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谢集

sanaka87
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https://horizonwind2004.github.io/

AI & ML interests

Image Generation

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posted an update about 2 hours ago
Our ICEdit's video is below~ 🔥 🔥🔥Huggingface DEMO: https://huggingface.co/spaces/RiverZ/ICEdit 🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/ 🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py 🤗 Huggingface: https://huggingface.co/sanaka87/ICEdit-MoE-LoRA 📄 arxiv Paper: https://huggingface.co/papers/2504.20690
reacted to RiverZ's post with 🔥 1 day ago
🚀 Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer～ 🎨 Daily Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690) 🔓 Code is now open source! 🔥 Huggingface DEMO: RiverZ/ICEdit 🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/ 🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py 🤗 Huggingface: sanaka87/ICEdit-MoE-LoRA 📄 arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690) 🔥 Why it’s cool: - Achieves high-quality, multi-task image editing. - Uses only 1% of the training parameters and 0.1% of the training data compared to existing methods — extremely efficient - Beats several commercial models on background preservation, ID control, and consistency - Open-source, low-cost, faster, and stronger — think of it as the “DeepSeek of image editing” 👀 We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video — happy to send it your way!
reacted to RiverZ's post with 🤗 1 day ago
🚀 Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer～ 🎨 Daily Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690) 🔓 Code is now open source! 🔥 Huggingface DEMO: RiverZ/ICEdit 🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/ 🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py 🤗 Huggingface: sanaka87/ICEdit-MoE-LoRA 📄 arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690) 🔥 Why it’s cool: - Achieves high-quality, multi-task image editing. - Uses only 1% of the training parameters and 0.1% of the training data compared to existing methods — extremely efficient - Beats several commercial models on background preservation, ID control, and consistency - Open-source, low-cost, faster, and stronger — think of it as the “DeepSeek of image editing” 👀 We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video — happy to send it your way!
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🚀 Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer～

🎨 Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔓 Code is now open source!
🔥 Huggingface DEMO: RiverZ/ICEdit
🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
🤗 Huggingface: sanaka87/ICEdit-MoE-LoRA
📄 arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔥 Why it’s cool:
- Achieves high-quality, multi-task image editing.
- Uses only 1% of the training parameters and 0.1% of the training data compared to existing methods — extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger — think of it as the “DeepSeek of image editing” 👀

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video — happy to send it your way!
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