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# Adapted from https://github.com/borisdayma/dalle-mini/blob/main/tools/train/train.py

import random
from dataclasses import dataclass, field
from functools import partial

import jax
import jax.numpy as jnp
import numpy as np
from datasets import Dataset, load_dataset

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import timeit

from optimum.onnxruntime import ORTStableDiffusionPipeline

from diffusers import StableDiffusionPipeline
import numpy as np

model_id = "runwayml/stable-diffusion-v1-5"
onnx_model_id = "sayakpaul/onnx-stable-diffusion-v1-5"
prompt = "a photo of an astronaut riding a horse on mars"

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To run

export MODEL_NAME="CompVis/stable-diffusion-v1-4"
export DATASET_NAME="lambdalabs/pokemon-blip-captions"

accelerate launch --mixed_precision="fp16"  train_text_to_image.py   \
	--pretrained_model_name_or_path=$MODEL_NAME --dataset_name=$DATASET_NAME \

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#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

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import tensorflow as tf

tf.keras.mixed_precision.set_global_policy("mixed_float16")

import glob
import os

import keras_cv
import numpy as np
import PIL

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"""
Usage: python run_semantic_segmentation.py

References:
    * https://www.tensorflow.org/tutorials/images/segmentation#define_the_model
    * https://huggingface.co/docs/transformers/main/en/tasks/semantic_segmentation
"""

import os
import uuid

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"""
Referred from https://stackoverflow.com/questions/534839/how-to-create-a-guid-uuid-in-python
"""

import os
import uuid
from concurrent.futures import ThreadPoolExecutor

import pandas as pd
import requests

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