Update src/diffusers/schedulers/scheduling_euler_discrete.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

Author: Thiago Crepaldi

src/diffusers/schedulers/scheduling_euler_discrete.py

@@ -216,7 +216,7 @@ def __init__(
             # FP16 smallest positive subnormal works well here
             self.alphas_cumprod[-1] = 2**-24
 
-        sigmas = (((1 - self.alphas_cumprod) / self.alphas_cumprod) ** 0.5).flip(0)
+        sigmas = (((1 - self.alphas_cumprod) / self.alphas_cumprod) ** 0.5).flip(0).to(dtype=torch.float32)
         timesteps = np.linspace(0, num_train_timesteps - 1, num_train_timesteps, dtype=float)[::-1].copy()
         timesteps = torch.from_numpy(timesteps).to(dtype=torch.float32)