gpt-engineer
ml-stable-diffusion
gpt-engineer | ml-stable-diffusion | |
---|---|---|
44 | 45 | |
50,698 | 16,271 | |
1.5% | 1.5% | |
9.9 | 7.4 | |
6 days ago | 14 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpt-engineer
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🚀 7 AI Tools to Improve your productivity: A Deep Dive 🪄✨
2️⃣ GPT-engineer 🧪
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Ask HN: Will AI take no-code to the next level?
you should check out this:
https://github.com/AntonOsika/gpt-engineer
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Ask HN: How can ChatGPT be effectively utilized in the work
3. https://github.com/AntonOsika/gpt-engineer
- GPT Engineer
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[P] Looking for a new problem to solve with LLMs and AI.
Framework to Generate HQ code (I'm a mod at gpt-engineer)
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GPT-Prompt-Engineer
BTW, GPT-Engineer is openly collecting all of your data: user prompts and other metadata. And they were even defending it until they received some strong responses from the community: https://github.com/AntonOsika/gpt-engineer/issues/415 They now explicitly ask for consent regarding user data, but can we really trust their motives?
- Ai create entire project
- GPT-Engineer – Specify what you want it to build, the AI builds it
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I'm creating a GPT3.5-based javascript Game Engine
You might be interested in gpt-engineer https://github.com/AntonOsika/gpt-engineer
- GPT-Engineer
ml-stable-diffusion
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Show HN: Run Stable Diffusion Directly on iPhone
Not sure how that got in here. Apple released CoreML Stable Diffusion library a little over a year ago [1]. Hugging Face released their version of the example app for the CoreML Stable Diffusion library [2].
The app should be able to run on iPhone 14 Pro, I believe the requirements is about 6-8Gb of RAM. And I was not able to run it on iPhone 13 Mini, because it has only 4Gb of RAM.
- [1] https://github.com/apple/ml-stable-diffusion
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Apple releases MLX; has working Stable Diffusion example
Where are you seeing a Stable Diffusion example? I'm familiar with Apple's CoreML Implementation of StableDiffusion, but is there something else in the SD world available for download now as part of MLX?
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Stable Diffusion XL on iPhone with Core ML
Other features and improvements to the repo https://github.com/apple/ml-stable-diffusion
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FLaNK Stack Weekly for 20 June 2023
M1! https://github.com/apple/ml-stable-diffusion
- Apple Introduces M2 Ultra with up to 192GB Unified Memory - LLM powerhouse?
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Need help choosing between two laptops
M2 MBA can run Stable Diffusion and LLaMa comfortably, which means generating your potential game/image asset locally. They're pretty much impractical in 7340.
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Speed Is All You Need: On-Device Acceleration of Large Diffusion Models
Interestingly these are OpenCL kernels so in theory some of the optimizations might run out-of-the-box on CPUs.
It would be instructive to compare their speedups on the iPhone to the Apple CoreML implementation: https://github.com/apple/ml-stable-diffusion
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Is it worth buying a used M1 Mac for stable diffusion when you have iPad M1 but Intel Mac
Stable Diffusion runs great on my M1 Macs. The Draw Things app makes it really easy to run too. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. This actual makes a Mac more affordable in this category because you don’t need to purchase a beefy graphics card. Not to mention that Apple has even optimized their software specifically for Stable Diffusion (related GitHub). Draw Things can take advantage of this. There’s a few guides to running the web UI on M1 too. I prefer the Draw Things app because of how easy it is to use, but the web UI is also nice because of all of the plugins and workflows that the community has built over time.
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Stable diffusion for Apple silicon
LINKS: ml-stable-diffusion: https://github.com/apple/ml-stable-diffusion Diffusers (HuggingFace Mac App): https://apps.apple.com/app/diffusers/id1666309574?mt=12
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Apple: Transformer architecture optimized for Apple Silicon
So, is Stable Diffusion working finally on TPU or not? DiffusionBee uses GPU and running this https://github.com/apple/ml-stable-diffusion with CPU_AND_NE just segfaults
What are some alternatives?
gpt-pilot - The first real AI developer
MochiDiffusion - Run Stable Diffusion on Mac natively
aider - aider is AI pair programming in your terminal
ml-ane-transformers - Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
MetaGPT - 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
developer - the first library to let you embed a developer agent in your own app!
pulsar-recipes - A StreamNative library containing a collection of recipes that are implemented on top of the Pulsar client to provide higher-level functionality closer to the application domain.
hive-metastore - Apache Hive Metastore as a Standalone server in Docker
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
StanfordQuadruped
stable-diffusion-webui - Stable Diffusion web UI