lightning
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lightning | guided-diffusion | |
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50 | 14 | |
2,758 | 5,439 | |
1.0% | 2.9% | |
9.9 | 0.0 | |
1 day ago | about 1 year ago | |
C | Python | |
GNU General Public License v3.0 or later | 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.
lightning
- Opening channel from external wallet in Core Lightning
- Obtain gossip messages without node
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Craig falsely insists that the Lightning Network is infringing on nChain's patents for a CBDC
Wait until they realize Craig Wright's Cryptographic Proof was there all along.
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Lightning node on a pruned bitcoind
https://github.com/ElementsProject/lightning/issues/5310.
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Serious Question about Bitcoin
c-lightning, developed by [Blockstream]
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Run a node
LND - https://github.com/lightningnetwork/lnd CLN - https://github.com/ElementsProject/lightning
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📑 MiniBolt resources 📚 List of the MiniBolt core/bonus guides + latest versions
Core Lightning (CLN) v.22.11 (Released 30th November 2022) - https://github.com/ElementsProject/lightning/releases
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Can't open channels on my Linux VM Core Lightning implementation
I opened an issue on the Core Lightning repo. It has a complete list of the logs that were happening that caused the peer to drain and disconnect https://github.com/ElementsProject/lightning/issues/5816
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How to use the lightning network without apps.
A country can't stop you from running lnd or Core Lightning, so I'm not sure what you're talking about?
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⚡ RaspiBolt Improvement Proposals (RBIPs) & Bounties 💰
Power cuts can lead to node corruption (e.g. here)
guided-diffusion
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Why is there speculation that midjourney is based on stable diffusion if MJ is released earlier than SD?
People who made these colabs better and better also the same people who are at Midjourney now. But the "mother" of it all, was Katherine Crowson. She made a fine tuned model that uses a 512x512 unconditional ImageNet diffusion model fine-tuned from OpenAI's 512x512 class-conditional ImageNet diffusion model (https://github.com/openai/guided-diffusion) together with CLIP (https://github.com/openai/CLIP) to connect text prompts with images. It uses a smaller secondary diffusion model trained by Katherine Crowson to remove noise from intermediate timesteps to prepare them for CLIP.
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Any Tips on OpenAI's Guided Diffusion?
I am trying to use OpenAI's Guided Diffusion Github to train my own diffusion model. I thought to ask here to see if anyone had any experience with it as I've been having trouble training my own models on it. If anyone has any resources to point me towards it would be greatly appreciated!
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We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
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guided diffusion super resolution network training is diverging
I am working with guided diffusion. I would like to reproduce the results of the repository for the 64->256 super resolution network. https://github.com/openai/guided-diffusion
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New custom inpainting model
this code is (mostly) just the original openai guided diffusion code: https://github.com/openai/guided-diffusion
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Tips for Training Diffusion Model (DD) With Images and Resource Links
Starting resource, as it is all done through this code (information on how to do it on Colab is out there) https://github.com/openai/guided-diffusion
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What was Disco trained with?
Original notebook by Katherine Crowson (https://github.com/crowsonkb, https://twitter.com/RiversHaveWings). It uses either OpenAI's 256x256 unconditional ImageNet or Katherine Crowson's fine-tuned 512x512 diffusion model (https://github.com/openai/guided-diffusion), together with CLIP (https://github.com/openai/CLIP) to connect text prompts with images.
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[D] Diffusion Models Beat GANs on Image Synthesis Explained: 5-minute paper summary (by Casual GAN Papers)
Code for https://arxiv.org/abs/2105.05233 found: https://github.com/openai/guided-diffusion
- "Everything the AI can create" using diffusion model
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Since this sub has a fair portion of AI-generated images, have you guys seen OpenAI's guided diffusion models yet?
Paper, repo, Colab. It's really good.
What are some alternatives?
lnd - Lightning Network Daemon ⚡️
disco-diffusion
Eclair - A scala implementation of the Lightning Network.
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
umbrel - A beautiful home server OS for self-hosting with an app store. Buy a pre-built Umbrel Home with umbrelOS, or install on a Raspberry Pi 4, Pi 5, any Ubuntu/Debian system, or a VPS.
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
zeus - A mobile Bitcoin wallet fit for the gods. ⚡️ Est. 563345
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
RTL - Ride The Lightning - A full function web browser app for LND, C-Lightning and Eclair
ColossalAI - Making large AI models cheaper, faster and more accessible
raspiblitz - Get your own Bitcoin & Lightning Node running - on a RaspberryPi with a nice LCD
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch