From 189da3726d6e77a71d9bea04ddd420c1ceb7a327 Mon Sep 17 00:00:00 2001
From: Yoland Yan <4950057+yoland68@users.noreply.github.com>
Date: Tue, 25 Feb 2025 17:17:18 -0800
Subject: [PATCH 1/3] Update README.md (#6960)

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index b51f7a067..9d9a6a41e 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 <div align="center">
 
 # ComfyUI
-**The most powerful and modular diffusion model GUI and backend.**
+**The most powerful and modular visual AI engine and application.**
 
 
 [![Website][website-shield]][website-url]

From 0c32f822987ef2a3eb8f87f84b6b6d1f0b2f3832 Mon Sep 17 00:00:00 2001
From: comfyanonymous <comfyanonymous@protonmail.com>
Date: Tue, 25 Feb 2025 20:21:03 -0500
Subject: [PATCH 2/3] Fix missing frames in SaveWEBM node.

---
 comfy_extras/nodes_video.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/comfy_extras/nodes_video.py b/comfy_extras/nodes_video.py
index f3922e03d..53920ba18 100644
--- a/comfy_extras/nodes_video.py
+++ b/comfy_extras/nodes_video.py
@@ -59,6 +59,7 @@ class SaveWEBM:
             frame = av.VideoFrame.from_ndarray(torch.clamp(frame[..., :3] * 255, min=0, max=255).to(device=torch.device("cpu"), dtype=torch.uint8).numpy(), format="rgb24")
             for packet in stream.encode(frame):
                 container.mux(packet)
+        container.mux(stream.encode())
         container.close()
 
         results = [{

From cb06e9669b1e0a232f674cf685ba1abbac59f3d9 Mon Sep 17 00:00:00 2001
From: comfyanonymous <comfyanonymous@protonmail.com>
Date: Tue, 25 Feb 2025 21:37:12 -0500
Subject: [PATCH 3/3] Wan seems to work with fp16.

---
 comfy/supported_models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/comfy/supported_models.py b/comfy/supported_models.py
index 64611f58d..d39a03f25 100644
--- a/comfy/supported_models.py
+++ b/comfy/supported_models.py
@@ -911,7 +911,7 @@ class WAN21_T2V(supported_models_base.BASE):
 
     memory_usage_factor = 1.0
 
-    supported_inference_dtypes = [torch.bfloat16, torch.float32]
+    supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32]
 
     vae_key_prefix = ["vae."]
     text_encoder_key_prefix = ["text_encoders."]