https://github.com/TMElyralab/Comfyui-MusePose
a blog of links related to computer animation and production technology Sponsored by ReelMatters.com
Category: software
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The Three Laws of Software Code Complexity
https://maheshba.bitbucket.io/blog/2024/05/08/2024-ThreeLaws.html
- A well-designed system will degrade into a badly designed system over time.
- Complexity is a Moat (filled by Leaky Abstractions).
- There is no fundamental upper limit on Software Complexity.
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Godot Cheat Sheets
https://docs.godotengine.org/en/stable/tutorials/scripting/gdscript/gdscript_basics.html
https://www.canva.com/design/DAGBWXOIWXY/hW1uECYrkiyqs9rN0a-XIA/view?utm_content=DAGBWXOIWXY
https://www.reddit.com/r/godot/comments/18aid4u/unit_circle_in_godot_format_version_2_by_foxsinart/
Images in the post
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DreamWorks Animation to Release MoonRay as Open Source
https://www.awn.com/news/dreamworks-animation-release-moonray-open-source
MoonRay is DreamWorks’ open-source, award-winning, state-of-the-art production MCRT renderer, which has been used on feature films such as How to Train Your Dragon: The Hidden World, Trolls World Tour, The Bad Guys, the upcoming Puss In Boots: The Last Wish, as well as future titles. MoonRay was developed at DreamWorks and is in continuous active development and includes an extensive library of production-tested, physically based materials, a USD Hydra render delegate, multi-machine and cloud rendering via the Arras distributed computation framework.
Note: it does not support osl and usd handling is limited. Cycles may still be a fair alternative.
EDIT
MoonRay review: DreamWorks Animations’ superb rendering software is free for all
A high-performance Monte Carlo ray tracer that’s capable of both DreamWorks’ trademark stylised look and photorealism.
It has all the required features for that setup, including Arbitrary Output Variables (AOVs), which allow data from a shader or renderer to be output during rendering to aid compositing. Additionally, Deep Output and Cryptomatte are supported.
With support for OptiX 7.6 and GPU render denoising with Open Image Denoise 2, MoonRay is able to deliver particularly impressive results, especially when working interactively.
MoonRay has moved to a hybrid CPU and GPU rendering mode for its default state. It’s called XPU, and in many ways combines the best of both types of rendering workflow.
VFX Reference Platform 2023 is probably the biggest addition because it enables the use of MoonRay directly in Nuke 15.
MoonRay has already achieved great success with an array of feature films. Now the renderer is open source, the CG world can expect to see a whole new swathe of MoonRay-powered animations.
For
- Features for VFX workflows
- Open source
- XPU rendering
Against
- Designed for big studios
- Steep learning curve
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Flair.ai – The AI design tool for product photography
With an intuitive, user-friendly interface and a powerful AI engine, Flair AI can generate high-quality product photoshoots in seconds.
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EasyFrontend | 700+ Free UI Web Components with Code Editor
EasyFrontend offers a collection of UI Components, Blocks, and Sections built with HTML, React, Bootstrap, and Tailwind CSS to enable you to make a site in minutes.
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DocRes – Document and scans Image Restoration
DocRes is a new model that simplifies document image restoration by handling five tasks: dewarping, deshadowing, appearance enhancement, deblurring, and binarization within a single system.
https://github.com/zzzhang-jx/docres
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Apple launches Final Cut Camera app to support multicam productions
https://www.theverge.com/2024/5/7/24151109/apple-final-cut-camera-app-support-multicam-ipad
Apple has released Final Cut Camera for iPhone and iPad, allowing filmmakers to take video and stream it live back to an iPad for a multicam shoot. The updated Final Cut 2 app allows users to can control each Final Cut Camera-running device connected to it with a multiscreen view. Users can switch between production and editing anytime to live-cut their projects in the new version.
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Get the free daily email with summaries of the most interesting stories in startups, tech, and programming!
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Using Meta’s Llama 3 for your business
Meta is the only Big Tech company committed to developing AI, particularly large language models, with an open-source approach.
There are 3 ways you can use Llama 3 for your business:
1- Llama 3 as a Service
Use Llama 3 from any cloud provider as a service. You pay by use, but the price is typically much cheaper than proprietary models like GPT-4 or Claude.
→ Use Llama 3 on Azure AI catalog:
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/introducing-meta-llama-3-models-on-azure-ai-model-catalog/ba-p/41171442- Self-Hosting
If you have GPU infrastructure (on-premises or cloud), you can run Llama 3 internally at your desired scale.
→ Deploy Llama 3 on Amazon SageMaker:
https://www.philschmid.de/sagemaker-llama33- Desktop (Offline)
Tools like Ollama allow you to run the small model offline on consumer hardware like current MacBooks.
→ Tutorial for Mac:
https://ollama.com/blog/llama3
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