stable-diffusion-webui-forge / modules /sd_hijack_clip_old.py
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# 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.emphasis != "None" 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 used_custom_terms:
# embedding_names = ", ".join(f"{word} [{checksum}]" for word, checksum in used_custom_terms)
# self.hijack.comments.append(f"Used embeddings: {embedding_names}")
#
# self.hijack.fixes = hijack_fixes
# return self.process_tokens(remade_batch_tokens, batch_multipliers)