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# system
import os
os.system("gdown https://drive.google.com/uc?id=1--27E5dk8GzgvpVL0ofr-m631iymBpUH")
os.system("gdown https://drive.google.com/uc?id=191a5lTsUPQ1hXaeo6kVNbo_W3WYuXsmF")
# plot
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
# gradio
import gradio as gr
# text2punks utils
from text2punks.utils import to_pil_image, model_loader, generate_image
batch_size = 32
num_images = 32
top_prediction = 8
# nobs to tune
top_k = 0.8
temperature = 1.25
# helper functions
def compose_predictions(images):
increased_h = 0
h, w = images[0].shape[0], images[0].shape[1]
image_grid = Image.new("RGB", (len(images)*w, h))
for i, img_ in enumerate(images):
image_grid.paste(to_pil_image(img_), (i*w, increased_h))
return img
def run_inference(prompt, num_images=32, num_preds=8):
t2p_path, clip_path = './Text2Punk-final-7.pt', './clip-final.pt'
text2punk, clip = model_loader(t2p_path, clip_path)
images = generate_image(prompt_text=prompt, top_k=top_k, temperature=temperature, num_images=num_images, batch_size=batch_size, top_prediction=top_prediction, text2punk_model=text2punk, clip_model=clip)
predictions = compose_predictions(images)
output_title = f"""
<b>{prompt}</b>
"""
return (output_title, predictions)
outputs = [
gr.outputs.HTML(label=""), # To be used as title
gr.outputs.Image(label=''),
]
description = """
Text2Cryptopunks is an AI model that generates Cryptopunks images from text prompt:
"""
gr.Interface(run_inference,
inputs=[gr.inputs.Textbox(label='type somthing like this : "An Ape CryptoPunk that has 2 Attributes, a Pigtails and a Medical Mask."')],
outputs=outputs,
title='Text2Cryptopunks',
description=description,
article="<p style='text-align: center'> Created by kTonpa | <a href='https://github.com/kTonpa/Text2CryptoPunks'>GitHub</a>",
layout='vertical',
theme='huggingface',
examples=[['Cute Alien cryptopunk that has a 2 Attributes, a Pipe, and a Beanie.'], ['A low resolution photo of punky-looking Ape that has 2 Attributes, a Beanie, and a Medical Mask.']],
allow_flagging=False,
live=False,
# server_port=8999
).launch(share=True)
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