├── ComfyUI/models/ echo_mimic | ├── unet | ├── diffusion_pytorch_model.bin | ├── config.json | ├── audio_processor | ├── whisper_tiny.pt ├── ComfyUI/models/vae | ├── diffusion_pytorch_model.safetensors or rename sd-vae-ft-mse.safetensors ...
Pytorch implementation of a Variational Autoencoder trained on CIFAR-10. The encoder and decoder modules are modelled using a resnet-style U-Net architecture with residual blocks. - pi-tau/vae
The final step was to send the data to the Pytorch dataloader so that the models could be trained and validated for each experimental setting. During the training process, the transformations serve to supplement the data by changing each frame from real videos at each epoch with a random compon...
Finally, we examined the influence of dropout events on the performance of our scAGDE model. Like scRNA-seq, scATAC-seq is also plagued by “dropout” issues, resulting in a sparse and high-dimensional count matrix that complicates downstream analysis, as noted in reference25. To address this...
(VAE). Traditionally,ipex.optimize()is used to optimize each of these models. Now,torch.compilewith the Intel Extension for PyTorch back end can be used in conjunction withipex.optimize()for further improvement. This can be done by settingbackend=”ipex”as an input argument totorch.compile(...
After the source separation task is carried out on our song dataset, both the bass and drum waveforms are turned into the corresponding mel-spectrograms using PyTorch Audio.Footnote 1 PyTorch works very fast and is optimized to perform robust GPU-accelerated conversion. In addition, to reduce the...
然后,加载 LoRA 权重并将其与原始权重融合。lora_scale参数与上面的cross_attention_kwargs={"scale": 0.5}类似,用于控制多大程度上融合 LoRA 的权重。融合时一定要主要设置好这个参数,因为融合后就无法使用cross_attention_kwargs的scale参数来控制了。
The results of the DDI experiments are shown in Table 3. We find that MCL-DDI far exceeds the previous work in three different metrics. The performance of the model can indeed be effectively improved by multimodal and cross-attention learning of drugs. This also means that our model has ...
Caution: the NBA datasets were recorded in the unit of feet. Please refer to our paper for more details.PredictionsHeatmapAttentionDependenciesPytorch 1.11 Numpy 1.21We recommend to install all the requirements through Conda by$ conda create --name <env> --file requirements.txt -c pytorch -c ...
The main goal of this repo is to build an accessible diffusion model in PyTorch that is: fast (close to real time generation) small (~100MM params) reasonably good (of course not SOTA) can be trained in a reasonable amount of time on a single GPU (under 50 hours on an A100 or equi...