Explorador de datos por OSS Insight
¿Qué es Explorador de datos por OSS Insight?
El Explorador de datos por OSS Insight es una herramienta de consulta impulsada por GPT para la exploración de datos en vivo de GitHub. Simplemente haga su pregunta en lenguaje natural y Data Explore generará SQL, consultará los datos y presentará los resultados de forma visual.
¿Cómo usar Explorador de datos por OSS Insight?
Para usar Data Explorer, simplemente ingrese su pregunta o consulta en lenguaje natural. La herramienta generará la consulta SQL correspondiente y recuperará los datos de GitHub. Los resultados se mostrarán en un formato visual para facilitar la comprensión y el análisis.
Características principales de Explorador de datos por OSS Insight
Herramienta de consulta impulsada por GPT
Exploración de datos en vivo de GitHub
Consulta en lenguaje natural
Generación de SQL
Visualización de datos
Casos de uso de Explorador de datos por OSS Insight
Data Explorer se puede utilizar para diversos fines, como analizar la actividad de los desarrolladores, rastrear las tendencias de los repositorios, monitorear eventos como las solicitudes de extracción y los problemas, y obtener información sobre la comunidad de GitHub.
FAQ de Explorador de datos por OSS Insight
¿Qué es OSS Insight?
¿Cómo genera Data Explorer consultas SQL?
¿Puedo personalizar la presentación visual de los resultados?
¿Data Explorer es compatible con otras bases de datos?
Explorador de datos por OSS Insight Correo electrónico de soporte, contacto de servicio al cliente, contacto de reembolso, etc.
Aquí está el correo electrónico de soporte de Explorador de datos por OSS Insight para el servicio de atención al cliente: ossinsight@pingcap.com.
Explorador de datos por OSS Insight empresa
Explorador de datos por OSS Insight Nombre de la empresa: PingCAP .
Explorador de datos por OSS Insight Dirección de la empresa: 440 N Wolfe Rd Sunnyvale, CA 94085 USA.
Más información sobre Explorador de datos por OSS Insight, visite la página acerca de nosotros(https://ossinsight.io/docs/about) .
Twitter de Explorador de datos por OSS Insight
Enlace de Twitter de Explorador de datos por OSS Insight: https://twitter.com/OSSInsight
Github de Explorador de datos por OSS Insight
Enlace de Github de Explorador de datos por OSS Insight: https://github.com/pingcap/ossinsight
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Turn Data into Insights in Just 10 Mins with GPTs & APIs
This 10-min video shows the step-by-step process of how we unlocked custom GPTs and API integrations to harness our data analytics tools and generating in-depth insights. See how we built a real-world GPT app - you can too. #GPTs #API #AppDevelopment #Developers #ChatGPT #AI #NoCode Here's what you'll get: 00:00 Introduction 01:43 Create and configure GPTs 03:50 Integrate GPTs with OSSInsight Charting API & GitHub REST API 06:47 Integrate GPTs with DataAPI: Turn Data to HTTP APIs with a few configurations 08:55 Get in-depth data insights from this no-code data app 10:24 Wrap up Bonus: For an in-depth walkthrough, check our blog! Free cheat sheets pack included! 👉 http://bit.ly/48nJ1hL APIs: In this video, we used a combination of public and private APIs to level up the data integration and analysis: 1. Public APIs: - GitHub API: api.github.com. - OSSInsight Chart API: OSSInsight.io analyzes 6+ billion rows of GitHub data to provide open-source insights. We used its 'Embed Real-time Widget' for star history charts (next.ossinsight.io). 2. Private API - TiDB Serverless: Our database choice, featuring a 'Data Service' that easily turn your data to HTTP API with SQLs only, making data expose more efficient. 👉 TiDB Serverless Data Service What's next: - Like and subscribe for our upcoming AI demos and data adventures! - Share this video with your fellow data enthusiasts! - Leave a comment below and tell us what you want to see next!
A simple comparison using SDXL model by Automatic1111 and ComfyUI-Before you start
Recently, the Stability AI team unveiled SDXL 1.0, an open model representing the next step in the evolution of text-to-image generation models. It's fully compatible with Automatic1111 and works seamlessly on ComfyUI as well. Currently, ComfyUI has become the second most popular app in the Stable Diffusion Ecosystem. However, there are few videos discussing the differences between these two applications. Here, we conducted tests on both systems to provide you with a clear and simple understanding of each. This way, you can gain more insights into these systems before delving into text-to-image generation. The ComfyUI system allows easy modification of settings, eliminating the need to download any extra models like LoRA or ControlNet. You can effortlessly use these models in both systems. While WebUI offers a straightforward way to use the SDXL model, it can be a bit slow, especially with older graphic cards. On the other hand, ComfyUI can generate images at a much faster pace. However, for beginners, it might be slightly more challenging to handle. Fortunately, you can use the PNG file containing almost all the necessary information to generate the image, significantly accelerating the learning process. Both applications excel at producing stunning and realistic images. Using only a few keywords, the generated image quality is truly astonishing. SDXL is a game-changer in the field of text-to-image generation. The EXCEL result is taken using set COMMANDLINE_ARGS=--xformers --no-half-vae in the webui-user.bat command line. When I add --medvram to this command line, it become set COMMANDLINE_ARGS=--xformers --medvram --no-half-vae The image generation speed increased dramatically. Thanks for Mr. Enricii comment. He pointed out it may help. In fact, it is really a lifesaver. I will make a corrected version soon. 📚 RESOURCES from the Internet Stability AI news https://stability.ai/blog/stable-diffusion-sdxl-1-announcement SDXL 1.0 base model on Huggingface https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/tree/main SDXL 1.0 refiner model on Huggingface https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/tree/main SDXL knowhow-workflow of the best way to test this model, a game changer https://youtu.be/dwGmJzOHa8Y ComfyUI on GitHub https://github.com/comfyanonymous/ComfyUI 7-zip open source compress software https://www.7-zip.org/ OSS Insight (Open Source Software Insight) https://ossinsight.io/collections/stable-diffusion-ecosystem/ ComfyUI workflow file https://drive.google.com/file/d/1hrnv842kJR4aebQuzPA7-LboutJ5PKb4/view?usp=sharing Subscribe to my channel https://youtube.com/@tubeunderdeveloped Now you can download more than 120 unique models for free https://www.thingiverse.com/zhwang168/designs Twitter https://twitter.com/play4fun168 Facebook http://facebook.com/zhwang168 #TubeUnderdeveloped #Howto #3dPrinting #AICorner
How to Use Stable Diffusion ComfyUI-from Zero to Hero
Following the official release of the SDXL 1.0 model by the Stability AI team, one of the most eagerly anticipated additions was the integration of the ControlNet function. This significant enhancement became a reality with the introduction of the ControlNet Canny function. This milestone now allows us to fully unlock the potential of SDXL through the seamless amalgamation of ControlNet. This amalgamation is poised to surpass even the esteemed MidJournal, in any given scenario. Stable diffusion ComfyUI support stable diffusion in all case, including old 1.5 and 2.0 models, along with the SDXL models. Also, it supports the ControlNet function very well. Even though the whole ControlNet models have not yet been fully published, the preprocessors have already been prepared. However, usage of the ComfyUI is not as easy as Stable diffusion webui Automatic1111. This tutorial video tries to establish an essential fundamental background to understand the ComfyUI police and knowledge. After easy training, even a beginner can easily handle the complex ComfyUI workflow and understand the insight of the ComfyUI. All of us can generate stunning pictures as you desire. If this content helps you a little. Please subscribe to my channel. All original creations should have a good reply. CTRL+drag mouse area selection Shift+move mouse move selection together mouse middle scroll enlarge or shrink the whole workflow press left mouse and move, move whole workflow right click mouse, add node above the node, right click to shortcut option it will show different content depending on the main target CTRL+C copy the content CTRL+V paste the content CTRL+Shift+V paste the content with the link Double click mouse bring to search option CTRL+M mute the node, not run ComfyUI main homepage https://github.com/comfyanonymous/ComfyUI ComfyUI Manager https://github.com/ltdrdata/ComfyUI-Manager.git ComfyUI WAS extension (recommend install from ComfyUI manager) https://github.com/WASasquatch/was-node-suite-comfyui ControlNet preprocessors (install from ComfyUI manager) Use ComfyUI Manager install (about 10G) Put your all AI project in one file-small trick increase the efficiency https://youtu.be/45tQ7OftAf8 I upload the workflow to Google Cloud: https://drive.google.com/drive/folders/1dH7L4BNgLqIljRyuMkEjK7Hy4HDcNp_G?usp=sharing A simple comparison using SDXL model by Automatic1111 and ComfyUI-Before you start https://youtu.be/GXA_FUnCEJk SDXL 1.0 Model with ControlNet Workflow - Official Canny Support https://youtu.be/p3Q78HXAeUY Stability AI news https://stability.ai/blog/stable-diffusion-sdxl-1-announcement OSS Insight (Open Source Software Insight) https://ossinsight.io/collections/stable-diffusion-ecosystem/ Subscribe to my channel https://youtube.com/@tubeunderdeveloped Now you can download more than 120 unique models for free https://www.thingiverse.com/zhwang168/designs Twitter https://twitter.com/play4fun168 Facebook http://facebook.com/zhwang168 #TubeUnderdeveloped #Howto #3dPrinting #AICorner
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