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add some codes for robust

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wangqyqq
2023-12-27 10:20:56 +08:00
parent 9feb034e34
commit bfe418a58d
2 changed files with 16 additions and 13 deletions
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5
modules/sd_models_xl.py
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@@ -36,8 +36,9 @@ def get_learned_conditioning(self: sgm.models.diffusion.DiffusionEngine, batch:
def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond):
sd = self.model.state_dict()
diffusion_model_input = sd.get('diffusion_model.input_blocks.0.0.weight', None)
if diffusion_model_input.shape[1] == 9:
x = torch.cat([x] + cond['c_concat'], dim=1)
if diffusion_model_input is not None:
if diffusion_model_input.shape[1] == 9:
x = torch.cat([x] + cond['c_concat'], dim=1)
return self.model(x, t, cond)