Stability
DALL-E
OpenAI
Replicate.com
RenderAI
Ollama
ChatGPT
Civitai
Bitrise
CircleCI
Jenkins
Travis CI
Codeship
Bamboo
TeamCity
Azure DevOps
Over 45000 mobile app developers rely on Bitrise to automate the build-, test- and deploy process for their applications, allowing for rapid iteration, better apps, faster product-market fit and overall increased productivity. With customers ranging from single person work-for-hire studios, to billion dollar enterprise companies, Bitrise has enabled the successful deployment of millions of app builds. Customer include chart-toppers like Runkeeper, Grindr, Duolingo and more.
Stability BitriseNo features have been listed yet.
Based on our record, Bitrise should be more popular than Stability. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Maybe you're unfamiliar with diffusion models?[1] They are examples where it is hopefully clearer that these things are hard to define. If you have good programming skills you should be able to make the connection back to what this has to do with my point. If not, I'm actually fairly confident GPT will be able to do so. There's more than enough in its training data to do that. [0]... - Source: Hacker News / about 1 year ago
Let's introduce Stable Diffusion, a family of models for image generation. It began in Germany as a collaboration between various companies and universities in 2021, focusing on the innovation called the latent diffusion model. Companies like Runway and EleutherAI participated in the project. Initially, Stability AI contributed computing resources, later hiring many of the original researchers, and is now the... - Source: dev.to / over 1 year ago
Recently, Stability AI introduced Stable Diffusion 3.5. - Source: dev.to / over 1 year ago
Have you ever used AI tools like ChatGPT to chat with a robot or Stable Diffusion to generate unique images? Wondered how they work? - Source: dev.to / about 2 years ago
Keeping a mobile app in a releasable state at all times can be tricky with app store submission cycles (Google Play reviews can take well over a week in some cases), but tools like Bitrise and Fastlane can automate much of the release process. - Source: dev.to / over 1 year ago
Some time ago we had a client that asked us to migrate his whole mobile CI/CD flow from Bitrise to GitHub actions. The project was a React Native, iOS-targeted application. - Source: dev.to / almost 3 years ago
In this article, we briefly discussed some popular CI/CD platforms for React Native and why they are crucial in the programming world. We also included some honorable mentions, Jenkins CI and Bitrise, in our comparison table. It is important to remember that every project is different, and therefore it is important to evaluate each toolโs advantages and disadvantages. - Source: dev.to / almost 3 years ago
Unified both iOS and Android building to bitrise for our mobile build pipeline. Much better than the older Buddy Build system which was purchased by Apple, put into hibernation, and then shut down by Apple. - Source: dev.to / about 3 years ago
Bitrise: Bitrise is a CI/CD platform specifically designed for mobile app development. It offers a range of pre-configured workflows and integrations with popular development tools, making it an excellent choice for junior developers working on mobile projects. - Source: dev.to / about 3 years ago
DALL-E - Creating images from text, from Open AI
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
OpenAI - GPT-3 access without the wait
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Replicate.com - Run open-source machine learning models with a cloud API
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโs precision syntaxโall with the developer in mind.
