Zhang Zechuan PRO

RiverZ

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3D Vision, Digital Human

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RiverZ's activity

reacted to their post with โค๏ธ 4 days ago
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5878
๐Ÿ”ฅ We're thrilled to share some exciting news about ICEdit! Currently, ICEdit app ( RiverZ/ICEdit) has soared to the second place on the weekly trend list of Hugging Face Space, just trailing behind Qwen3. What's more, it also holds the second position on the overall space trend list. This achievement wouldn't have been possible without your incredible support and love. A huge thank you to each and every one of youโค!

๐ŸŽ‰ The ICEdit community has been incredibly active, and we've seen a plethora of amazing ComfyUI workflows being shared. For instance, with the help of ComfyUI - nunchaku, you can run ICEdit locally with just 4GB of VRAM. This makes it much more accessible for those with limited hardware resources.

๐ŸŽ‡ If you're interested in the detailed information, please head over to our repository. We highly encourage you to give these workflows a try and explore the creative possibilities that ICEdit offers.

Github Repo: https://github.com/River-Zhang/ICEdit
Hugging Face Space: RiverZ/ICEdit
reacted to their post with ๐Ÿค— 6 days ago
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5878
๐Ÿ”ฅ We're thrilled to share some exciting news about ICEdit! Currently, ICEdit app ( RiverZ/ICEdit) has soared to the second place on the weekly trend list of Hugging Face Space, just trailing behind Qwen3. What's more, it also holds the second position on the overall space trend list. This achievement wouldn't have been possible without your incredible support and love. A huge thank you to each and every one of youโค!

๐ŸŽ‰ The ICEdit community has been incredibly active, and we've seen a plethora of amazing ComfyUI workflows being shared. For instance, with the help of ComfyUI - nunchaku, you can run ICEdit locally with just 4GB of VRAM. This makes it much more accessible for those with limited hardware resources.

๐ŸŽ‡ If you're interested in the detailed information, please head over to our repository. We highly encourage you to give these workflows a try and explore the creative possibilities that ICEdit offers.

Github Repo: https://github.com/River-Zhang/ICEdit
Hugging Face Space: RiverZ/ICEdit
posted an update 6 days ago
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Post
5878
๐Ÿ”ฅ We're thrilled to share some exciting news about ICEdit! Currently, ICEdit app ( RiverZ/ICEdit) has soared to the second place on the weekly trend list of Hugging Face Space, just trailing behind Qwen3. What's more, it also holds the second position on the overall space trend list. This achievement wouldn't have been possible without your incredible support and love. A huge thank you to each and every one of youโค!

๐ŸŽ‰ The ICEdit community has been incredibly active, and we've seen a plethora of amazing ComfyUI workflows being shared. For instance, with the help of ComfyUI - nunchaku, you can run ICEdit locally with just 4GB of VRAM. This makes it much more accessible for those with limited hardware resources.

๐ŸŽ‡ If you're interested in the detailed information, please head over to our repository. We highly encourage you to give these workflows a try and explore the creative possibilities that ICEdit offers.

Github Repo: https://github.com/River-Zhang/ICEdit
Hugging Face Space: RiverZ/ICEdit
reacted to sanaka87's post with ๐Ÿค— 8 days ago
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2653
Our ICEdit's video is below~
๐Ÿ”ฅ ๐Ÿ”ฅ๐Ÿ”ฅHuggingface DEMO: RiverZ/ICEdit
๐ŸŒ Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
๐Ÿ  GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
๐Ÿค— Huggingface: sanaka87/ICEdit-MoE-LoRA
๐Ÿ“„ arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)
reacted to their post with ๐Ÿ”ฅ๐Ÿค— 10 days ago
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2577
๐Ÿš€ Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer๏ฝž

๐ŸŽจ Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)


๐Ÿ”“ Code is now open source!
๐Ÿ”ฅ Huggingface DEMO:
RiverZ/ICEdit

๐ŸŒ Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
๐Ÿ  GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
๐Ÿค— Huggingface:
sanaka87/ICEdit-MoE-LoRA

๐Ÿ“„ arxiv Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)


๐Ÿ”ฅ Why itโ€™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 โ€” extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger โ€” think of it as the โ€œDeepSeek of image editingโ€ ๐Ÿ‘€

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video โ€” happy to send it your way!
posted an update 10 days ago
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Post
2577
๐Ÿš€ Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer๏ฝž

๐ŸŽจ Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)


๐Ÿ”“ Code is now open source!
๐Ÿ”ฅ Huggingface DEMO:
RiverZ/ICEdit

๐ŸŒ Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
๐Ÿ  GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
๐Ÿค— Huggingface:
sanaka87/ICEdit-MoE-LoRA

๐Ÿ“„ arxiv Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)


๐Ÿ”ฅ Why itโ€™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 โ€” extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger โ€” think of it as the โ€œDeepSeek of image editingโ€ ๐Ÿ‘€

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video โ€” happy to send it your way!
reacted to sanaka87's post with ๐Ÿ”ฅ 11 days ago
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Post
2480
๐Ÿš€ Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer๏ฝž

๐ŸŽจ Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

๐Ÿ”“ Code is now open source!
๐Ÿ”ฅ Huggingface DEMO: RiverZ/ICEdit
๐ŸŒ Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
๐Ÿ  GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
๐Ÿค— Huggingface: sanaka87/ICEdit-MoE-LoRA
๐Ÿ“„ arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

๐Ÿ”ฅ Why itโ€™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 โ€” extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger โ€” think of it as the โ€œDeepSeek of image editingโ€ ๐Ÿ‘€

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video โ€” happy to send it your way!
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reacted to abidlabs's post with ๐Ÿ”ฅ 11 days ago
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2528
Hi folks! Excited to share a new feature from the Gradio team along with a tutorial.

If you don't already know, Gradio is an open-source Python library used to build interfaces for machine learning models. Beyond just creating UIs, Gradio also exposes API capabilities and now, Gradio apps can be launched Model Context Protocol (MCP) servers for LLMs.

If you already know how to use Gradio, there are only two additional things you need to do:
* Add standard docstrings to your function (these will be used to generate the descriptions for your tools for the LLM)
* Set mcp_server=True in launch()


Here's a complete example (make sure you already have the latest version of Gradio installed):


import gradio as gr

def letter_counter(word, letter):
    """Count the occurrences of a specific letter in a word.
    
    Args:
        word: The word or phrase to analyze
        letter: The letter to count occurrences of
        
    Returns:
        The number of times the letter appears in the word
    """
    return word.lower().count(letter.lower())

demo = gr.Interface(
    fn=letter_counter,
    inputs=["text", "text"],
    outputs="number",
    title="Letter Counter",
    description="Count how many times a letter appears in a word"
)

demo.launch(mcp_server=True)



This is a very simple example, but you can add the ability to generate Ghibli images or speak emotions to any LLM that supports MCP. Once you have an MCP running locally, you can copy-paste the same app to host it on [Hugging Face Spaces](https://huggingface.co/spaces/) as well.

All free and open-source of course! Full tutorial: https://www.gradio.app/guides/building-mcp-server-with-gradio
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reacted to sanaka87's post with ๐Ÿ‘ 11 days ago
view post
Post
2480
๐Ÿš€ Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer๏ฝž

๐ŸŽจ Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

๐Ÿ”“ Code is now open source!
๐Ÿ”ฅ Huggingface DEMO: RiverZ/ICEdit
๐ŸŒ Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
๐Ÿ  GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
๐Ÿค— Huggingface: sanaka87/ICEdit-MoE-LoRA
๐Ÿ“„ arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

๐Ÿ”ฅ Why itโ€™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 โ€” extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger โ€” think of it as the โ€œDeepSeek of image editingโ€ ๐Ÿ‘€

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video โ€” happy to send it your way!
  • 1 reply
ยท