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Update nodes_freelunch.py

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This commit is contained in:
Jordan Thompson
2023-09-23 14:52:08 -07:00
parent 517e1e15e4
commit da021ed56a
1 changed files with 20 additions and 11 deletions
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nodes_freelunch.py
+20 -11
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@@ -138,17 +138,26 @@ def Fourier_filter(x, threshold, scale, scales=None, strength=1.0):
mask[..., crow - threshold:crow + threshold, ccol - threshold:ccol + threshold] = scale
if scales is not None:
for scale_params in scales:
if isinstance(scale_params, tuple) and len(scale_params) == 2:
scale_threshold, scale_value = scale_params
# Apply strength to the scale_value
scaled_scale_value = scale_value * strength
scale_mask = torch.ones((B, C, H, W), device=x.device)
scale_mask[..., crow - scale_threshold:crow + scale_threshold, ccol - scale_threshold:ccol + scale_threshold] = scaled_scale_value
new_mask = mask * scale_mask
# Blend the result with the original mask based on strength
mask = mask + (new_mask - mask) * strength
if isinstance(scales[0], tuple):
# Single-scale mode
for scale_params in scales:
if len(scale_params) == 2:
scale_threshold, scale_value = scale_params
scaled_scale_value = scale_value * strength
scale_mask = torch.ones((B, C, H, W), device=x.device)
scale_mask[..., crow - scale_threshold:crow + scale_threshold, ccol - scale_threshold:ccol + scale_threshold] = scaled_scale_value
mask = mask + (scale_mask - mask) * strength
else:
# Multi-scale mode
for scale_params in scales:
if isinstance(scale_params, list):
for scale_tuple in scale_params:
if len(scale_tuple) == 2:
scale_threshold, scale_value = scale_tuple
scaled_scale_value = scale_value * strength
scale_mask = torch.ones((B, C, H, W), device=x.device)
scale_mask[..., crow - scale_threshold:crow + scale_threshold, ccol - scale_threshold:ccol + scale_threshold] = scaled_scale_value
mask = mask + (scale_mask - mask) * strength
x_freq = x_freq * mask