smaller epsilon when deriving flow from predict noise objective

Author: lucidrains

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "rectified-flow-pytorch"
-version = "0.1.0"
+version = "0.1.1"
 description = "Rectified Flow in Pytorch"
 authors = [
     { name = "Phil Wang", email = "[email protected]" }

rectified_flow_pytorch/rectified_flow.py

@@ -263,7 +263,7 @@ def predict_flow(self, model: Module, noised, *, times):
             noise = output
             padded_times = append_dims(times, noised.ndim - 1)
 
-            flow = (noised - noise) / padded_times.clamp(min = 1e-2)
+            flow = (noised - noise) / padded_times.clamp(min = 1e-20)
 
         else:
             raise ValueError(f'unknown objective {self.predict}')