Norod

#pip install hebrew

import sys
from hebrew import Hebrew

def open_input_file_name(file_name):
    try:
        file = open(file_name, "r")        
        return file
    except FileNotFoundError:

Norod

Norod

import tiktoken

test_string = "האיש האחרון עלי אדמות ישב לבד בחדרו, כשלפתע נשמעה דפיקה בדלת"

enc = tiktoken.get_encoding("cl100k_base")
encoded_text = enc.encode(test_string)
print(f'num of characters = {len(test_string)} encoded length = {len(encoded_text)} (cl100k_base)')
decoded_text = enc.decode(encoded_text)
assert  decoded_text == test_string

Norod

Norod

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch

#////////////////////////////////////////////////////////////////
guidance_scale=8.0
steps=40
width=512
height=512

Norod

from transformers import AutoTokenizer
tokenizer_heb = AutoTokenizer.from_pretrained("Norod78/hebrew-gpt_neo-small")
tokenizer_eng = AutoTokenizer.from_pretrained("gpt2")
prompt_text="שלום"
prompt_length = len(prompt_text)
encoded_prompt_heb = tokenizer_heb.encode(prompt_text, add_special_tokens=False, return_tensors="pt")
num_of_tokenz_heb = encoded_prompt_heb.size()[-1]
print(f"Hebrew tokenizer: Tokens = {num_of_tokenz_heb} length = {prompt_length}") #Hebrew tokenizer: Tokens = 1 length = 4

encoded_prompt_eng = tokenizer_eng.encode(prompt_text, add_special_tokens=False, return_tensors="pt")

Norod

import torch
import requests
from PIL import Image
from diffusers import StableDiffusionDepth2ImgPipeline

def main():
    device = "cuda" if torch.cuda.is_available() else "cpu"
    dtype = torch.float16 if device == "cuda" else torch.float32

    pipe = StableDiffusionDepth2ImgPipeline.from_pretrained(

Norod

Norod

import requests
import torch
from PIL import Image
from io import BytesIO

from diffusers import StableDiffusionImg2ImgPipeline, DPMSolverMultistepScheduler

def main():
#////////////////////////////////////////////
    seed = 42

Norod

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch

def main():
    #////////////////////////////////////////////
    seed = 42
    model = "Norod78/sd-simpsons-model"
    #////////////////////////////////////////////