fixed standin with boost off

Author: deepbeepmeep

models/wan/modules/model.py

@@ -1306,7 +1306,7 @@ def forward(
         if standin_ref is not None:
             standin_cache_enabled = False
             kwargs["standin_phase"] = 2
-            if (current_step == 0 or not standin_cache_enabled) and x_id == 0:
+            if current_step == 0 or not standin_cache_enabled :
                 standin_x = self.patch_embedding(standin_ref).to(modulation_dtype).flatten(2).transpose(1, 2)
                 standin_e = self.time_embedding( sinusoidal_embedding_1d(self.freq_dim, torch.zeros_like(t)).to(modulation_dtype) )
                 standin_e0 = self.time_projection(standin_e).unflatten(1, (6, self.dim)).to(e.dtype)
@@ -1453,7 +1453,7 @@ def forward(
                     return [None] * len(x_list)
 
                 if standin_x is not None:
-                    if not standin_cache_enabled and x_id ==0 : get_cache("standin").clear()
+                    if not standin_cache_enabled: get_cache("standin").clear()
                     standin_x = block(standin_x, context = None, grid_sizes = None, e= standin_e0, freqs = standin_freqs, standin_phase = 1)
 
                 if slg_layers is not None and block_idx in slg_layers:

wgp.py

@@ -1,4 +1,8 @@
 import os
+# # os.environ.pop("TORCH_LOGS", None)  # make sure no env var is suppressing/overriding
+# os.environ["TORCH_LOGS"]= "recompiles"
+import torch._logging as tlog
+# tlog.set_logs(recompiles=True, guards=True, graph_breaks=True)    
 import time
 import sys
 import threading
@@ -55,7 +59,7 @@
 PROMPT_VARS_MAX = 10
 
 target_mmgp_version = "3.5.10"
-WanGP_version = "8.2"
+WanGP_version = "8.21"
 settings_version = 2.27
 max_source_video_frames = 3000
 prompt_enhancer_image_caption_model, prompt_enhancer_image_caption_processor, prompt_enhancer_llm_model, prompt_enhancer_llm_tokenizer = None, None, None, None
@@ -4308,10 +4312,6 @@ def generate_video(
     model_filename,
     mode,
 ):
-    # import os
-    # os.environ.pop("TORCH_LOGS", None)  # make sure no env var is suppressing/overriding
-    # import torch._logging as tlog
-    # tlog.set_logs(recompiles=True, guards=True, graph_breaks=True)