stable-diffusion-howto
gpt-2
stable-diffusion-howto | gpt-2 | |
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5 | 64 | |
41 | 21,319 | |
- | 1.6% | |
5.4 | 2.2 | |
about 2 months ago | 5 days ago | |
Python | ||
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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stable-diffusion-howto
- [Stable Diffusion] Nouveau guide pratiques de diffusion stable maintenant disponible sur GitHub!
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Zelda in a magical jar
Logistic Regression with Adversarial. Here is a how-to and some techniques explaining.
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New Stable Diffusion How-To Guide now available on GitHub!
I just published a new how-to guide on GitHub called Stable Diffusion How-To
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
- А здесь кто-нибудь умеет рисовать милые детские картинки?
gpt-2
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
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Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
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BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
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Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
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Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
What are some alternatives?
prolificdreamer - Official code of ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
dalle-mini - DALL·E Mini - Generate images from a text prompt
StableDiffusion-CheatSheet - A list of StableDiffusion styles and some notes for offline use. Pure HTML, CSS and a bit of JS.
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
civitai - A repository of models, textual inversions, and more
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
defuser - the Stable Diffusion Plugin for Photoshop and Krita
jukebox - Code for the paper "Jukebox: A Generative Model for Music"