diff --git a/modules/mit_nunchaku.py b/modules/mit_nunchaku.py
index ea616fe5b..c15ccbd62 100644
--- a/modules/mit_nunchaku.py
+++ b/modules/mit_nunchaku.py
@@ -65,12 +65,16 @@ def install_nunchaku(force=False):
                 log.error(f'Nunchaku: torch={torch.__version__} cuda="unknown"')
                 return False
             if cuda_ver.startswith('cu13'):
-                nunchaku_versions = ['1.2.1', '1.2.0', '1.1.0', '1.0.2', '1.0.1']
+                nunchaku_versions = ['1.3.0dev20260306', '1.2.1', '1.2.0', '1.1.0', '1.0.2', '1.0.1']
             else:
                 nunchaku_versions = ['1.2.1', '1.0.2', '1.0.1'] # 1.2.0 and 1.1.0 imply cu13 but do not specify it
             for v in nunchaku_versions:
                 url = f'https://github.com/nunchaku-ai/nunchaku/releases/download/v{v}/'
-                fn = f'nunchaku-{v}+{cuda_ver}torch{torch_ver}-cp{python_ver}-cp{python_ver}-{suffix}.whl'
+                if 'dev' in v:
+                    v = v.replace('dev', '.dev')
+                    fn = f'nunchaku-{v}+{cuda_ver}torch{torch_ver}-cp{python_ver}-cp{python_ver}-{suffix}.whl'
+                else:
+                    fn = f'nunchaku-{v}+{cuda_ver}torch{torch_ver}-cp{python_ver}-cp{python_ver}-{suffix}.whl'
                 result, _output = pip(f'install --upgrade {url+fn}', uv=False, ignore=True, quiet=True)
                 if (result is None) or (_output == 'offline'):
                     log.error(f'Nunchaku: install url="{url+fn}" offline mode')
diff --git a/modules/model_quant.py b/modules/model_quant.py
index 0cb6c05b2..5b0dcfa81 100644
--- a/modules/model_quant.py
+++ b/modules/model_quant.py
@@ -206,6 +206,8 @@ def check_nunchaku(module: str = ''):
         if module in nunchaku_modules:
             from modules import mit_nunchaku
             mit_nunchaku.install_nunchaku()
+            import torch._dynamo
+            torch._dynamo.config.recompile_limit = 16 # Set a higher limit # pylint: disable=protected-access
             return mit_nunchaku.ok
     return False
 
diff --git a/modules/ui_definitions.py b/modules/ui_definitions.py
index 82e53e406..af990c0a3 100644
--- a/modules/ui_definitions.py
+++ b/modules/ui_definitions.py
@@ -592,7 +592,6 @@ def create_settings(cmd_opts):
         "postprocessing_sep_seedvr": OptionInfo("<h2>SeedVR</h2>", "", gr.HTML),
         "seedvr_cfg_scale": OptionInfo(3.5, "SeedVR CFG Scale", gr.Slider, {"minimum": 1, "maximum": 15, "step": 1}),
 
-
         "postprocessing_sep_upscalers": OptionInfo("<h2>Upscaling</h2>", "", gr.HTML),
         "upscaler_unload": OptionInfo(False, "Unload upscaler after processing"),
         "upscaler_latent_steps": OptionInfo(20, "Upscaler latent steps", gr.Slider, {"minimum": 4, "maximum": 100, "step": 1}),
@@ -604,7 +603,6 @@ def create_settings(cmd_opts):
         "resize_linearize_srgb": OptionInfo(True, "Apply sRGB linearization"),
     }))
 
-
     # --- Huggingface ---
     options_templates.update(options_section(('huggingface', "Huggingface"), {
         "huggingface_sep": OptionInfo("<h2>Huggingface</h2>", "", gr.HTML),
diff --git a/pipelines/model_z_image.py b/pipelines/model_z_image.py
index e619de619..c75c2b9af 100644
--- a/pipelines/model_z_image.py
+++ b/pipelines/model_z_image.py
@@ -1,6 +1,7 @@
 import torch
 import transformers
 import diffusers
+from huggingface_hub import hf_hub_download
 from modules import shared, devices, sd_models, model_quant, sd_hijack_te
 from modules.logger import log
 from pipelines import generic
@@ -13,11 +14,12 @@ def load_nunchaku():
     nunchaku_precision = nunchaku.utils.get_precision()
     nunchaku_rank = 128
     nunchaku_repo = f"nunchaku-ai/nunchaku-z-image-turbo/svdq-{nunchaku_precision}_r{nunchaku_rank}-z-image-turbo.safetensors"
+    repo_id, filename = nunchaku_repo.rsplit('/', 1)
     log.debug(f'Load module: quant=Nunchaku module=transformer repo="{nunchaku_repo}" attention={shared.opts.nunchaku_attention}')
+    local_path = hf_hub_download(repo_id=repo_id, filename=filename, cache_dir=shared.opts.hfcache_dir)
     transformer = nunchaku.NunchakuZImageTransformer2DModel.from_pretrained( # pylint: disable=no-member
-        nunchaku_repo,
+        local_path,
         torch_dtype=devices.dtype,
-        cache_dir=shared.opts.hfcache_dir,
     )
     return transformer