Continue.devContinue is an open-source autopilot tool for software development that can be used as a Visual Studio Code (VS Code) extension. It integrates ChatGPT's capabilities into the IDE, allowing developers to generate, refactor, and explain sections of code with ease.One of the key features of Continue is the ability to answer coding questions. By highlighting a section of code, developers can ask Continue for alternative perspectives on how to approach a coding problem. Examples of questions that can be asked include setting up a Prisma schema that cascades deletes, determining the appropriate location for making a backend request within a web page, or establishing communication between iframes.Continue also offers the ability to edit code using natural language commands. Developers can highlight a section of code and instruct Continue to refactor it according to specific requirements. For instance, they can ask Continue to change a plot into a bar chart in a dashboard component, rewrite a function to be asynchronous, or migrate a Digital Ocean Terraform file to one suitable for Google Cloud Platform.Furthermore, Continue allows developers to generate files from scratch. By opening a blank file, developers can prompt Continue to create new Python scripts, React components, and more. For example, they can ask Continue to write a connector for Postgres, create an IAM policy for read-only access to S3, or generate an SQL query to retrieve recently churned users.To stay updated with the latest developments, developers can subscribe to Continue's newsletter or join their Discord community. Continue is an open-source project maintained by Continue Dev, Inc.
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SDXL TurboSDXL Turbo is a new text-to-image generation model that utilizes a distillation technique called Adversarial Diffusion Distillation (ADD), allowing it to create image outputs in a single step. This real-time model maintains high sampling fidelity while significantly reducing the required step count from 50 to just one, resulting in improved efficiency.The distillation technique used in SDXL Turbo combines adversarial training and score distillation, as detailed in the research paper provided by Stability AI. This technique enables the model to generate image outputs with high quality and eliminates common issues such as artifacts and blurriness that may occur with other distillation methods.In performance comparisons with other diffusion models like StyleGAN-T++, OpenMUSE, IF-XL, SDXL, and LCM-XL, SDXL Turbo outperformed these models in terms of following the given prompt and image quality, even surpassing a 4-step configuration of LCM-XL with just a single step and a 50-step configuration of SDXL with only 4 steps. Its compatibility with Stability AI's image editing platform, Clipdrop, provides users with an opportunity to explore and test the capabilities of this real-time image generation model.Please note that SDXL Turbo is currently not intended for commercial use, and if you're interested in using this model for commercial purposes, you should contact Stability AI for further information.
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