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Update README.md
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@@ -447,7 +447,8 @@ class ControlNetExampleForge(scripts.Script):
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unet = p.sd_model.forge_objects.unet
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# Unet has input, middle, output blocks, and we can give different weights to each layers in all blocks.
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# Unet has input, middle, output blocks, and we can give different
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# weights to each layers in all blocks.
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# Below is an example for stronger control in middle block.
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# This is helpful for some high-res fix passes. (p.is_hr_pass)
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positive_advanced_weighting = {
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@@ -464,7 +465,8 @@ class ControlNetExampleForge(scripts.Script):
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# The advanced_frame_weighting is a weight applied to each image in a batch.
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# The length of this list must be same with batch size
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# For example, if batch size is 5, the below list is [0, 0.25, 0.5, 0.75, 1.0]
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# If you view the 5 images as 5 frames in a video, this will lead to progressively stronger control over time.
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# If you view the 5 images as 5 frames in a video, this will lead to
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# progressively stronger control over time.
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advanced_frame_weighting = [float(i) / float(batch_size - 1) for i in range(batch_size)]
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# But in this simple example we do not use them
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