feat: add proxyWidgetSelector to subgraph blueprints

If you are on a recent chromium or chrome based browser this doesn't affect you.

This is to give time for the lazy firefox devs to implement PNA.

README.md

@@ -61,6 +61,7 @@ See what ComfyUI can do with the [newer template workflows](https://comfy.org/wo
 
 ## Features
 - Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
+- NOTE: There are many more models supported than the list below, if you want to see what is supported see our templates list inside ComfyUI.
 - Image Models
    - SD1.x, SD2.x ([unCLIP](https://comfyanonymous.github.io/ComfyUI_examples/unclip/))
    - [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)

comfy/ldm/modules/encoders/noise_aug_modules.py

@@ -3,12 +3,9 @@ from ..diffusionmodules.openaimodel import Timestep
 import torch
 
 class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation):
-    def __init__(self, *args, clip_stats_path=None, timestep_dim=256, **kwargs):
+    def __init__(self, *args, timestep_dim=256, **kwargs):
         super().__init__(*args, **kwargs)
-        if clip_stats_path is None:
-            clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim)
-        else:
-            clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu")
+        clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim)
         self.register_buffer("data_mean", clip_mean[None, :], persistent=False)
         self.register_buffer("data_std", clip_std[None, :], persistent=False)
         self.time_embed = Timestep(timestep_dim)

comfy/sd.py

@@ -1745,6 +1745,8 @@ def load_diffusion_model_state_dict(sd, model_options={}, metadata=None, disable
     temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True)
     if len(temp_sd) > 0:
         sd = temp_sd
+        if custom_operations is None:
+            sd, metadata = comfy.utils.convert_old_quants(sd, "", metadata=metadata)
 
     parameters = comfy.utils.calculate_parameters(sd)
     weight_dtype = comfy.utils.weight_dtype(sd)

requirements.txt

@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.42.8
-comfyui-workflow-templates==0.9.39
+comfyui-workflow-templates==0.9.41
 comfyui-embedded-docs==0.4.3
 torch
 torchsde

server.py

@@ -146,6 +146,10 @@ def is_loopback(host):
 def create_origin_only_middleware():
     @web.middleware
     async def origin_only_middleware(request: web.Request, handler):
+        if 'Sec-Fetch-Site' in request.headers:
+            sec_fetch_site = request.headers['Sec-Fetch-Site']
+            if sec_fetch_site == 'cross-site':
+                return web.Response(status=403)
         #this code is used to prevent the case where a random website can queue comfy workflows by making a POST to 127.0.0.1 which browsers don't prevent for some dumb reason.
         #in that case the Host and Origin hostnames won't match
         #I know the proper fix would be to add a cookie but this should take care of the problem in the meantime