i

entry.py

@@ -2,6 +2,7 @@ import os
 import math
 import numpy as np
 import torch
+import gc
 import safetensors.torch
 
 from omegaconf import OmegaConf
@@ -91,9 +92,7 @@ config_path = './sd_xl_base.yaml'
 config = OmegaConf.load(config_path)
 model = instantiate_from_config(config.model).cpu()
 model.eval()
-
+model.load_state_dict(safetensors.torch.load_file('./sd_xl_base_1.0.safetensors'), strict=False)
-sd = safetensors.torch.load_file('./sd_xl_base_1.0.safetensors')
-model.load_state_dict(sd, strict=False)
 
 model.conditioner.cuda()
 
@@ -114,4 +113,21 @@ c, uc = model.conditioner.get_unconditional_conditioning(
     batch_uc=batch_uc)
 model.conditioner.cpu()
 
+torch.cuda.empty_cache()
+torch.cuda.ipc_collect()
+
+shape = (1, 4, 128, 128)
+randn = torch.randn(shape).cuda()
+
+
+def denoiser(input, sigma, c):
+    return model.denoiser(model.model, input, sigma, c)
+
+
+model.model.cuda()
+model.denoiser.cuda()
+samples_z = sampler(denoiser, randn, cond=c, uc=uc)
+model.model.cpu()
+model.denoiser.cpu()
+
 a = 0