[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 ...

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 ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

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 ...