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from .utils import Prompter, tokenize_long_prompt
from transformers import CLIPTokenizer
from ..models import SDTextEncoder
import os
class SDPrompter(Prompter):
def __init__(self, tokenizer_path=None):
if tokenizer_path is None:
base_path = os.path.dirname(os.path.dirname(__file__))
tokenizer_path = os.path.join(base_path, "tokenizer_configs/stable_diffusion/tokenizer")
super().__init__()
self.tokenizer = CLIPTokenizer.from_pretrained(tokenizer_path)
def encode_prompt(self, text_encoder: SDTextEncoder, prompt, clip_skip=1, device="cuda", positive=True):
prompt = self.process_prompt(prompt, positive=positive)
input_ids = tokenize_long_prompt(self.tokenizer, prompt).to(device)
prompt_emb = text_encoder(input_ids, clip_skip=clip_skip)
prompt_emb = prompt_emb.reshape((1, prompt_emb.shape[0]*prompt_emb.shape[1], -1))
return prompt_emb |