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Fix Windows safetensors load order to prevent crash #61

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Fix Windows safetensors load order to prevent crash #61

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10 changes: 7 additions & 3 deletions packages/ltx-core/src/ltx_core/loader/fuse_loras.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,11 @@
import torch
import triton

from ltx_core.loader.kernels import fused_add_round_kernel
try:
import triton
from ltx_core.loader.kernels import fused_add_round_kernel
TRITON_AVAILABLE = True
except ImportError:
TRITON_AVAILABLE = False
from ltx_core.loader.primitives import LoraStateDictWithStrength, StateDict

BLOCK_SIZE = 1024
Expand Down Expand Up @@ -84,7 +88,7 @@ def apply_loras(
continue
deltas = weight.clone().to(dtype=target_dtype, device=device)
elif weight.dtype == torch.float8_e4m3fn:
if str(device).startswith("cuda"):
if TRITON_AVAILABLE and str(device).startswith("cuda"):
deltas = calculate_weight_float8_(deltas, weight)
else:
deltas.add_(weight.to(dtype=deltas.dtype, device=device))
Expand Down
2 changes: 1 addition & 1 deletion packages/ltx-core/src/ltx_core/loader/single_gpu_model_builder.py
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Expand Up @@ -72,9 +72,9 @@ def _return_model(self, meta_model: ModelType, device: torch.device) -> ModelTyp
def build(self, device: torch.device | None = None, dtype: torch.dtype | None = None) -> ModelType:
device = torch.device("cuda") if device is None else device
config = self.model_config()
meta_model = self.meta_model(config, self.module_ops)
model_paths = self.model_path if isinstance(self.model_path, tuple) else [self.model_path]
model_state_dict = self.load_sd(model_paths, sd_ops=self.model_sd_ops, registry=self.registry, device=device)
meta_model = self.meta_model(config, self.module_ops)

lora_strengths = [lora.strength for lora in self.loras]
if not lora_strengths or (min(lora_strengths) == 0 and max(lora_strengths) == 0):
Expand Down