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@ -224,6 +224,7 @@ Concatenates the image2 to image1 in the specified direction.
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image1 = image1.repeat(repeats1, 1, 1, 1)
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image2 = image2.repeat(repeats2, 1, 1, 1)
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if match_image_size:
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first_image_shape = first_image_shape if first_image_shape is not None else image1.shape
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image2_resized = image2.movedim(-1,1)
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image2_resized = common_upscale(image2_resized, first_image_shape[2], first_image_shape[1], "lanczos", "disabled").movedim(1,-1)
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else:
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@ -563,14 +564,14 @@ but allows setting sub-batches for reduced VRAM usage.
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device = model_management.get_torch_device()
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upscale_model.to(device)
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in_img = images.movedim(-1,-3).to(device)
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in_img = images.movedim(-1,-3)
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steps = in_img.shape[0]
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pbar = ProgressBar(steps)
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t = []
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for start_idx in range(0, in_img.shape[0], per_batch):
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sub_images = upscale_model(in_img[start_idx:start_idx+per_batch])
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sub_images = upscale_model(in_img[start_idx:start_idx+per_batch].to(device))
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t.append(sub_images.cpu())
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# Calculate the number of images processed in this batch
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batch_count = sub_images.shape[0]
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@ -990,7 +990,7 @@ class GrowMaskWithBlur:
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previous_output = None
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current_expand = expand
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for m in growmask:
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output = m.numpy()
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output = m.numpy().astype(np.float32)
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for _ in range(abs(round(current_expand))):
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if current_expand < 0:
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output = scipy.ndimage.grey_erosion(output, footprint=kernel)
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@ -2,7 +2,7 @@
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name = "comfyui-kjnodes"
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description = "Various quality of life -nodes for ComfyUI, mostly just visual stuff to improve usability."
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version = "1.0.0"
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license = "LICENSE"
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license = "GPL-3.0"
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dependencies = ["librosa", "numpy", "pillow>=10.3.0", "scipy", "color-matcher", "matplotlib", "huggingface_hub"]
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[project.urls]
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@ -10,6 +10,6 @@ Repository = "https://github.com/kijai/ComfyUI-KJNodes"
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# Used by Comfy Registry https://comfyregistry.org
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[tool.comfy]
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PublisherId = ""
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PublisherId = "kijai"
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DisplayName = "ComfyUI-KJNodes"
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Icon = ""
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