prompt

server.py

@@ -345,8 +345,10 @@ def main_dev(opt):
                 if isinstance(prompts, tuple):
                     prompts = list(prompts)
                 with torch.no_grad(), additional_context:
-                    for _ in range(3):
-                        c = model.get_learned_conditioning(prompts)
+                    #for _ in range(3):
+                    #    c = model.get_learned_conditioning(prompts)
+                    c = model.get_learned_conditioning(prompts)
+                    print(c)
                     samples_ddim, _ = sampler.sample(S=5,
                                                      conditioning=c,
                                                      batch_size=batch_size,