Muhammad Fathy Rashad mfrashad

💭

In University

23 years old ML engineer & full stack developer. I'm open for work/collaboration in generative ML field.

mfrashad / clothinggan_3.py

Created May 4, 2022 18:50

ClothingGAN - Demo UI

	#@title Demo UI
	import gradio as gr
	import numpy as np

	def generate_image(seed, c0, c1, c2, c3, c4, c5, c6):
	seed = int(seed)
	params = {'c0': c0,
	'c1': c1,
	'c2': c2,
	'c3': c3,

mfrashad / clothinggan_2.py

Created May 4, 2022 18:43

ClothingGAN - Define functions

	#@title Define functions
	def display_sample_pytorch(seed, truncation, directions, distances, scale, start, end, w=None, disp=True, save=None, noise_spec=None):
	# blockPrint()
	model.truncation = truncation
	if w is None:
	w = model.sample_latent(1, seed=seed).detach().cpu().numpy()
	w = [w]*model.get_max_latents() # one per layer
	else:
	w = [np.expand_dims(x, 0) for x in w]

mfrashad / clothinggan_1.py

Created May 4, 2022 18:40

ClothingGAN - Load model and components

	#@title Load Model
	# The model name, change this only
	selected_model = 'lookbook'

	# Load model
	import torch
	import numpy as np
	from PIL import Image
	from models import get_instrumented_model
	from decomposition import get_or_compute

mfrashad / clipit.py

Created September 28, 2021 15:16

	import sys
	sys.path.append("clipit")
	import clipit

	# To reset settings to default
	clipit.reset_settings()

	# You can use "\|" to separate multiple prompts
	prompts = "underwater city"

mfrashad / firebase_worker.py

Last active September 28, 2021 13:08

	import torch
	import clipit
	import time
	from datetime import datetime
	import firebase_admin
	from firebase_admin import credentials, firestore, storage

	if not firebase_admin._apps:
	cred = credentials.Certificate("YOUR_CREDENTIAL_FILE")
	firebase_admin.initialize_app(cred, {

mfrashad / fastapi_background.py

Created September 27, 2021 17:16

	#@title API Functions
	import clipit
	import torch
	from fastapi import FastAPI
	from fastapi.middleware.cors import CORSMiddleware
	from fastapi import FastAPI, File, UploadFile, Form, BackgroundTasks
	from fastapi.responses import FileResponse

	app = FastAPI()

mfrashad / send_email_mailgun.py

Created September 27, 2021 10:28

	import requests
	def email_results_mailgun(email, prompt):
	return requests.post("https://api.mailgun.net/v3/text2art.com/messages",
	auth=("api", "YOUR_MAILGUN_API_KEY"),
	files=[("attachment",("output.png", open("output.png", "rb").read() )),
	("attachment", ("output.mp4", open("output.mp4", "rb").read() ))],
	data={"from": "Text2Art <YOUR_EMAIL>",
	"to": email,
	"subject": "Your Artwork is ready!",
	"text": f'Your generated arts using the prompt "{prompt}".',

mfrashad / fastapi_ngrok.py

Created September 27, 2021 05:41

	import nest_asyncio
	from pyngrok import ngrok
	import uvicorn

	ngrok_tunnel = ngrok.connect(8000)
	print('Public URL:', ngrok_tunnel.public_url)
	print('Doc URL:', ngrok_tunnel.public_url+'/docs')
	nest_asyncio.apply()
	uvicorn.run(app, port=8000)

mfrashad / text2art_fastapi_1.py

Created September 27, 2021 05:29

	import clipit
	import torch
	from fastapi import FastAPI
	from fastapi.middleware.cors import CORSMiddleware
	from fastapi import FastAPI, File, UploadFile, Form, BackgroundTasks
	from fastapi.responses import FileResponse

	app = FastAPI()

	app.add_middleware(

mfrashad / text2art_gradio.py

Last active September 25, 2021 16:21

	import gradio as gr
	import torch
	import clipit

	# Define the main function
	def generate(prompt, quality, style, aspect):
	torch.cuda.empty_cache()
	clipit.reset_settings()

	use_pixeldraw = (style == 'pixel art')