Merge branch 'development' of https://github.com/lstein/stable-diffusion into development

ldm/models/diffusion/ksampler.py

@@ -88,8 +88,8 @@ class KSampler(object):
                 img_callback(k_callback_values['x'], k_callback_values['i'])
 
         sigmas = self.model.get_sigmas(S)
-        if x_T:
-            x = x_T
+        if x_T is not None:
+            x = x_T * sigmas[0]
         else:
             x = (
                 torch.randn([batch_size, *shape], device=self.device)