Add `clip_sample=False` to scheduler to make model compatible with DDIM.

scheduler/scheduler_config.json

@@ -4,6 +4,7 @@
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
+  "clip_sample": false,
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
   "set_alpha_to_one": false,