use model's dtype for #707

modules/prompt_parser.py

@@ -114,7 +114,7 @@ def get_learned_conditioning(prompts, steps):
 
 
 def reconstruct_cond_batch(c: ScheduledPromptBatch, current_step):
-    res = torch.zeros(c.shape, device=shared.device, dtype=torch.half)
+    res = torch.zeros(c.shape, device=shared.device, dtype=next(shared.sd_model.parameters()).dtype)
     for i, cond_schedule in enumerate(c.schedules):
         target_index = 0
         for curret_index, (end_at, cond) in enumerate(cond_schedule):