Show HN: 3.0 Version of Invoke AI – open-source SD UI and Node-based Back end [video] https://ift.tt/qBrva7m

Show HN: 3.0 Version of Invoke AI – open-source SD UI and Node-based Back end [video] Hey all - Invoke started as one of the earliest Stable Diffusion UIs (you may remember it as “lstein”), and has evolved significantly into a full fledged react/typescript web app. We’ve been hard at work building a professional-grade backend to support our commercial move to serving businesses and enterprise with a hosted offering (invoke.ai), while keeping Invoke one of the best ways to self-host and create content as an open-core project. As of 3.0, all of the developments we’ve been working on and tweaking for our hosted environment are available to install and use locally, including an API and graph-based execution architecture - And, to demonstrate our commitment to free and open-source software, we’ve updated our license to the most explicitly permissive license available - Apache 2.0. — New SD Support in our 3.0 Version: - SDXL Support - We’ve implemented support the impending SDXL model architecture (And the current 0.9 model), and we’ll follow-up with streamlined SDXL support in the core UI interfaces once the 1.0 model is released. - ControlNet - Integrated support for the most popular ControlNet models, directly in the UI, with a simple processor preview and UI/UX. - Boards - Expanded gallery support to better organize and manage large scale images. Multi-select, drag & drop to anywhere in the UI, and backed by a local database to provide performant operations even when you’re thousands of images deep. - Expanded Schedulers - Rather than list all of them here… All the schedulers/samplers you know and love, with the ability to set favorites and disable those you’ll never use. - Model Flexibility - Swap your VAE on demand. Mix and match models as needed. Clip Skip. With the flexibility of the experimental Node Editor, you can even swap models mid-generation. - LoRA Enhancements - Full LoRA support (for all the Lo’s and Ly’s you can name), we’ve also added a mechanism which directly patches the model UNet on loading a LoRA. Test for yourself. - UI/UX Updates - Across the board, we’ve worked to clean up the UI, optimize the options panel for the most commonly used features, and left a number of the tiny little microinteractions across the app that make using Invoke easy for your workflow. It’s our best UI yet, hands down. And more is coming. - Node Editor (Experimental) - The main reason 3.0 took as long as it did (5 months!) is because we disassembled the entire backend of the application, and put it back together one “node” at a time. It’s clean, streamlined, and scalable. This sets us up to drive powerful advanced experiences for power users and gives an easy way for contributors to extend the capabilities of Invoke. The Node Editor that exposes all of the available functionality in the background is in an “experimental” status, for explorers and developers - Mainly because we have a lot of UI/UX polish we want to apply to it, and provide better ways to help less experienced users be successful with it! — *Up Next* More is coming. We have plans to extend on many of the core UI/UX experiences in the application, add more community resources for sharing new plug-ins/nodes, and will release the full version of the Node Editor in 3.1. Stay tuned! –- Whether you're a dev looking to build on or contribute to the project, a professional looking for pro-grade tools to incorporate into your workflow, or just looking for a great open-source SD experience, we're looking forward to you joining our community. You can get the latest version on GitHub https://ift.tt/xeAqhcj https://www.youtube.com/watch?v=A7uipq4lhrk July 21, 2023 at 10:33PM

Show HN: Open Video Game Data: A new approach to evaluating games https://ift.tt/JYMpHZj

Show HN: Open Video Game Data: A new approach to evaluating games > Introduction Our idea is to offer an alternative to well-known sites like Metacritic and OpenCritic, but with a different approach. Instead of being a score aggregator, we will be a list aggregator. Metacritic brings together reviews from multiple review sites in one place, providing a final score of 0-100 based on a weighted arithmetic average, where some critics carry more weight than others. An alternative to Metacritic is OpenCritic, where all critics are weighted equally in the final average. However, both still work with numeric scores. > Why relying on scores can be problematic? - Ratings only reflect the state of the game at launch Today, more than ever, games are constantly evolving. It is common to have "patch day one", that is, games released with bugs and incomplete content. However, with time and help from the community, these games can be improved, as was the case with No Man's Sky. When No Man's Sky was released in 2016, its average on Metacritic was just 61, due to the troubled release. However, over the years, the game has evolved significantly with updates, but its Metacritic score remains frozen at 61. Alternative: As the lists are constantly evolving and updating, they more accurately reflect the current quality of the games, tracking their improvements and changes over time. - The average score can be unfair as it is based on the amount of critics Sometimes, the amount of crits heavily influences a game's rating. An example of this is The Legend of Zelda: Ocarina of Time, with an average of 99 on Metacritic, based on 22 critics. While The Legend of Zelda: Breath of the Wild averages a 97, based on 109 critics. Getting a high average based on a large number of critics is extremely difficult, and this can influence the overall perception of a game. Alternative: When a final list is created, all games have an equal chance of appearing in different lists. For example, game A might be included in 3 out of 11 lists, while game B might be mentioned in 5 out of 11 lists. The total amount of lists will always be the same for all games. - Relying on an average can be inaccurate Metacritic converts the different rating scales of review sites into a single percentage-based quantitative scale. However, this conversion can be inaccurate and unfair, as each site uses different rating systems. This approach can result in important information being lost during conversion, affecting the accuracy of the final result. Alternative: With our ranked lists approach, we eliminate the need to convert rating systems, as all lists, regardless of site, follow the same common logic. In all lists, there will always be first place, second place, and so on. > A great alternative: *Open Video Game Data* Our site aims to be just another alternative to note-based sites. Our approach to aggregating lists allows users to have a more comprehensive and up-to-date view of games as these lists are constantly updated by the community. The calculation method is quite simple and transparent. All lists on the site have a maximum size of 15 games. When a game ranks first in a list, it is rewarded with 15 points, while if it ranks last, it only receives 1 point. > Conclusion Open Video Game Data seeks to provide gamers and game enthusiasts with a reliable tool to make informed decisions about which games to play, taking into account critics' opinions and the ongoing evolution of the gaming industry. With the active participation of the community, users can add critic lists and can also create personal lists that are also aggregated, we hope to build an inclusive and reference platform for the gaming community, promoting a more complete and updated analysis about the games that so much we love. Come be part of our community! Create an account and join us to explore the world of playlists. Welcome to Open Video Game Data! Visit us at: https://ift.tt/xoEZwUe July 21, 2023 at 05:56AM

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://ift.tt/TER9mSU

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://ift.tt/AhpyVxM July 21, 2023 at 04:10AM

Show HN: Spends https://ift.tt/hQ3MdFR

Show HN: Spends https://www.spends.ca July 21, 2023 at 02:03AM

Show HN: Outer Space Shack, a realistic space base building game https://ift.tt/48Jr9d3

Show HN: Outer Space Shack, a realistic space base building game https://ift.tt/LoiMgyI July 21, 2023 at 01:47AM

Show HN: Jnigen – Experimental Java interop for Dart / Flutter on Android https://ift.tt/25u7O8L

Show HN: Jnigen – Experimental Java interop for Dart / Flutter on Android https://ift.tt/RgulNEx July 20, 2023 at 08:31PM

Show HN: Make Matrix Google-Searchable (Linen.dev) https://ift.tt/NfjsQY6

Show HN: Make Matrix Google-Searchable (Linen.dev) https://ift.tt/QZ9ovPz July 20, 2023 at 12:38AM