fix repeating subseeds for every batch #221

1 files changed, 2 insertions, 1 deletions

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}"