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Support loading the sr cascade controlnet.

This commit is contained in:
comfyanonymous 2024-03-07 00:58:52 -05:00
parent 03e6e81629
commit 5f60ee246e
2 changed files with 5 additions and 1 deletions
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4
comfy/controlnet.py
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@ -527,6 +527,10 @@ def load_t2i_adapter(t2i_data):
model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.0.weight'].shape[1], proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63])
compression_ratio = 32
upscale_algorithm = 'bilinear'
elif "backbone.10.blocks.0.weight" in keys:
model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.weight'].shape[1], bottleneck_mode="large", proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63])
compression_ratio = 1
upscale_algorithm = 'nearest-exact'
else:
return None

2
comfy/ldm/cascade/controlnet.py
View File

@ -67,7 +67,7 @@ class ControlNet(nn.Module):
operations.Conv2d(c_in, 4096 * 4, kernel_size=1, dtype=dtype, device=device),
nn.LeakyReLU(0.2, inplace=True),
operations.Conv2d(4096 * 4, 1024, kernel_size=1, dtype=dtype, device=device),
*[CNetResBlock(1024) for _ in range(8)],
*[CNetResBlock(1024, dtype=dtype, device=device, operations=operations) for _ in range(8)],
operations.Conv2d(1024, 1280, kernel_size=1, dtype=dtype, device=device),
)
embd_channels = 1280