diff --git a/modules/processing_args.py b/modules/processing_args.py
index 0e84f2a4a..cc8d39c11 100644
--- a/modules/processing_args.py
+++ b/modules/processing_args.py
@@ -181,6 +181,8 @@ def set_pipeline_args(p, model, prompts: list, negative_prompts: list, prompts_2
     if hasattr(model, 'scheduler') and hasattr(model.scheduler, 'noise_sampler_seed') and hasattr(model.scheduler, 'noise_sampler'):
         model.scheduler.noise_sampler = None # noise needs to be reset instead of using cached values
         model.scheduler.noise_sampler_seed = p.seeds # some schedulers have internal noise generator and do not use pipeline generator
+    if 'seed' in possible:
+        args['seed'] = p.seed
     if 'noise_sampler_seed' in possible:
         args['noise_sampler_seed'] = p.seeds
     if 'guidance_scale' in possible:
diff --git a/scripts/pulid_ext.py b/scripts/pulid_ext.py
index 7ec32e904..d0d738b6a 100644
--- a/scripts/pulid_ext.py
+++ b/scripts/pulid_ext.py
@@ -174,10 +174,10 @@ def run(self, p: processing.StableDiffusionProcessing, strength: float = 0.8, ze
         shared.sd_model.debug_img_list = []
         uncond_id_embedding, id_embedding = shared.sd_model.get_id_embedding(images)
 
+        p.seed = processing_helpers.get_fixed_seed(p.seed)
         if direct: # run pipeline directly
             shared.state.begin('PuLID')
             processing.fix_seed(p)
-            p.seed = processing_helpers.get_fixed_seed(p.seed)
             p.prompt = shared.prompt_styles.apply_styles_to_prompt(p.prompt, p.styles)
             p.negative_prompt = shared.prompt_styles.apply_negative_styles_to_prompt(p.negative_prompt, p.styles)
             with devices.inference_context():