[INFO ] model.cpp:2383 - unknown tensor 'text_encoders.t5xxl.transformer.decoder.block.0.layer.0.SelfAttention.k.weight | f32 | 2 [512, 384, 1, 1, 1]' in model file ...

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...

Advance in optical computing may lead to ultrafast and secure image generators while using less energy. (Nanowerk News) Today’s popular chatbots and image generators have a severe downside for the ...

Artificial intelligence has dazzled the world with its ability to create pictures, words, and even music from scratch. But behind the magic lies a hidden cost. Training and running today’s most ...

Abstract: In this paper, disruptive research using generative diffusion models (DMs) with an attention-based encoder-decoder backbone is conducted to automate the sizing of analog integrated circuits ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...

Thank you very much for your outstanding work! However, when I tried to use ImageVAE-MCRAFT on HF, I encountered a model mismatch issue. My command line is as follows: python -m main ...