diff --git a/backend/sampling/sampling_function.py b/backend/sampling/sampling_function.py
index 1ad5a40b..87147c93 100644
--- a/backend/sampling/sampling_function.py
+++ b/backend/sampling/sampling_function.py
@@ -438,16 +438,27 @@ def sampling_prepare(unet, x):
     is_zimage = getattr(getattr(real_model, 'config', None), 'is_zimage', False)
 
     if is_zimage and hasattr(real_model, 'predictor') and hasattr(real_model.predictor, 'apply_mu_transform'):
-        # Z-Image uses patch_size=2, so sequence length = (H/2) * (W/2)
-        image_seq_len = (H // 2) * (W // 2)
-        real_model.predictor.apply_mu_transform(
-            seq_len=image_seq_len,
-            base_seq_len=256,
-            max_seq_len=4096,
-            base_shift=0.5,
-            max_shift=1.15,
-        )
-        print(f"Z-Image: Updated mu for {H}x{W} latents (seq_len={image_seq_len}, mu={real_model.predictor.mu:.4f})")
+        from modules.shared import opts
+
+        # Check if user specified a manual shift value
+        manual_shift = getattr(opts, 'zimage_shift', 0.0)
+
+        if manual_shift > 0:
+            # Use manual shift value directly
+            real_model.predictor.apply_mu_transform(mu=manual_shift)
+            print(f"Z-Image: Using manual mu={manual_shift:.4f} for {H}x{W} latents")
+        else:
+            # Calculate dynamic shift based on resolution
+            # Z-Image uses patch_size=2, so sequence length = (H/2) * (W/2)
+            image_seq_len = (H // 2) * (W // 2)
+            real_model.predictor.apply_mu_transform(
+                seq_len=image_seq_len,
+                base_seq_len=256,
+                max_seq_len=4096,
+                base_shift=0.5,
+                max_shift=1.15,
+            )
+            print(f"Z-Image: Auto mu for {H}x{W} latents (seq_len={image_seq_len}, mu={real_model.predictor.mu:.4f})")
 
     # Set up Z-Image CFG handlers
     if is_zimage:
diff --git a/modules/shared_options.py b/modules/shared_options.py
index 5280cb05..2c1e10f3 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -201,6 +201,7 @@ options_templates.update(options_section(('sd3', "Stable Diffusion 3", "sd"), {
 options_templates.update(options_section(('zimage', "Z-Image", "sd"), {
     "zimage_prompt_expansion_max_tokens": OptionInfo(512, "Prompt expansion max tokens", gr.Slider, {"minimum": 128, "maximum": 1024, "step": 64}).info("maximum number of tokens to generate when expanding prompts"),
     "zimage_prompt_expansion_temperature": OptionInfo(0.7, "Prompt expansion temperature", gr.Slider, {"minimum": 0.1, "maximum": 1.5, "step": 0.1}).info("higher = more creative, lower = more focused"),
+    "zimage_shift": OptionInfo(0.0, "Time Shift (mu)", gr.Slider, {"minimum": 0.0, "maximum": 30.0, "step": 0.05}).info("0=auto (resolution-dependent, recommended); manual: 0.5-1.15 typical range; higher=more denoising in early steps"),
     "zimage_cfg_normalization": OptionInfo(0.0, "CFG Normalization", gr.Slider, {"minimum": 0.0, "maximum": 3.0, "step": 0.1}).info("rescale CFG result if norm exceeds this multiple of original; 0=disabled, 1.5-2.0 recommended; prevents over-saturation at high CFG"),
     "zimage_cfg_truncation": OptionInfo(1.0, "CFG Truncation", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.05}).info("disable CFG after this fraction of steps; 1.0=never truncate, 0.5=disable CFG for last 50% of steps; reduces artifacts"),
 }))