correct merg

scripts/txt2img.py

@@ -239,9 +239,7 @@ def main():
  if opt.fixed_code:
  start_code = torch.randn([opt.n_samples, opt.C, opt.H // opt.f, opt.W // opt.f], device=device)
 
- print("start code", start_code.abs().sum())
  precision_scope = autocast if opt.precision=="autocast" else nullcontext
- precision_scope = nullcontext
  with torch.no_grad():
  with precision_scope("cuda"):
  with model.ema_scope():
@@ -297,6 +295,13 @@ def main():
  Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f'grid-{grid_count:04}.png'))
  grid_count += 1
 
+ image = x_samples_ddim.cpu().permute(0, 2, 3, 1).numpy()
+
+ # run safety checker
+ safety_checker_input = pipe.feature_extractor(numpy_to_pil(image), return_tensors="pt")
+ image, has_nsfw_concept = pipe.safety_checker(images=image, clip_input=safety_checker_input.pixel_values)
+ toc = time.time()
+
  print(f"Your samples are ready and waiting for you here: \n{outpath} \n"
  f" \nEnjoy.")