81 lines
3.5 KiB
Python
81 lines
3.5 KiB
Python
from modules import sd_hijack_clip
|
|
from modules import shared
|
|
|
|
|
|
def process_text_old(self: sd_hijack_clip.FrozenCLIPEmbedderWithCustomWordsBase, texts):
|
|
id_start = self.id_start
|
|
id_end = self.id_end
|
|
maxlen = self.wrapped.max_length # you get to stay at 77
|
|
used_custom_terms = []
|
|
remade_batch_tokens = []
|
|
hijack_comments = []
|
|
hijack_fixes = []
|
|
token_count = 0
|
|
|
|
cache = {}
|
|
batch_tokens = self.tokenize(texts)
|
|
batch_multipliers = []
|
|
for tokens in batch_tokens:
|
|
tuple_tokens = tuple(tokens)
|
|
|
|
if tuple_tokens in cache:
|
|
remade_tokens, fixes, multipliers = cache[tuple_tokens]
|
|
else:
|
|
fixes = []
|
|
remade_tokens = []
|
|
multipliers = []
|
|
mult = 1.0
|
|
|
|
i = 0
|
|
while i < len(tokens):
|
|
token = tokens[i]
|
|
|
|
embedding, embedding_length_in_tokens = self.hijack.embedding_db.find_embedding_at_position(tokens, i)
|
|
|
|
mult_change = self.token_mults.get(token) if shared.opts.enable_emphasis else None
|
|
if mult_change is not None:
|
|
mult *= mult_change
|
|
i += 1
|
|
elif embedding is None:
|
|
remade_tokens.append(token)
|
|
multipliers.append(mult)
|
|
i += 1
|
|
else:
|
|
emb_len = int(embedding.vec.shape[0])
|
|
fixes.append((len(remade_tokens), embedding))
|
|
remade_tokens += [0] * emb_len
|
|
multipliers += [mult] * emb_len
|
|
used_custom_terms.append((embedding.name, embedding.checksum()))
|
|
i += embedding_length_in_tokens
|
|
|
|
if len(remade_tokens) > maxlen - 2:
|
|
vocab = {v: k for k, v in self.wrapped.tokenizer.get_vocab().items()}
|
|
ovf = remade_tokens[maxlen - 2:]
|
|
overflowing_words = [vocab.get(int(x), "") for x in ovf]
|
|
overflowing_text = self.wrapped.tokenizer.convert_tokens_to_string(''.join(overflowing_words))
|
|
hijack_comments.append(f"Warning: too many input tokens; some ({len(overflowing_words)}) have been truncated:\n{overflowing_text}\n")
|
|
|
|
token_count = len(remade_tokens)
|
|
remade_tokens = remade_tokens + [id_end] * (maxlen - 2 - len(remade_tokens))
|
|
remade_tokens = [id_start] + remade_tokens[0:maxlen - 2] + [id_end]
|
|
cache[tuple_tokens] = (remade_tokens, fixes, multipliers)
|
|
|
|
multipliers = multipliers + [1.0] * (maxlen - 2 - len(multipliers))
|
|
multipliers = [1.0] + multipliers[0:maxlen - 2] + [1.0]
|
|
|
|
remade_batch_tokens.append(remade_tokens)
|
|
hijack_fixes.append(fixes)
|
|
batch_multipliers.append(multipliers)
|
|
return batch_multipliers, remade_batch_tokens, used_custom_terms, hijack_comments, hijack_fixes, token_count
|
|
|
|
|
|
def forward_old(self: sd_hijack_clip.FrozenCLIPEmbedderWithCustomWordsBase, texts):
|
|
batch_multipliers, remade_batch_tokens, used_custom_terms, hijack_comments, hijack_fixes, token_count = process_text_old(self, texts)
|
|
|
|
self.hijack.comments += hijack_comments
|
|
|
|
if len(used_custom_terms) > 0:
|
|
self.hijack.comments.append("Used embeddings: " + ", ".join([f'{word} [{checksum}]' for word, checksum in used_custom_terms]))
|
|
|
|
self.hijack.fixes = hijack_fixes
|
|
return self.process_tokens(remade_batch_tokens, batch_multipliers)
|