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https://github.com/invoke-ai/InvokeAI
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Seamless Patch from Stalker (#4372)
Last commit that didn't get merged in with #4370
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commit
59511783fc
@ -4,7 +4,7 @@ from contextlib import contextmanager
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from typing import List, Union
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import torch.nn as nn
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from diffusers.models import AutoencoderKL, UNet2DModel
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from diffusers.models import AutoencoderKL, UNet2DConditionModel
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def _conv_forward_asymmetric(self, input, weight, bias):
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@ -25,12 +25,53 @@ def _conv_forward_asymmetric(self, input, weight, bias):
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@contextmanager
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def set_seamless(model: Union[UNet2DModel, AutoencoderKL], seamless_axes: List[str]):
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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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for m in model.modules():
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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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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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continue
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if False and ".downsamplers." in m_name:
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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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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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print(f"applied - {m_name}")
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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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