/ali-vilab/In-Context-LoRA/blob/main/sparklers-visual-effect.safetensors)      | `width: 960, height: 1088` | `[REAL-SPARKLERS-OVERLAYS] The two-part image vividly illustrates a woodland proposal transformed by sparkler overlays; [TOP] the first panel depicts a man kneeling on one knee with an engagement ring before his partner in a forest clearing at dusk, with warm, natural lighting, [BOTTOM] while the second panel introduces glowing sparklers that form a heart shape around the couple, amplifying the romance and joy of the moment.` |
 | **10. Visual Identity Design** | [`visual-identity-design.safetensors`](https://huggingface.co/ali-vilab/In-Context-LoRA/blob/main/visual-identity-design.safetensors)      | `width: 1472, height: 1024` | `The two-panel image showcases the joyful identity of a produce brand, with the left panel showing a smiling pineapple graphic and the brand name “Fresh Tropic” in a fun, casual font on a light aqua background; [LEFT] while the right panel translates the design onto a reusable shopping tote with the pineapple logo in black, held by a person in a market setting, emphasizing the brand’s approachable and eco-friendly vibe.` |
 
+## Community Creations Using IC-LoRA
+
+We are thrilled to showcase the community's innovative projects leveraging In-Context LoRA (IC-LoRA). If you have additional recommendations or projects to share, **please don't hesitate to send a [Pull Request](https://github.com/ali-vilab/In-Context-LoRA/pulls)!**
+
+| Project Name | Type                 | Supported Tasks                                                                 | Sample Results |
+|--------------|----------------------|---------------------------------------------------------------------------------|----------------|
+| 1. [Comfyui_Object_Migration](https://github.com/TTPlanetPig/Comfyui_Object_Migration) | ComfyUI Node & Workflow & LoRA Model         | Clothing Migration, Cartoon Clothing to Realism, and More     | ![Sample Result](./images/386534865-9612cf8a-858d-4684-819e-7b97981d993c.png) |
+| 2. [Flux Simple Try On - In Context Lora](https://civitai.com/models/950111/flux-simple-try-on-in-context-lora) | LoRA Model & ComfyUI Workflow     | Virtual Try-on             | ![Sample Result](./images/ComfyUI_temp_ditfb_00016_.jpeg) |
+| 3. [Flux In Context - visual identity Lora in Comfy](https://civitai.com/articles/8779) | ComfyUI Workflow               | Visual Identity Transfer              | ![Sample Result](./images/ComfyUI_00026_.jpeg) |
+| 4. [Workflows Flux In Context Lora For Product Design](https://civitai.com/models/933018/workflows-flux-in-context-lora-for-product-design) | ComfyUI Workflow               | Product Design, Role Play, and More              | ![Sample Result](./images/ComfyUI_temp_opjou_00016_.jpeg) |
+| 5. [Flux Product Design - In Context Lora](https://civitai.com/models/933026/flux-product-design-in-context-lora) | LoRA Model & ComfyUI Workflow               | Product Design              | ![Sample Result](./images/2024-11-10-002611_0.jpeg) |
+| 6. [In Context lora + Character story generator + flux+ shichen](https://civitai.com/models/951357/in-context-lora-character-story-generator-flux-shichen) | ComfyUI Workflow               | Character Movie Story Generator              | ![Sample Result](./images/role2story.jpeg) |
+| 7. [In- Context-Lora｜Cute 4koma 可爱四格漫画](https://civitai.com/models/947702/in-context-loracute-4koma) | LoRA Model & ComfyUI Workflow               | Comic Strip Generation              | ![Sample Result](./images/ComfyUI_00098_.jpeg) |
+| 8. [Creative Effects & Design LoRA Pack (In-Context LORA)](https://civitai.com/models/929592/creative-effects-and-design-lora-pack-in-context-lora) | LoRA Model & ComfyUI Workflow               | Movie-Shot Generation and More              | ![Sample Result](./images/film-storyboard-1.jpeg) |
+
+We extend our heartfelt thanks to all contributors for their exceptional work in advancing the IC-LoRA ecosystem.
+
 ## LICENSE
 
 This model hub uses FLUX as the base model. Users must comply with FLUX's license when using this code. Please refer to [FLUX's License](https://github.com/black-forest-labs/flux/tree/main/model_licenses) for more details.
 
 ## Citation
 
-If you find this model hub useful in your research, please consider citing:
+If you find this work useful in your research, please consider citing:
 
 ```bibtex
 @article{lhhuang2024iclora,
@@ -49,6 +82,15 @@ If you find this model hub useful in your research, please consider citing:
 }
 ```
 
+```bibtex
+@article{lhhuang2024iclora,
+  title={Group Diffusion Transformers are Unsupervised Multitask Learners},
+  author={Huang, Lianghua and Wang, Wei and Wu, Zhi-Fan and Dou, Huanzhang and Shi, Yupeng and Feng, Yutong and Liang, Chen and Liu, Yu and Zhou, Jingren},
+  journal={arXiv preprint arxiv:2410.15027},
+  year={2024}
+}
+```
+
 ## Download model
 
 Weights for these models are available in Safetensors format.