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Update strength image to image gen
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@@ -181,7 +181,7 @@ class Model(nn.Module):
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else:
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self.decoder = nn.Identity()
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def __call__(self,x, step= 0, cfg_weight: float = 7.5,total_steps=50,conditioning=None,mask=None,residual=None,x_t_prev=None,is_finished=False,is_step_finished=False, image=None, strength=0.7, start_step=None):
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def __call__(self,x, step= 0, cfg_weight: float = 7.5,total_steps=50,conditioning=None,mask=None,residual=None,x_t_prev=None,is_finished=False,is_step_finished=False, image=None, strength=0.65, start_step=None):
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t, t_prev = self.sampler.current_timestep(step=step, total_steps=total_steps, start_time=start_step)
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is_finished = False
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is_step_finished = False
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