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https://github.com/invoke-ai/InvokeAI
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Quick Seamless Fixes
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@ -28,68 +28,49 @@ def _conv_forward_asymmetric(self, input, weight, bias):
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def set_seamless(model: Union[UNet2DConditionModel, AutoencoderKL], seamless_axes: List[str]):
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try:
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to_restore = []
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skipped_layers = 0
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skip_second_resnet = True
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skip_conv2 = True
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for m_name, m in model.named_modules():
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if isinstance(model, UNet2DConditionModel):
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if ".attentions." in m_name:
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if not isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)):
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continue
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if isinstance(model, UNet2DConditionModel) and m_name.startswith("down_blocks.") and ".resnets." in m_name:
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# down_blocks.1.resnets.1.conv1
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_, block_num, _, resnet_num, submodule_name = m_name.split(".")
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block_num = int(block_num)
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resnet_num = int(resnet_num)
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# if block_num >= seamless_down_blocks:
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if block_num >= len(model.down_blocks) - skipped_layers:
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continue
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if ".resnets." in m_name:
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if ".conv2" in m_name:
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continue
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if ".conv_shortcut" in m_name:
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continue
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"""
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if isinstance(model, UNet2DConditionModel):
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if False and ".upsamplers." in m_name:
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if resnet_num > 0 and skip_second_resnet:
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continue
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if False and ".downsamplers." in m_name:
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if submodule_name == "conv2" and skip_conv2:
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continue
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if True and ".resnets." in m_name:
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if True and ".conv1" in m_name:
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if False and "down_blocks" in m_name:
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continue
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if False and "mid_block" in m_name:
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continue
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if False and "up_blocks" in m_name:
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continue
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m.asymmetric_padding_mode = {}
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m.asymmetric_padding = {}
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m.asymmetric_padding_mode["x"] = "circular" if ("x" in seamless_axes) else "constant"
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m.asymmetric_padding["x"] = (
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m._reversed_padding_repeated_twice[0],
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m._reversed_padding_repeated_twice[1],
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0,
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0,
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)
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m.asymmetric_padding_mode["y"] = "circular" if ("y" in seamless_axes) else "constant"
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m.asymmetric_padding["y"] = (
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0,
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0,
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m._reversed_padding_repeated_twice[2],
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m._reversed_padding_repeated_twice[3],
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)
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if True and ".conv2" in m_name:
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continue
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if True and ".conv_shortcut" in m_name:
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continue
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if True and ".attentions." in m_name:
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continue
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if False and m_name in ["conv_in", "conv_out"]:
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continue
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"""
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if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)):
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m.asymmetric_padding_mode = {}
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m.asymmetric_padding = {}
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m.asymmetric_padding_mode["x"] = "circular" if ("x" in seamless_axes) else "constant"
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m.asymmetric_padding["x"] = (
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m._reversed_padding_repeated_twice[0],
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m._reversed_padding_repeated_twice[1],
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0,
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0,
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)
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m.asymmetric_padding_mode["y"] = "circular" if ("y" in seamless_axes) else "constant"
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m.asymmetric_padding["y"] = (
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0,
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0,
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m._reversed_padding_repeated_twice[2],
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m._reversed_padding_repeated_twice[3],
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)
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to_restore.append((m, m._conv_forward))
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m._conv_forward = _conv_forward_asymmetric.__get__(m, nn.Conv2d)
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to_restore.append((m, m._conv_forward))
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m._conv_forward = _conv_forward_asymmetric.__get__(m, nn.Conv2d)
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yield
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