modified: src/flux/util.py

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@@ -129,7 +129,7 @@ def load_flow_model(name: str, device: str | torch.device = "cuda", hf_download:
     return model
-def load_t5(device: str | torch.device = "cuda", max_length: int = 512) -> HFEmbedder:
     # max length 64, 128, 256 and 512 should work (if your sequence is short enough)
     return HFEmbedder("google/t5-v1_1-xl", max_length=max_length, is_clip=False, torch_dtype=torch.bfloat16).to(device)
     #return HFEmbedder("/homedata/HuggingFace/black-forest-labs/FLUX.1-dev/text_encoder_2", max_length=max_length, is_clip=False, torch_dtype=torch.bfloat16).to(device)

     return model
+def load_t5(device: str | torch.device = "cuda", max_length: int = 77) -> HFEmbedder:
     # max length 64, 128, 256 and 512 should work (if your sequence is short enough)
     return HFEmbedder("google/t5-v1_1-xl", max_length=max_length, is_clip=False, torch_dtype=torch.bfloat16).to(device)
     #return HFEmbedder("/homedata/HuggingFace/black-forest-labs/FLUX.1-dev/text_encoder_2", max_length=max_length, is_clip=False, torch_dtype=torch.bfloat16).to(device)