From 90e3e504f5bee1e93a9bb05e515ce56fb96dbc8e Mon Sep 17 00:00:00 2001 From: jaydrennan Date: Tue, 5 Dec 2023 15:34:36 -0800 Subject: [PATCH 1/2] feature: adds ability to use qrcode feature: adds controlnet qrcode image generation. feature: adds control net for qrcode image generation. --- imaginairy/cli/imagine.py | 1 + imaginairy/config.py | 7 +++ imaginairy/img_processors/control_modes.py | 59 ++++++++++++++++++ tests/data/swirl.jpeg | Bin 0 -> 40271 bytes ...s[qrcode-adaptive_threshold_binarize]_.png | Bin 0 -> 48749 bytes ..._control_images[qrcode-otsu_binarize]_.png | Bin 0 -> 31375 bytes .../test_controlnet[qrcode]_.png | Bin 0 -> 415036 bytes tests/test_api.py | 7 +++ 8 files changed, 74 insertions(+) create mode 100644 tests/data/swirl.jpeg create mode 100644 tests/expected_output/test_control_images[qrcode-adaptive_threshold_binarize]_.png create mode 100644 tests/expected_output/test_control_images[qrcode-otsu_binarize]_.png create mode 100644 tests/expected_output/test_controlnet[qrcode]_.png diff --git a/imaginairy/cli/imagine.py b/imaginairy/cli/imagine.py index 9c234c62..7ee3b62e 100644 --- a/imaginairy/cli/imagine.py +++ b/imaginairy/cli/imagine.py @@ -59,6 +59,7 @@ "inpaint", "details", "colorize", + "qrcode", ] ), help="how the control image is used as signal", diff --git a/imaginairy/config.py b/imaginairy/config.py index cc43ab47..b8934fd5 100644 --- a/imaginairy/config.py +++ b/imaginairy/config.py @@ -276,6 +276,13 @@ class ControlConfig: config_path="configs/control-net-v15.yaml", weights_location="https://huggingface.co/ioclab/control_v1p_sd15_brightness/resolve/8509361eb1ba89c03839040ed8c75e5f11bbd9c5/diffusion_pytorch_model.safetensors", ), + ControlConfig( + name="qrcode", + control_type="qrcode", + config_path="configs/control-net-v15.yaml", + weights_location="https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster/resolve/4a946e610f670c4cd6cf46b8641fca190e4f56c4/diffusion_pytorch_model.safetensors", + aliases=["qrcode"], + ), ] CONTROL_CONFIG_SHORTCUTS: dict[str, ControlConfig] = {} diff --git a/imaginairy/img_processors/control_modes.py b/imaginairy/img_processors/control_modes.py index 74b16f8d..78bcf1bd 100644 --- a/imaginairy/img_processors/control_modes.py +++ b/imaginairy/img_processors/control_modes.py @@ -239,6 +239,64 @@ def noop(img: "Tensor") -> "Tensor": FunctionType = Union["Callable[[Tensor, Tensor], Tensor]", "Callable[[Tensor], Tensor]"] + +def adaptive_threshold_binarize(img: "Tensor") -> "Tensor": + """ + Use adaptive thresholding to binarize the image. + + Using OpenCV for adaptive thresholding as it provides robust and efficient implementation. + The output tensor will have values between 0 and 1. + """ + import cv2 + import numpy as np + import torch + + from imaginairy.utils import get_device + + # img = img.to("cpu") + # img = img.to(get_device()) + + if img.dim() != 4: + raise ValueError("Input should be a 4d tensor") + if img.size(1) != 3: + raise ValueError("Input should have 3 channels") + + if not torch.all((img >= -1) & (img <= 1)): + raise ValueError("All tensor values must be between -1 and 1") + + normalized = (img + 1) / 2 + + # returns img if it is already grayscale + if torch.allclose( + normalized[:, 0, :, :], normalized[:, 1, :, :] + ) and torch.allclose(normalized[:, 1, :, :], normalized[:, 2, :, :]): + return normalized + + # grayscale = normalized.mean(dim=1, keepdim=True) + grayscale = to_grayscale(img) + grayscale = grayscale[:, 0:1, :, :] + + grayscale_np = grayscale.squeeze(1).numpy() + + blockSize = 129 + C = 2 + for i in range(grayscale_np.shape[0]): + grayscale_np[i] = cv2.adaptiveThreshold( + (grayscale_np[i] * 255).astype(np.uint8), + 255, + cv2.ADAPTIVE_THRESH_GAUSSIAN_C, + cv2.THRESH_BINARY, + blockSize, + C, + ) + + grayscale_np = grayscale_np / 255 + + binary = torch.from_numpy(grayscale_np).unsqueeze(1).to(get_device()).float() + + return binary.repeat(1, 3, 1, 1) + + CONTROL_MODES: Dict[str, FunctionType] = { "canny": create_canny_edges, "depth": create_depth_map, @@ -252,4 +310,5 @@ def noop(img: "Tensor") -> "Tensor": "inpaint": inpaint_prep, # "details": noop, "colorize": to_grayscale, + "qrcode": adaptive_threshold_binarize, } diff --git a/tests/data/swirl.jpeg b/tests/data/swirl.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..499fc98147eea37987df1cc065ab21a624d2dea7 GIT binary patch literal 40271 zcmZsB1yog0_vZx#6cD64B&EAclZ` z@%3v&OcYe)w>X%%xHy>D*!V=0B=`j6gxJ`m^rYle)HJj-cq9zW4DXpK-_yMR+YTVT zf?b7Og@Hi>{&oU{&$Qv5dHkR2B@FBfko>E^^T4Zre}K90npshRqwhe~8M#$?3m~U8 zj$3bS=e@vWP*1;I1z`45zm3}}FjQjW#cKnYl`jQc0{T}0z=^oDW>&Hn=s{KQzBK^= zs(Z!*6RH!;oJ3jxj=l|5@8{W&Ie>VlZdH|M9stQe4G zyog9;l(Vh{H&KhMfxp7PVGg`0Eje~!bx=W8aMtzR$p8cpMmZ}h0R+EmPmAd6?LOz< 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jaydrennan Date: Wed, 13 Dec 2023 15:37:00 -0800 Subject: [PATCH 2/2] fix: adds default line ending for csv writing. the csv library defaults to using CRLF line endings if not specified. --- tests/conftest.py | 2 +- ...st_control_images[qrcode-otsu_binarize]_.png | Bin 31375 -> 0 bytes 2 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 tests/expected_output/test_control_images[qrcode-otsu_binarize]_.png diff --git a/tests/conftest.py b/tests/conftest.py index 56193e29..6f8ffa62 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -208,7 +208,7 @@ def pytest_sessionfinish(session, exitstatus): # Write updated, sorted list of node IDs to file with open(cuda_test_tracker_filepath, "w", newline="") as file: - writer = csv.writer(file) + writer = csv.writer(file, lineterminator="\n") for node_id in sorted(updated_node_ids): writer.writerow([node_id]) diff --git a/tests/expected_output/test_control_images[qrcode-otsu_binarize]_.png 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