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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 |