debug-seed

VADER-VideoCrafter/scripts/main/train_t2v_lora.py

@@ -738,7 +738,7 @@ def run_training(args, model, **kwargs):
         # load the pretrained LoRA model
         peft.set_peft_model_state_dict(peft_model, torch.load(args.lora_ckpt_path))
 
-
+    print('random seed debug: ', torch.rand(100).sum())
     print("precision: ", peft_model.dtype)
     # precision of first_stage_model
     print("precision of first_stage_model: ", peft_model.first_stage_model.dtype)
@@ -929,7 +929,6 @@ def main_fn(prompt, lora_model, lora_rank, seed=200, height=320, width=512, unco
     seed_everything(args.seed)
     seed_everything_self(args.seed)
 
-    print(torch.rand(100).sum())
 
     video_path = run_training(args, model)
 

app.py

@@ -22,7 +22,7 @@ examples = [
 
 model = setup_model()
 
-@spaces.GPU(duration=120)
+@spaces.GPU(duration=180)
 def gradio_main_fn(prompt, lora_model, lora_rank, seed, height, width, unconditional_guidance_scale, ddim_steps, ddim_eta,
                    frames, savefps):
     global model