From f21c979f08778ad8c223c0b7d4b5c85413185157 Mon Sep 17 00:00:00 2001 From: Bryce Date: Tue, 27 Sep 2022 23:15:34 -0700 Subject: [PATCH] feature: better masking segmentation from clipseg --- Makefile | 10 ++++-- README.md | 6 +++- imaginairy/enhancers/clip_masking.py | 9 ++---- imaginairy/vendored/clipseg/__init__.py | 29 ++++++++++++++++-- .../vendored/clipseg/rd64-uni-refined.pth | Bin 0 -> 4720707 bytes imaginairy/vendored/clipseg/rd64-uni.pth | Bin 4306645 -> 0 bytes tests/test_api.py | 13 ++------ tests/test_enhancers.py | 5 ++- 8 files changed, 47 insertions(+), 25 deletions(-) create mode 100644 imaginairy/vendored/clipseg/rd64-uni-refined.pth delete mode 100644 imaginairy/vendored/clipseg/rd64-uni.pth diff --git a/Makefile b/Makefile index bf99307..7a35f3f 100644 --- a/Makefile +++ b/Makefile @@ -89,14 +89,19 @@ revendorize: vendorize_kdiffusion make af vendorize_clipseg: - make download_repo REPO=git@github.com:timojl/clipseg.git PKG=clipseg COMMIT=664ee94393491cdd7ad422f67eb1ce670d3d00e6 + make download_repo REPO=git@github.com:timojl/clipseg.git PKG=clipseg COMMIT=ea54753df1e444c4445bac6e023546b6a41951d8 rm -rf ./imaginairy/vendored/clipseg mkdir -p ./imaginairy/vendored/clipseg cp -R ./downloads/clipseg/models/* ./imaginairy/vendored/clipseg/ sed -i '' -e 's#import clip#from imaginairy.vendored import clip#g' ./imaginairy/vendored/clipseg/clipseg.py rm ./imaginairy/vendored/clipseg/vitseg.py mv ./imaginairy/vendored/clipseg/clipseg.py ./imaginairy/vendored/clipseg/__init__.py - wget https://github.com/timojl/clipseg/raw/master/weights/rd64-uni.pth -P ./imaginairy/vendored/clipseg + # download weights + rm -rf ./downloads/clipseg-weights + mkdir -p ./downloads/clipseg-weights + wget https://owncloud.gwdg.de/index.php/s/ioHbRzFx6th32hn/download -O ./downloads/clipseg-weights/weights.tar + cd downloads/clipseg-weights && unzip -d weights -j weights.tar + cp ./downloads/clipseg-weights/weights/rd64-uni-refined.pth ./imaginairy/vendored/clipseg/ vendorize_blip: make download_repo REPO=git@github.com:salesforce/BLIP.git PKG=blip COMMIT=48211a1594f1321b00f14c9f7a5b4813144b2fb9 @@ -131,6 +136,7 @@ vendorize: ## vendorize a github repo. `make vendorize REPO=git@github.com:ope download_repo: mkdir -p ./downloads + rm -rf ./downloads/$(PKG) -cd ./downloads && git clone $(REPO) $(PKG) cd ./downloads/$(PKG) && git pull diff --git a/README.md b/README.md index c5c0e2d..8536cd7 100644 --- a/README.md +++ b/README.md @@ -185,6 +185,7 @@ docker run -it --gpus all -v $HOME/.cache/huggingface:/root/.cache/huggingface - [Example Colab](https://colab.research.google.com/drive/1rOvQNs0Cmn_yU1bKWjCOHzGVDgZkaTtO?usp=sharing) ## ChangeLog + - add improved masking update from clipseg **2.0.3** - fix memory leak in face enhancer @@ -250,6 +251,7 @@ would be uncorrelated to the rest of the surrounding image. It created terrible - ✅ https://www.reddit.com/r/StableDiffusion/comments/xalaws/test_update_for_less_memory_usage_and_higher/ - https://github.com/neonsecret/stable-diffusion https://github.com/CompVis/stable-diffusion/pull/177 - https://github.com/huggingface/diffusers/pull/532/files + - https://github.com/HazyResearch/flash-attention - ✅ deploy to pypi - find similar images https://knn5.laion.ai/?back=https%3A%2F%2Fknn5.laion.ai%2F&index=laion5B&useMclip=false - Development Environment @@ -291,6 +293,7 @@ would be uncorrelated to the rest of the surrounding image. It created terrible - https://www.reddit.com/r/StableDiffusion/comments/xboy90/a_better_way_of_doing_img2img_by_finding_the/ - https://gist.github.com/trygvebw/c71334dd127d537a15e9d59790f7f5e1 - https://github.com/pesser/stable-diffusion/commit/bbb52981460707963e2a62160890d7ecbce00e79 + - https://github.com/SHI-Labs/FcF-Inpainting https://praeclarumjj3.github.io/fcf-inpainting/ - CPU support - ✅ img2img for plms - img2img for kdiff functions @@ -304,7 +307,8 @@ would be uncorrelated to the rest of the surrounding image. It created terrible - https://www.reddit.com/r/MachineLearning/comments/x6k5bm/n_stable_diffusion_image_variations_released/ - animations - https://github.com/francislabountyjr/stable-diffusion/blob/main/inferencing_notebook.ipynb - - https://www.youtube.com/watch?v=E7aAFEhdngI + - https://www.youtube.com/watch?v=E7aAFEhdngI + - https://github.com/pytti-tools/frame-interpolation - cross-attention control: - https://github.com/bloc97/CrossAttentionControl/blob/main/CrossAttention_Release_NoImages.ipynb - guided generation diff --git a/imaginairy/enhancers/clip_masking.py b/imaginairy/enhancers/clip_masking.py index 79b9def..7259fd2 100644 --- a/imaginairy/enhancers/clip_masking.py +++ b/imaginairy/enhancers/clip_masking.py @@ -5,7 +5,6 @@ import cv2 import numpy as np import PIL.Image import torch -from kornia.filters import median_blur from torchvision import transforms from imaginairy.img_log import log_img @@ -19,12 +18,12 @@ weights_url = "https://github.com/timojl/clipseg/raw/master/weights/rd64-uni.pth def clip_mask_model(): from imaginairy import PKG_ROOT # noqa - model = CLIPDensePredT(version="ViT-B/16", reduce_dim=64) + model = CLIPDensePredT(version="ViT-B/16", reduce_dim=64, complex_trans_conv=True) model.eval() model.load_state_dict( torch.load( - f"{PKG_ROOT}/vendored/clipseg/rd64-uni.pth", + f"{PKG_ROOT}/vendored/clipseg/rd64-uni-refined.pth", map_location=torch.device("cpu"), ), strict=False, @@ -48,10 +47,6 @@ def get_img_mask( mask = parsed_mask.apply_masks(mask_cache) log_img(mask, "combined mask") - # try to blur the square shaped artifacts somewhat - mask = median_blur(mask.unsqueeze(dim=0).unsqueeze(dim=0), (11, 11)).squeeze() - log_img(mask, "median blurred") - kernel = np.ones((3, 3), np.uint8) mask_g = mask.clone() diff --git a/imaginairy/vendored/clipseg/__init__.py b/imaginairy/vendored/clipseg/__init__.py index fb4581c..a9a67a3 100755 --- a/imaginairy/vendored/clipseg/__init__.py +++ b/imaginairy/vendored/clipseg/__init__.py @@ -423,6 +423,7 @@ class CLIPDensePredT(CLIPDenseBase): rev_activations=False, trans_conv=None, n_tokens=None, + complex_trans_conv=False, ): super().__init__(version, reduce_cond, reduce_dim, prompt, n_tokens) @@ -465,9 +466,31 @@ class CLIPDensePredT(CLIPDenseBase): # explicitly define transposed conv kernel size trans_conv_ks = (trans_conv, trans_conv) - self.trans_conv = nn.ConvTranspose2d( - reduce_dim, 1, trans_conv_ks, stride=trans_conv_ks - ) + if not complex_trans_conv: + self.trans_conv = nn.ConvTranspose2d( + reduce_dim, 1, trans_conv_ks, stride=trans_conv_ks + ) + else: + assert trans_conv_ks[0] == trans_conv_ks[1] + + tp_kernels = (trans_conv_ks[0] // 4, trans_conv_ks[0] // 4) + + self.trans_conv = nn.Sequential( + nn.Conv2d(reduce_dim, reduce_dim, kernel_size=3, padding=1), + nn.ReLU(), + nn.ConvTranspose2d( + reduce_dim, + reduce_dim // 2, + kernel_size=tp_kernels[0], + stride=tp_kernels[0], + ), + nn.ReLU(), + nn.ConvTranspose2d( + reduce_dim // 2, 1, kernel_size=tp_kernels[1], stride=tp_kernels[1] + ), + ) + + # self.trans_conv = nn.ConvTranspose2d(reduce_dim, 1, trans_conv_ks, stride=trans_conv_ks) assert len(self.extract_layers) == depth diff --git a/imaginairy/vendored/clipseg/rd64-uni-refined.pth b/imaginairy/vendored/clipseg/rd64-uni-refined.pth new file mode 100644 index 0000000000000000000000000000000000000000..2a8743223bfd1a6e68120c23e5ca94dfd68cc5d9 GIT binary patch literal 4720707 zcmagE2V73?|39Ag-V05uA*IsLeO{M}iiUBcfux8s%6)g25lWPjG?a`KQDh_|)O}tT zWs{kel`WfWh2Od5^ZC^0^Zx$-d3cTMoa^~~Ue~$K>x}!1_LGs7l2TNZ`ky~dDQ&56 z;nb+;gh;z-;i7QcxwB?_d#X!K=<=5=y;vY+8LYu|pB_DXPS~9I*|zf{qh~~k1l^{J zV!8gdVez8q*>TEY!pMmD=-Jc4M3FIZvBIzf2W5e@rDd=J*ENpYGkiv*K&GRMviI!R zaM9R~MrDC)a5rwBfdaW;dCpIbpBC;mP#_;5l`Ik{jPaB5a}SV`P7^3{)~{QdKq+JD z)Y#dxBd3a@V`Ji!M+v7z3L~cti=HY{7ARZs1u7zeDqo-$tkzj_M09wZKs}1n6D1SX z!Dlbf=**|-=PnXx{h>=0X!~_b73gF{N$_+<0zJM!|36a@K5g2+rof;JqJzM&Gh+8Y 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