Spaces:
Sleeping
Sleeping
Upload 3 files
Browse files- app.py +56 -0
- authtoken.py +2 -0
- requirements.txt +26 -0
app.py
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Libraries for building GUI
|
| 2 |
+
import tkinter as tk
|
| 3 |
+
import customtkinter as ctk
|
| 4 |
+
|
| 5 |
+
# Machine Learning libraries
|
| 6 |
+
import torch
|
| 7 |
+
from torch import autocast
|
| 8 |
+
from diffusers import StableDiffusionPipeline
|
| 9 |
+
|
| 10 |
+
# Libraries for processing image
|
| 11 |
+
from PIL import ImageTk
|
| 12 |
+
|
| 13 |
+
# private modules
|
| 14 |
+
from authtoken import auth_token
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
# Create app user interface
|
| 18 |
+
app = tk.Tk()
|
| 19 |
+
app.geometry("532x632")
|
| 20 |
+
app.title("Text to Image app")
|
| 21 |
+
app.configure(bg='black')
|
| 22 |
+
ctk.set_appearance_mode("dark")
|
| 23 |
+
|
| 24 |
+
# Create input box on the user interface
|
| 25 |
+
prompt = ctk.CTkEntry(height=40, width=512, text_font=("Arial", 15), text_color="white", fg_color="black")
|
| 26 |
+
prompt.place(x=10, y=10)
|
| 27 |
+
|
| 28 |
+
# Create a placeholder to show the generated image
|
| 29 |
+
img_placeholder = ctk.CTkLabel(height=512, width=512, text="")
|
| 30 |
+
img_placeholder.place(x=10, y=110)
|
| 31 |
+
|
| 32 |
+
# Download stable diffusion model from hugging face
|
| 33 |
+
modelid = "CompVis/stable-diffusion-v1-4"
|
| 34 |
+
device = "cuda"
|
| 35 |
+
stable_diffusion_model = StableDiffusionPipeline.from_pretrained(modelid, revision="fp16", torch_dtype=torch.float16, use_auth_token=auth_token)
|
| 36 |
+
stable_diffusion_model.to(device)
|
| 37 |
+
|
| 38 |
+
# Generate image from test
|
| 39 |
+
def generate():
|
| 40 |
+
""" This function generate image from a text with stable diffusion"""
|
| 41 |
+
with autocast(device):
|
| 42 |
+
image = stable_diffusion_model(prompt.get(), guidance_scale=8.5)["sample"][0]
|
| 43 |
+
|
| 44 |
+
# Save the generated image
|
| 45 |
+
image.save('generatedimage.png')
|
| 46 |
+
|
| 47 |
+
# Display the generated image on the user interface
|
| 48 |
+
img = ImageTk.PhotoImage(image)
|
| 49 |
+
img_placeholder.configure(image=img)
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
trigger = ctk.CTkButton(height=40, width=120, text_font=("Arial", 15), text_color="black", fg_color="white", command=generate)
|
| 53 |
+
trigger.configure(text="Generate")
|
| 54 |
+
trigger.place(x=206, y=60)
|
| 55 |
+
|
| 56 |
+
app.mainloop()
|
authtoken.py
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
auth_token = "YOUR HUGGING FACE TOKEN HERE"
|
| 2 |
+
# How to get one: https://huggingface.co/docs/hub/security-tokens
|
requirements.txt
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
certifi==2022.9.14
|
| 2 |
+
charset-normalizer==2.1.1
|
| 3 |
+
colorama==0.4.5
|
| 4 |
+
customtkinter==4.6.1
|
| 5 |
+
darkdetect==0.7.1
|
| 6 |
+
diffusers==0.3.0
|
| 7 |
+
filelock==3.8.0
|
| 8 |
+
huggingface-hub==0.9.1
|
| 9 |
+
idna==3.4
|
| 10 |
+
importlib-metadata==4.12.0
|
| 11 |
+
numpy==1.23.3
|
| 12 |
+
packaging==21.3
|
| 13 |
+
Pillow==9.2.0
|
| 14 |
+
pyparsing==3.0.9
|
| 15 |
+
PyYAML==6.0
|
| 16 |
+
regex==2022.9.13
|
| 17 |
+
requests==2.28.1
|
| 18 |
+
tk==0.1.0
|
| 19 |
+
torch
|
| 20 |
+
torchaudio
|
| 21 |
+
torchvision
|
| 22 |
+
tqdm==4.64.1
|
| 23 |
+
transformers==4.22.1
|
| 24 |
+
typing_extensions==4.3.0
|
| 25 |
+
urllib3==1.26.12
|
| 26 |
+
zipp==3.8.1
|