modified: detailer - allow 5D latent model (WAN)
- assuming it's a single-frame latent, not a video latent https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/1066
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@@ -3,7 +3,7 @@ import os
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import logging
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version_code = [8, 21, 1]
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version_code = [8, 21, 2]
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version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
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my_path = os.path.dirname(__file__)
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@@ -407,6 +407,11 @@ def enhance_detail(image, model, clip, vae, guide_size, guide_size_for_bbox, max
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refined_image = detailer_hook.post_decode(refined_image)
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# downscale
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# workaround: support WAN as an i2i model
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if len(refined_image.shape) == 5:
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refined_image = refined_image.squeeze(0)
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refined_image = utils.tensor_resize(refined_image, w, h)
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# prevent mixing of device
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+1
-1
@@ -1,7 +1,7 @@
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[project]
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name = "comfyui-impact-pack"
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description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
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version = "8.21.1"
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version = "8.21.2"
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license = { file = "LICENSE.txt" }
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dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]
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