diff --git a/README.md b/README.md
index 09617c2..4cc7c6d 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,7 @@
```
conda create -n invsr python=3.10
conda activate invsr
-pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121s
+pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121
pip install -U xformers==0.0.27.post2 --index-url https://download.pytorch.org/whl/cu121
pip install -e ".[torch]"
pip install -r requirements.txt
@@ -33,16 +33,15 @@ pip install -r requirements.txt
## Applications
### :point_right: Real-world Image Super-resolution
[
](https://imgsli.com/MzI2MTU5) [
](https://imgsli.com/MzI2MTUx) [
](https://imgsli.com/MzI2MTUy)
-
-[
](https://imgsli.com/MzI2MTU0) [
](https://imgsli.com/MzI2MTU3) [
](https://imgsli.com/MzI2MTU1)
+[
](https://imgsli.com/MzI2MTU0) [
](https://imgsli.com/MzI2MTU3) [
](https://imgsli.com/MzI2MTU1)
### :point_right: General Image Inhancement
-[
](https://imgsli.com/MzI2MTYw) [
](https://imgsli.com/MzI2MTYy)
-[
](https://imgsli.com/MzI2MjAx) [
](https://imgsli.com/MzI2MjAz) [
](https://imgsli.com/MzI2MjA0)
+[
](https://imgsli.com/MzI2MTYw) [
](https://imgsli.com/MzI2MTYy)
+[
](https://imgsli.com/MzI2MjAx) [
](https://imgsli.com/MzI2MjAz) [
](https://imgsli.com/MzI2MjA0)
### :point_right: AIGC Image Inhancement
-[
](https://imgsli.com/MzI2MjQy) [
](https://imgsli.com/MzI2MjQ1) [
](https://imgsli.com/MzI2MjQ3)
-[
](https://imgsli.com/MzI2MjQ5) [
](https://imgsli.com/MzI2MjUw) [
](https://imgsli.com/MzI2MjUx)
+[
](https://imgsli.com/MzI2MjQy) [
](https://imgsli.com/MzI2MjQ1) [
](https://imgsli.com/MzI2MjQ3)
+[
](https://imgsli.com/MzI2MjQ5) [
](https://imgsli.com/MzI2MjUw) [
](https://imgsli.com/MzI2MjUx)
@@ -56,7 +55,8 @@ pip install -r requirements.txt
python inference_invsr.py -i [image folder/image path] -o [result folder] --num_steps 1
```
1. This script will automatically download the pre-trained [noise predictor](https://huggingface.co/OAOA/InvSR/tree/main) and [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo/tree/main). If you have pre-downloaded them manually, please include them via ``--started_ckpt_path`` and ``--sd_path``.
-2. You can freely adjust the sampling steps via ``--num_steps``.
+2. To deal with large images, e.g., 1k---->4k, we recommend adding the option ``--chopping_size 256``.
+3. You can freely adjust the sampling steps via ``--num_steps``.
### :airplane: Reproducing our paper results
+ Synthetic dataset of ImageNet-Test: [Google Drive](https://drive.google.com/file/d/1PRGrujx3OFilgJ7I6nW7ETIR00wlAl2m/view?usp=sharing).
diff --git a/requirements.txt b/requirements.txt
index c11ab10..9e86830 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,11 @@
-transformers==4.46.0
+pyiqa==0.1.12
+transformers==4.37.2
opencv-python==4.10.0.84
+albumentations==1.4.18
bitsandbytes
sentencepiece
protobuf
python-box
omegaconf
loguru
-pyiqa
einops