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920fd91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | import torch
from transformers import T5EncoderModel, T5Config
class FluxTextEncoderT5(T5EncoderModel):
def __init__(self):
config = T5Config(**{
"architectures": [
"T5EncoderModel"
],
"classifier_dropout": 0.0,
"d_ff": 10240,
"d_kv": 64,
"d_model": 4096,
"decoder_start_token_id": 0,
"dense_act_fn": "gelu_new",
"dropout_rate": 0.1,
"dtype": "bfloat16",
"eos_token_id": 1,
"feed_forward_proj": "gated-gelu",
"initializer_factor": 1.0,
"is_encoder_decoder": True,
"is_gated_act": True,
"layer_norm_epsilon": 1e-06,
"model_type": "t5",
"num_decoder_layers": 24,
"num_heads": 64,
"num_layers": 24,
"output_past": True,
"pad_token_id": 0,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"tie_word_embeddings": False,
"transformers_version": "4.57.1",
"use_cache": True,
"vocab_size": 32128
})
super().__init__(config)
def forward(self, input_ids):
outputs = super().forward(input_ids=input_ids)
prompt_emb = outputs.last_hidden_state
return prompt_emb
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