yangheng95 / superresolutionanimediffusion Goto Github PK

Super Resolution Anime Diffusion, waifu2x

Python 100.00%

anime anime-generation diffusion naifu stable-diffusion super-resolution

superresolutionanimediffusion's Introduction

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Hi there!

I am a PhD student at the University of Exeter. My research interests include biological sequence modeling, natural language processing, computer vision etc. Please find the details of my study in the following sections. Find me on GitHub or Google Scholar.

Research Topics

bio-RNA Sequence pretraining & modeling
Textual Adversarial Attack/Defense
Sentiment (Coherency) Analysis
Code language modeling
Diffusion models

First-author Publications

EACL 2024 Findings H Yang, K Li. Improving Implicit Sentiment Learning via Local Sentiment Aggregation

ACL 2023 Findings H Yang, K Li. Boosting Text Augmentation via Hybrid Instance Filtering Framework

EMNLP 2023 Findings H Yang, K Li. InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators

CIKM 2023 H Yang, K Li. PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

IEEE Trans. Softw. Eng. K Li, H Yang, W Visser. Evolutionary Multi-Task Injection Testing on Web Application Firewalls

J Supercomput B Zeng, H Yang, S Liu, M Xu. Learning for target-dependent sentiment based on local context-aware embedding

Neurocomputing H Yang, B Zeng, JH Yang, Y Song, R Xu. A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction

H Yang, K Li. Reactive Perturbation Defocusing for Textual Adversarial Defense (Preprint 2023)

B Zeng, H Yang, R Xu, W Zhou, X Han. LCF: A local context focus mechanism for aspect-based sentiment classification (Applied Sciences 2019).

K Li is my PhD's supervisor. B Zeng was my master's supervisor.

Co-authored Publications

Neurocomputing M Xu, B Zeng, H Yang, J Chi, J Chen, H Liu. Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification

Contributions on Huggingface:

Online Demos on Huggingface Space

Pretrained Models on Huggingface Space

Open-source Repositories

OmniGenome: OmniGenome: A Comprehensive Toolkit of Genomic Modeling and Benchmarking
PyABSA: State-of-the-art models and simplified interface for ABSA
FindFile: A simple tool to help find your file wherever it locates
Metric-Visualizer: Help you to easily and quickly make academic plots, e.g., box and trajectory plots
BoostAug: it can achieve at most 5% absolute improvement based on full-scale datasets for most models.
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators.
Adversarial defense: This work propose an effective adversarial defense method for textual adversarial defense.
ABSA DPT: This is a web-based ABSA dataset annotation tool that can help you easily make an ABSA dataset and train it using PyABSA.
[More works are going to be published]

Community Contribution

superresolutionanimediffusion's People

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webaverse samarsheikh001 frenzquin01 dander654 steluta01 xxxdeathsmokexxx

superresolutionanimediffusion's Issues

AttributeError: 'NoneType' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.

I get this error whenever I try to run app.py or interface.py

Console Output:

No CUDA GPU found in your device
D:\Users\tesok\anaconda3\lib\multiprocessing\pool.py:268: ResourceWarning: unclosed running multiprocessing pool <multiprocessing.pool.Pool state=RUN pool_size=1>
_warn(f"unclosed running multiprocessing pool {self!r}",
ResourceWarning: Enable tracemalloc to get the object allocation traceback
D:\Users\tesok\anaconda3\lib\site-packages\torchvision\transforms\functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
D:\Users\tesok\anaconda3\lib\site-packages\basicsr\metrics\niqe.py:5: DeprecationWarning: Please use convolve from the scipy.ndimage namespace, the scipy.ndimage.filters namespace is deprecated.
from scipy.ndimage.filters import convolve
Traceback (most recent call last):
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 354, in _check_seekable
f.seek(f.tell())
AttributeError: 'NoneType' object has no attribute 'seek'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "G:\Downloads\SuperResolutionAnimeDiffusion-main\SuperResolutionAnimeDiffusion-main\app.py", line 33, in
magnifier = ImageMagnifier()
File "G:\Downloads\SuperResolutionAnimeDiffusion-main\SuperResolutionAnimeDiffusion-main\Waifu2x\magnify.py", line 39, in init
torch.load(self.checkpoint, map_location="cpu")
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 791, in load
with _open_file_like(f, 'rb') as opened_file:
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 276, in _open_file_like
return _open_buffer_reader(name_or_buffer)
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 261, in init
_check_seekable(buffer)
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 357, in _check_seekable
raise_err_msg(["seek", "tell"], e)
File "D:\Users\tesok\anaconda3\lib\site-packages\torch\serialization.py", line 350, in raise_err_msg
raise type(e)(msg)
AttributeError: 'NoneType' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.

No module named 'RealESRGANv030'

When attempting to start:
python app.py
An error occurs:
File "/home/sergey/SuperResolutionAnimeDiffusion/app.py", line 25, in <module> from RealESRGANv030.interface import realEsrgan ModuleNotFoundError: No module named 'RealESRGANv030'

This error cannot be resolved by the command:
pip install RealESRGAN
Where can I get a package with the right version?