[pull] master from Comfy-Org:master

comfy/background_removal/birefnet.py

@@ -105,7 +105,7 @@ def forward(self, x, mask=None):
 
         relative_position_bias = self.relative_position_bias_table[self.relative_position_index.long().view(-1)].view(
             self.window_size[0] * self.window_size[1], self.window_size[0] * self.window_size[1], -1)  # Wh*Ww,Wh*Ww,nH
-        relative_position_bias = relative_position_bias.permute(2, 0, 1).contiguous()  # nH, Wh*Ww, Wh*Ww
+        relative_position_bias = comfy.ops.cast_to_input(relative_position_bias.permute(2, 0, 1).contiguous(), attn)  # nH, Wh*Ww, Wh*Ww
         attn = attn + relative_position_bias.unsqueeze(0)
 
         if mask is not None:

comfy/clip_vision.py

@@ -2,7 +2,6 @@
 import os
 import json
 import logging
-import torch
 
 import comfy.ops
 import comfy.model_patcher
@@ -50,10 +49,6 @@ def __init__(self, json_config):
         self.load_device = comfy.model_management.text_encoder_device()
         offload_device = comfy.model_management.text_encoder_offload_device()
         self.dtype = comfy.model_management.text_encoder_dtype(self.load_device)
-        if self.model_type == "dinov3" and self.dtype == torch.float16:
-            # DINOv3's activations borderline fits fp16, preferring bf16 if available for better stability #TODO: further fp16 tests in practice
-            if comfy.model_management.should_use_bf16(self.load_device, prioritize_performance=True):
-                self.dtype = torch.bfloat16
         self.model = model_class(config, self.dtype, offload_device, comfy.ops.manual_cast)
         self.model.eval()
 

comfy/image_encoders/dino3.py

@@ -166,9 +166,8 @@ def __init__(self, hidden_size, num_register_tokens, num_channels, patch_size, d
 
     def forward(self, pixel_values, bool_masked_pos=None):
         batch_size = pixel_values.shape[0]
-        target_dtype = self.patch_embeddings.weight.dtype
 
-        patch_embeddings = self.patch_embeddings(pixel_values.to(dtype=target_dtype))
+        patch_embeddings = self.patch_embeddings(pixel_values)
         patch_embeddings = patch_embeddings.flatten(2).transpose(1, 2)
 
         if bool_masked_pos is not None:
@@ -244,7 +243,6 @@ def get_input_embeddings(self):
         return self.embeddings.patch_embeddings
 
     def forward(self, pixel_values, bool_masked_pos=None, **kwargs):
-        pixel_values = pixel_values.to(self.embeddings.patch_embeddings.weight.dtype)
         hidden_states = self.embeddings(pixel_values, bool_masked_pos=bool_masked_pos)
         position_embeddings = self.rope_embeddings(pixel_values)
 

comfy_extras/nodes_triposplat.py

@@ -233,7 +233,9 @@ def callback(step, x0, x, total_steps):
                     return
                 try:
                     if not state["loaded"]:
-                        comfy.model_management.load_models_gpu([vae.patcher], memory_required=memory_required)
+                        loaded_models = comfy.model_management.loaded_models(only_currently_used=True)
+                        loaded_models.append(vae.patcher)
+                        comfy.model_management.load_models_gpu(loaded_models, memory_required=memory_required)
                         state["loaded"] = True
                     img = decode_x0_to_image(vae, x0, cfg)
                     if state["pbar"] is None:

comfyui_version.py

@@ -1,3 +1,3 @@
 # This file is automatically generated by the build process when version is
 # updated in pyproject.toml.
-__version__ = "0.22.0"
+__version__ = "0.23.0"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ComfyUI"
-version = "0.22.0"
+version = "0.23.0"
 readme = "README.md"
 license = { file = "LICENSE" }
 requires-python = ">=3.10"