gradio
| serverless-template-stable-diffusion | gradio | |
|---|---|---|
| 2 | 116 | |
| 88 | 28,987 | |
| - | 3.7% | |
| 1.7 | 9.9 | |
| 11 months ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
serverless-template-stable-diffusion
gradio
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AI enthusiasm #9 - A multilingual chatbot📣🈸
gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)
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Show HN: Dropbase – Build internal web apps with just Python
There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.
It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.
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Show HN: Taipy – Turns Data and AI algorithms into full web applications
What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/gradio-app/gradio
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a Lightweight AI Model and Framework for Text Summarization in the Browser using JavaScript
There's TensorFlow.js for running machine learning on JavaScript, but personally, I'd prefer using the Python Gradio package, which is designed for creating UIs for machine learning inference demos.
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Gradio sharable link expires too soon ( 30 mins to 1 hour, instead of lasting 72 hours )
I found an issue on gradio github but looks like it's closed so I am not sure if it's still a common issue or only I am facing it due to certain settings/absence of a fix. ( https://github.com/gradio-app/gradio/issues/3060 )
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I gave commit rights to someone I didn't know
I disagree hard with this – for instance I've recently needed to dig into the code for the Gradio library, and when PRs are like https://github.com/gradio-app/gradio/pull/3300 (and the merge commit's message is what it is) it's hard to understand why some decisions have been made when doing `git annotate` later on.
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Introducing CommanderGPT. A project I been working for Desktop Automation.
Gradio for a ui that your commanderGPT can visit and use
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[HELP] Anybody know where the .html files are?
gradio is documented, it doesn't seem very complex, it would be something like moving this block under the other one. i think it's ui_extra_networks.py, the file you are looking to edit. (if you do it make a copy to restore when you go to update)
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Is there a way to "share" my stable diffusion with a friend?
Gradio did have an issue for a while where your URL was guessable, so unless you had a password it was pretty easy to find, but as far as I know they've increased the complexity so much that it's no longer an issue.
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
streamlit - Streamlit — A faster way to build and share data apps.
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stablediffusion-interpolation-tools
django-colorfield - :art: color field for django models with a nice color-picker in the admin.
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
panel - Panel: The powerful data exploration & web app framework for Python
stablediffusion-interpolat
gpt4all - gpt4all: run open-source LLMs anywhere
CustomTkinter - A modern and customizable python UI-library based on Tkinter
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.