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advanced controlnet apply finished

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lllyasviel
2024-01-28 08:52:15 -08:00
parent 31e057e7b3
commit b2569c0183
2 changed files with 44 additions and 8 deletions
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14
extensions-builtin/sd_forge_controlnet_example/scripts/sd_forge_controlnet_example.py
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@@ -105,9 +105,9 @@ class ControlNetExampleForge(scripts.Script):
'output': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
}
negative_advanced_weighting = {
'input': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2],
'middle': [1.0],
'output': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
'input': [0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25],
'middle': [1.05],
'output': [0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25]
}
# The advanced_frame_weighting is a weight applied to each image in a batch.
@@ -125,10 +125,10 @@ class ControlNetExampleForge(scripts.Script):
advanced_sigma_weighting = lambda s: (s - sigma_min) / (sigma_max - sigma_min)
# But in this simple example we do not use them
# positive_advanced_weighting = None
# negative_advanced_weighting = None
# advanced_frame_weighting = None
# advanced_sigma_weighting = None
positive_advanced_weighting = None
negative_advanced_weighting = None
advanced_frame_weighting = None
advanced_sigma_weighting = None
unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bhwc=control_image,
strength=0.6, start_percent=0.0, end_percent=0.8,