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#642 opened 13 days ago
by
nomoresquirrel
reacted to
abidlabs's
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4 days ago
Post
2978
JOURNEY TO 1 MILLION DEVELOPERS
5 years ago, we launched Gradio as a simple Python library to let researchers at Stanford easily demo computer vision models with a web interface.
Today, Gradio is used by >1 million developers each month to build and share AI web apps. This includes some of the most popular open-source projects of all time, like Automatic1111, Fooocus, Oobabooga’s Text WebUI, Dall-E Mini, and LLaMA-Factory.
How did we get here? How did Gradio keep growing in the very crowded field of open-source Python libraries? I get this question a lot from folks who are building their own open-source libraries. This post distills some of the lessons that I have learned over the past few years:
1. Invest in good primitives, not high-level abstractions
2. Embed virality directly into your library
3. Focus on a (growing) niche
4. Your only roadmap should be rapid iteration
5. Maximize ways users can consume your library's outputs
1. Invest in good primitives, not high-level abstractions
When we first launched Gradio, we offered only one high-level class (gr.Interface), which created a complete web app from a single Python function. We quickly realized that developers wanted to create other kinds of apps (e.g. multi-step workflows, chatbots, streaming applications), but as we started listing out the apps users wanted to build, we realized what we needed to do:
Read the rest here: https://x.com/abidlabs/status/1907886
5 years ago, we launched Gradio as a simple Python library to let researchers at Stanford easily demo computer vision models with a web interface.
Today, Gradio is used by >1 million developers each month to build and share AI web apps. This includes some of the most popular open-source projects of all time, like Automatic1111, Fooocus, Oobabooga’s Text WebUI, Dall-E Mini, and LLaMA-Factory.
How did we get here? How did Gradio keep growing in the very crowded field of open-source Python libraries? I get this question a lot from folks who are building their own open-source libraries. This post distills some of the lessons that I have learned over the past few years:
1. Invest in good primitives, not high-level abstractions
2. Embed virality directly into your library
3. Focus on a (growing) niche
4. Your only roadmap should be rapid iteration
5. Maximize ways users can consume your library's outputs
1. Invest in good primitives, not high-level abstractions
When we first launched Gradio, we offered only one high-level class (gr.Interface), which created a complete web app from a single Python function. We quickly realized that developers wanted to create other kinds of apps (e.g. multi-step workflows, chatbots, streaming applications), but as we started listing out the apps users wanted to build, we realized what we needed to do:
Read the rest here: https://x.com/abidlabs/status/1907886
reacted to
openfree's
post with 🔥
4 days ago
Post
6406
🔥 'Open Meme Studio': Your Creative Meme Factory 🎭✨
Hello everyone! Today I'm introducing 'Open Meme Studio', an amazing space where you can easily create and transform fun and original meme images. 🚀
VIDraft/Open-Meme-Studio
🎯 Taking Meme Creation to the Next Level!
This application leverages the powerful Kolors model and IP-Adapter-Plus to upgrade your meme-making abilities. Go beyond simple image editing and experience a completely new meme world powered by AI!
🛠️ Features You'll Love
📸 Transform and reinterpret existing meme templates
🎭 Freely change expressions and poses
👓 Add props (sunglasses, hats, etc.)
🏞️ Change backgrounds and composite characters
🎨 Apply various artistic styles
💪 Why 'Open Meme Studio' is So Effective
Fast Meme Generation: High-quality memes completed in seconds
Unlimited Creativity: Completely different results just by changing prompts
User-Friendly Interface: Simple prompt input and image upload is all you need
Fine-tuned Control: Adjust how much of the original image characteristics to preserve
Advanced User Options: Freely set seed values, resolution, number of steps, and more
🚀 Streamlined Meme Creation Process
Tasks that previously required complex tools like Photoshop can now be accomplished with just a few simple prompts. Experience intuitive image manipulation through text commands.
🌈 Effective Prompt Examples
😎 "sunglass" - Add cool sunglasses to your character
🏔️ "background alps" - Change the background to Alpine mountains
💃 "dancing" - Transform your character into a dancing pose
😁 "smile" - Change to a smiling expression
🎮 "with Pikachu" - Create a scene with Pikachu
🎨 "3d style" - Convert to 3D style
🔗 Join Our Community
For more meme creation tips and interaction with other users, join our Discord!
https://discord.gg/openfreeai
Start creating unique memes that will shake up social media with 'Open Meme Studio' right now! 🚀💯 It's time for your meme
Hello everyone! Today I'm introducing 'Open Meme Studio', an amazing space where you can easily create and transform fun and original meme images. 🚀
VIDraft/Open-Meme-Studio
🎯 Taking Meme Creation to the Next Level!
This application leverages the powerful Kolors model and IP-Adapter-Plus to upgrade your meme-making abilities. Go beyond simple image editing and experience a completely new meme world powered by AI!
🛠️ Features You'll Love
📸 Transform and reinterpret existing meme templates
🎭 Freely change expressions and poses
👓 Add props (sunglasses, hats, etc.)
🏞️ Change backgrounds and composite characters
🎨 Apply various artistic styles
💪 Why 'Open Meme Studio' is So Effective
Fast Meme Generation: High-quality memes completed in seconds
Unlimited Creativity: Completely different results just by changing prompts
User-Friendly Interface: Simple prompt input and image upload is all you need
Fine-tuned Control: Adjust how much of the original image characteristics to preserve
Advanced User Options: Freely set seed values, resolution, number of steps, and more
🚀 Streamlined Meme Creation Process
Tasks that previously required complex tools like Photoshop can now be accomplished with just a few simple prompts. Experience intuitive image manipulation through text commands.
🌈 Effective Prompt Examples
😎 "sunglass" - Add cool sunglasses to your character
🏔️ "background alps" - Change the background to Alpine mountains
💃 "dancing" - Transform your character into a dancing pose
😁 "smile" - Change to a smiling expression
🎮 "with Pikachu" - Create a scene with Pikachu
🎨 "3d style" - Convert to 3D style
🔗 Join Our Community
For more meme creation tips and interaction with other users, join our Discord!
https://discord.gg/openfreeai
Start creating unique memes that will shake up social media with 'Open Meme Studio' right now! 🚀💯 It's time for your meme
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reacted to
etemiz's
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11 days ago
Post
1935
Latest DeepSeek V3 0324 did better than previous version in many domains such as health, nutrition, fasting, bitcoin.
Who wants to see some example change of answers between the two models?
https://sheet.zoho.com/sheet/open/mz41j09cc640a29ba47729fed784a263c1d08
Who wants to see some example change of answers between the two models?
https://sheet.zoho.com/sheet/open/mz41j09cc640a29ba47729fed784a263c1d08
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daavoo's
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18 days ago
Post
2011
🤖 🗺Mapped all(?) the swimming pools ️🏊 around another town with https://github.com/mozilla-ai/osm-ai-helper.
This time, I have mapped and contributed to https://www.openstreetmap.org more than 100 swimming pools around my wife's hometown. Only took about 20min to find them all (+~3 min verification) in a free Colab GPU🚀
Try it yourself around a single point: mozilla-ai/osm-ai-helper
This time, I have mapped and contributed to https://www.openstreetmap.org more than 100 swimming pools around my wife's hometown. Only took about 20min to find them all (+~3 min verification) in a free Colab GPU🚀
Try it yourself around a single point: mozilla-ai/osm-ai-helper
liked
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24 days ago
reacted to
Jaward's
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24 days ago
Post
1915
This is the most exciting of this week’s release for me: Gemini Robotics - A SOTA generalist Vision-Language-Action model that brings intelligence to the physical world. It comes with a verifiable real-world knowledge Embodied Reasoning QA benchmark. Cool part is that the model can be specialized with fast adaptation to new tasks and have such adaptations transferred to new robot embodiment like humanoids. Looking forward to the model and data on hf, it’s about time I go full physical:)
Technical Report: https://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf
Technical Report: https://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf
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