#python#deep_learning#diffusion#flax#flux#hacktoberfest#image_generation#image2image#image2video#jax#latent_diffusion_models#pytorch#score_based_generative_modeling#stable_diffusion#stable_diffusion_diffusers#text2image#text2video#video2video
The Hugging Face Diffusers library is a powerful and easy-to-use tool for generating images, audio, and 3D molecular structures using advanced diffusion models. It offers ready-to-use pretrained models and flexible components like pipelines, schedulers, and model building blocks, allowing you to quickly create or customize your own diffusion-based projects. Installation is simple via pip or conda, and you can generate high-quality outputs with just a few lines of code. This library benefits you by making cutting-edge AI generation accessible, customizable, and efficient, whether you want to run models or train your own[1][2][5].
https://github.com/huggingface/diffusers
#Sentiment notes that the activity of #BTC discussion on social media has risen to a 4-month high, there is a serious panic among the crowd. Such depressive indicators in the moods usually preceded the rebounds.
⚡️ Sentiment notes a decrease in the number of wallets with a non-zero balance 🪙#BTC, which may mean that some participants will enter the cache before the US elections. The experts of #Sentiment consider this development of the situation to be #bullish for #BTC after the elections are held...
#Sentiment notes a sharp rise in bullish sentiment in #Solana
there are rumors that #Apple (#AAPL) is starting to use the Solana — Sentiment blockchain
🤣Ethereum Fear & Greed Index has dropped to 13, signaling Extreme Fear across the market.
市場情緒跌入 極度恐懼區間,代表短期資金風險偏好明顯下降,投資人情緒趨於保守。
#Crypto#以太坊#币圈#区块链
⚡️ 歷史上極度恐懼區域,往往出現在市場接近階段性底部時,但短線波動仍可能持續。
#Ethereum#Markets#Sentiment
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