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

Your model repository seems to contain a stable diffusion checkpoint. We have noticed that your scheduler config currently does not correctly work with the [DDIMScheduler]( ) because `clip_sample` is not set to False and will therefore incorrectly default to True. The official stable diffusion checkpoints have `clip_sample=False` so that the scheduler config works will **all** schedulers, see: https://huggingface.co/stabilityai/stable-diffusion-2-1-base/blob/main/scheduler/scheduler_config.json#L7. We strongly recommend that you merge this PR to make sure your model works correctly 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,
   "set_alpha_to_one": false,
   "skip_prk_steps": true,