filenames.patch

diff --git a/optimizedSD/optimized_txt2img.py b/optimizedSD/optimized_txt2img.py
index a52cb61..11a1c31 100644
--- a/optimizedSD/optimized_txt2img.py
+++ b/optimizedSD/optimized_txt2img.py
@@ -158,7 +158,6 @@ sample_path = os.path.join(outpath, "_".join(opt.prompt.split()))[:255]
 os.makedirs(sample_path, exist_ok=True)
 base_count = len(os.listdir(sample_path))
 grid_count = len(os.listdir(outpath)) - 1
-seed_everything(opt.seed)

 sd = load_model_from_config(f"{ckpt}")
 li = []
@@ -230,6 +229,7 @@ with torch.no_grad():
     all_samples = list()
     for n in trange(opt.n_iter, desc="Sampling"):
         for prompts in tqdm(data, desc="data"):
+             seed_everything(opt.seed)
              with precision_scope("cuda"):
                 modelCS.to(device)
                 uc = None
@@ -265,7 +265,7 @@ with torch.no_grad():
                 # for x_sample in x_samples_ddim:
                     x_sample = 255. * rearrange(x_sample[0].cpu().numpy(), 'c h w -> h w c')
                     Image.fromarray(x_sample.astype(np.uint8)).save(
-                        os.path.join(sample_path, f"{base_count:05}.png"))
+                        os.path.join(sample_path, f"{base_count:05}_seed-{opt.seed}_scale-{opt.scale}_steps-{opt.ddim_steps}_{i:03}.png"))
                     base_count += 1


@@ -289,7 +289,8 @@ with torch.no_grad():
         #     grid = 255. * rearrange(grid, 'c h w -> h w c').cpu().numpy()
         #     Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f'grid-{grid_count:04}.png'))
         #     grid_count += 1
+        opt.seed += 1

 toc = time.time()

 time_taken = (toc-tic)/60.0