From a31681564d9bd49530df593d87048232acecd842 Mon Sep 17 00:00:00 2001
From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Date: Tue, 3 Feb 2026 21:03:21 -0800
Subject: [PATCH 1/4] Fix crash with ace step 1.5 (#12264)

---
 comfy/text_encoders/ace15.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/comfy/text_encoders/ace15.py b/comfy/text_encoders/ace15.py
index 73d71067174d..fce2b67cec97 100644
--- a/comfy/text_encoders/ace15.py
+++ b/comfy/text_encoders/ace15.py
@@ -19,6 +19,7 @@ def sample_manual_loop_no_classes(
     min_tokens: int = 1,
     max_new_tokens: int = 2048,
     audio_start_id: int = 151669,  # The cutoff ID for audio codes
+    audio_end_id: int = 215669,
     eos_token_id: int = 151645,
 ):
     device = model.execution_device
@@ -60,6 +61,7 @@ def sample_manual_loop_no_classes(
         remove_logit_value = torch.finfo(cfg_logits.dtype).min
         # Only generate audio tokens
         cfg_logits[:, :audio_start_id] = remove_logit_value
+        cfg_logits[:, audio_end_id:] = remove_logit_value
 
         if eos_token_id is not None and eos_token_id < audio_start_id and min_tokens < step:
             cfg_logits[:, eos_token_id] = eos_score

From 5087f1d497c5b615fbb5d1ff03fcc1df308bd025 Mon Sep 17 00:00:00 2001
From: comfyanonymous <comfyanonymous@protonmail.com>
Date: Wed, 4 Feb 2026 00:08:59 -0500
Subject: [PATCH 2/4] ComfyUI v0.12.2

---
 comfyui_version.py | 2 +-
 pyproject.toml     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/comfyui_version.py b/comfyui_version.py
index 2e2c12ced561..5d296cd1b680 100644
--- a/comfyui_version.py
+++ b/comfyui_version.py
@@ -1,3 +1,3 @@
 # This file is automatically generated by the build process when version is
 # updated in pyproject.toml.
-__version__ = "0.12.1"
+__version__ = "0.12.2"
diff --git a/pyproject.toml b/pyproject.toml
index c21ee03f1187..1ddcc3596b2c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "ComfyUI"
-version = "0.12.1"
+version = "0.12.2"
 readme = "README.md"
 license = { file = "LICENSE" }
 requires-python = ">=3.10"

From d30c609f5aa1d0cc75852815308adbb6ae21c644 Mon Sep 17 00:00:00 2001
From: rattus <46076784+rattus128@users.noreply.github.com>
Date: Tue, 3 Feb 2026 22:48:47 -0800
Subject: [PATCH 3/4] utils: safetensors: dont slice data on torch level
 (#12266)

Torch has alignment enforcement when viewing with data type changes
but only relative to itself. Do all tensor constructions straight
off the memory-view individually so pytorch doesnt see an alignment
problem.

The is needed for handling misaligned safetensors weights, which are
reasonably common in third party models.

This limits usage of this safetensors loader to GPU compute only
as CPUs kernnel are very likely to bus error. But it works for
dynamic_vram, where we really dont want to take a deep copy and we
always use GPU copy_ which disentangles the misalignment.
---
 comfy/utils.py | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/comfy/utils.py b/comfy/utils.py
index c1b5368334ef..1337e2205a04 100644
--- a/comfy/utils.py
+++ b/comfy/utils.py
@@ -82,14 +82,12 @@ def scalar(*args, **kwargs):
 def load_safetensors(ckpt):
     f = open(ckpt, "rb")
     mapping = mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)
+    mv = memoryview(mapping)
 
     header_size = struct.unpack("<Q", mapping[:8])[0]
     header = json.loads(mapping[8:8+header_size].decode("utf-8"))
 
-    with warnings.catch_warnings():
-        #We are working with read-only RAM by design
-        warnings.filterwarnings("ignore", message="The given buffer is not writable")
-        data_area = torch.frombuffer(mapping, dtype=torch.uint8)[8 + header_size:]
+    mv = mv[8 + header_size:]
 
     sd = {}
     for name, info in header.items():
@@ -97,7 +95,13 @@ def load_safetensors(ckpt):
             continue
 
         start, end = info["data_offsets"]
-        sd[name] = data_area[start:end].view(_TYPES[info["dtype"]]).view(info["shape"])
+        if start == end:
+            sd[name] = torch.empty(info["shape"], dtype =_TYPES[info["dtype"]])
+        else:
+            with warnings.catch_warnings():
+                #We are working with read-only RAM by design
+                warnings.filterwarnings("ignore", message="The given buffer is not writable")
+                sd[name] = torch.frombuffer(mv[start:end], dtype=_TYPES[info["dtype"]]).view(info["shape"])
 
     return sd, header.get("__metadata__", {}),
 

From ef73070ea422fde3daa0887b87e7ea6c94280abb Mon Sep 17 00:00:00 2001
From: rattus <46076784+rattus128@users.noreply.github.com>
Date: Tue, 3 Feb 2026 23:08:45 -0800
Subject: [PATCH 4/4] mp: Fix checkpoint saving (#12268)

Fix regression in the recent model saving refactor. Pass the non unet
pieces down the layers so that checkpoints are complete.
---
 comfy/model_patcher.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/comfy/model_patcher.py b/comfy/model_patcher.py
index cdf2893955e6..d888dbcfb08a 100644
--- a/comfy/model_patcher.py
+++ b/comfy/model_patcher.py
@@ -1400,7 +1400,7 @@ def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_
                 continue
             key = "diffusion_model." + k
             unet_state_dict[k] = LazyCastingParam(self, key, comfy.utils.get_attr(self.model, key))
-        return self.model.state_dict_for_saving(unet_state_dict)
+        return self.model.state_dict_for_saving(unet_state_dict, clip_state_dict=clip_state_dict, vae_state_dict=vae_state_dict, clip_vision_state_dict=clip_vision_state_dict)
 
     def __del__(self):
         self.unpin_all_weights()