Update ddpm.py (#59)

In the personalized text generation image task, the  apply_model( ) method in the LatentDiffusionDB class under the path 'mindspore-tab/minddiffusion/blob/main/vision/wukonghua/ldm/models/differentiation/ddpm. py' reports an error: "TypeError: apply_model() got an unexpected keyword argument 'c_concat'"

vision/wukong-huahua/ldm/models/diffusion/ddpm.py

@@ -486,9 +486,7 @@ def construct(self, train_x, train_c, reg_x, reg_c):
     def p_losses(self, x_start, cond, t, noise=None):
         noise = msnp.randn(x_start.shape)
         x_noisy = self.q_sample(x_start=x_start, t=t, noise=noise)
-        model_output = self.apply_model(x_noisy, t,
-                                        c_concat=cond if self.model.conditioning_key == 'concat' else None,
-                                        c_crossattn=cond if self.model.conditioning_key == 'crossattn' else None)
+        model_output = self.apply_model(x_noisy, t, cond)
 
         if self.parameterization == "x0":
             target = x_start