fix more

Former-commit-id: 239ed0fd0247807df4f62e5dc22dfe00f6e14db3

scripts/txt2img.py

@@ -266,7 +266,7 @@ def main():
 
                         x_samples_ddim = model.decode_first_stage(samples_ddim)
                         x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
-                        x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1).numpy()
+                        x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1)
 
                         x_image = x_samples_ddim
                         safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
@@ -295,11 +295,6 @@ 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"