From b3311a50dc7a9447fec980fc7de19a71f27cd527 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 10 Sep 2022 16:16:18 +0300
Subject: fix repeating subseeds for every batch #221

---
 modules/processing.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'modules/processing.py')

diff --git a/modules/processing.py b/modules/processing.py
index 816fdd18..df45d877 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -229,6 +229,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
 
             prompts = all_prompts[n * p.batch_size:(n + 1) * p.batch_size]
             seeds = all_seeds[n * p.batch_size:(n + 1) * p.batch_size]
+            subseeds = all_subseeds[n * p.batch_size:(n + 1) * p.batch_size]
 
             uc = p.sd_model.get_learned_conditioning(len(prompts) * [p.negative_prompt])
             c = p.sd_model.get_learned_conditioning(prompts)
@@ -237,7 +238,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
                 comments += model_hijack.comments
 
             # we manually generate all input noises because each one should have a specific seed
-            x = create_random_tensors([opt_C, p.height // opt_f, p.width // opt_f], seeds=seeds, subseeds=all_subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)
+            x = create_random_tensors([opt_C, p.height // opt_f, p.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)
 
             if p.n_iter > 1:
                 shared.state.job = f"Batch {n+1} out of {p.n_iter}"
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