CoffeeVampir3

import torch, os, sys, glob
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from model import ExLlama, ExLlamaCache, ExLlamaConfig
from lora import ExLlamaLora
from tokenizer import ExLlamaTokenizer
from generator import ExLlamaGenerator
from initialize import initialize_session, intitialize_model
from token_processor import KillSequenceProcessor

class ChatSession:

CoffeeVampir3

CoffeeVampir3

CoffeeVampir3

CoffeeVampir3

import torch

from pipe import StableDiffusionXLPipelineNoWatermark
from pipei2i import StableDiffusionXLImg2ImgPipelineNoWatermark
from diffusers import DiffusionPipeline
from PIL import Image
import os
import gc
import pandas as pd
import random, sys

CoffeeVampir3

import json
import argparse
import os
import re
from transformers import AutoTokenizer
from langchain.text_splitter import RecursiveCharacterTextSplitter

def l(tokenizer, txt):
    return len(tokenizer.encode(txt))

CoffeeVampir3

CoffeeVampir3

CoffeeVampir3

import cuda_ext
from model import ExLlama, ExLlamaCache
from lora import ExLlamaLora
import torch
import torch.nn.functional as F
from healing import *

class ExLlamaGenerator:

    class Settings:

CoffeeVampir3

import json
import re
import string
import sys

def clean_text(text):
    # Strip leading and trailing white space
    text = text.strip()
    
    # Replace consecutive white space characters with a single space