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Precompute is_sdxl_inpaint flag

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huchenlei
2024-05-15 16:32:29 -04:00
parent 1c0a0c4c26
commit 9eb2f78631
3 changed files with 22 additions and 22 deletions
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9
modules/sd_models_xl.py
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@@ -35,11 +35,10 @@ 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 is not None:
if diffusion_model_input.shape[1] == 9:
x = torch.cat([x] + cond['c_concat'], dim=1)
"""WARNING: This function is called once per denoising iteration. DO NOT add
expensive functionc calls such as `model.state_dict`. """
if self.model.is_sdxl_inpaint:
x = torch.cat([x] + cond['c_concat'], dim=1)
return self.model(x, t, cond)