diff --git a/nodes/text_encoders/encoder_helpers.py b/nodes/text_encoders/encoder_helpers.py
index e0fbf32..13e48f8 100644
--- a/nodes/text_encoders/encoder_helpers.py
+++ b/nodes/text_encoders/encoder_helpers.py
@@ -52,14 +52,8 @@ def encode_prompts_flux(clip, clip_l_positive, t5xxl_positive, clip_l_negative,
     negative_tokens["t5xxl"] = clip.tokenize(t5xxl_negative)["t5xxl"]
 
     return (
-        clip.encode_from_tokens_scheduled(
-            positive_tokens,
-            add_dict={"guidance": guidance, }
-        ),
-        clip.encode_from_tokens_scheduled(
-            negative_tokens,
-            add_dict={"guidance": guidance, }
-        )
+        clip.encode_from_tokens_scheduled(positive_tokens, add_dict={"guidance": guidance, }),
+        clip.encode_from_tokens_scheduled(negative_tokens, add_dict={"guidance": guidance, })
     )
 
 
@@ -67,7 +61,7 @@ def encode_prompts_flux2(model, clip, prompt, lora_triggers, guidance):
     if clip is None:
         raise ValueError("ERROR: CLIP is required for text encoder")
 
-    tokens = clip.tokenize(f"{lora_triggers} {prompt}")
+    tokens = clip.tokenize(f"{lora_triggers}, {prompt}")
     conditioning = clip.encode_from_tokens_scheduled(tokens, add_dict={"guidance": guidance, })
     guider = Guider_Basic(model)
     guider.set_conds(conditioning)
diff --git a/nodes/workflow/flux2_workflow_settings.py b/nodes/workflow/flux2_workflow_settings.py
index 597dd28..897f6df 100644
--- a/nodes/workflow/flux2_workflow_settings.py
+++ b/nodes/workflow/flux2_workflow_settings.py
@@ -49,7 +49,7 @@ class TT_Flux2WorkflowSettings:
     CATEGORY = "TenserTensor/Workflow/FLUX2"
 
     def get_settings(self, seed, steps, cfg, sampler_name, width, height, guidance):
-        scheduler = get_schedule(seed, width, height)
+        scheduler = get_schedule(steps, width, height)
         sampler = S.sampler_object(sampler_name)
 
         workflow_config = {
diff --git a/pyproject.toml b/pyproject.toml
index 0c5c5ca..a719772 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -2,7 +2,7 @@
 [project]
 name = "ComfyUI-TenserTensor"
 description = "A collection of custom nodes for ComfyUI that streamline common workflows. Includes all-in-one model loaders (checkpoint, LoRA, CLIP, VAE), GGUF quantized model support (Flux, Flux.2, SDXL), workflow settings nodes, latent factory (aspect ratio, megapixel, Flux/SDXL), context nodes, CLIP text encoders, KSamplers, VAE decoders (basic, tiled, two-pass), and post-production tools (brightness, contrast, LUT color grading, film grain, upscaler)."
-version = "1.4.5"
+version = "1.4.6"
 license = { file = "LICENSE" }
 dependencies = ["gguf"]