xinyun/ComfyUI-CogVideoXWrapper
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attention compile works with higher cache_size_limit

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kijai 2024-11-09 22:56:50 +02:00
parent a630bb3314
commit fb246f95ef
2 changed files with 5 additions and 2 deletions
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2
custom_cogvideox_transformer_3d.py
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@ -71,7 +71,7 @@ class CogVideoXAttnProcessor2_0:
if not hasattr(F, "scaled_dot_product_attention"): if not hasattr(F, "scaled_dot_product_attention"):
raise ImportError("CogVideoXAttnProcessor requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.") raise ImportError("CogVideoXAttnProcessor requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
@torch.compiler.disable() #@torch.compiler.disable()
def __call__( def __call__(
self, self,
attn: Attention, attn: Attention,

5
model_loading.py
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@ -262,7 +262,10 @@ class DownloadAndLoadCogVideoModel:
for l in lora: for l in lora:
pipe.set_adapters(adapter_list, adapter_weights=adapter_weights) pipe.set_adapters(adapter_list, adapter_weights=adapter_weights)
if fuse: if fuse:
pipe.fuse_lora(lora_scale=1 / lora_rank, components=["transformer"]) lora_scale = 1
if "dimensionx" in lora[-1]["path"].lower():
lora_scale = lora_scale / lora_rank
pipe.fuse_lora(lora_scale=lora_scale, components=["transformer"])
if enable_sequential_cpu_offload: if enable_sequential_cpu_offload:
pipe.enable_sequential_cpu_offload() pipe.enable_sequential_cpu_offload()