Better tokenizing code for AuraFlow.

This commit is contained in:
comfyanonymous 2024-07-12 01:08:45 -04:00
parent b6f09cf649
commit 29c2e26724
5 changed files with 25 additions and 1175 deletions

View File

@ -1,5 +1,5 @@
from comfy import sd1_clip
from transformers import LlamaTokenizerFast
from .llama_tokenizer import LLAMATokenizer
import comfy.t5
import os
@ -10,8 +10,8 @@ class PT5XlModel(sd1_clip.SDClipModel):
class PT5XlTokenizer(sd1_clip.SDTokenizer):
def __init__(self, embedding_directory=None):
tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer")
super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=LlamaTokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model")
super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=LLAMATokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
class AuraT5Tokenizer(sd1_clip.SD1Tokenizer):
def __init__(self, embedding_directory=None):

View File

@ -0,0 +1,22 @@
import os
class LLAMATokenizer:
@staticmethod
def from_pretrained(path):
return LLAMATokenizer(path)
def __init__(self, tokenizer_path):
import sentencepiece
self.tokenizer = sentencepiece.SentencePieceProcessor(model_file=tokenizer_path)
self.end = self.tokenizer.eos_id()
def get_vocab(self):
out = {}
for i in range(self.tokenizer.get_piece_size()):
out[self.tokenizer.id_to_piece(i)] = i
return out
def __call__(self, string):
out = self.tokenizer.encode(string)
out += [self.end]
return {"input_ids": out}

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@ -1,102 +0,0 @@
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}

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@ -1,125 +0,0 @@
{
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}
}

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@ -1,945 +0,0 @@
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