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import streamlit as st
import torch
from diffusers import DiffusionPipeline
# Model paths and settings
color_book_lora_path = "artificialguybr/ColoringBookRedmond-V2"
color_book_trigger = ", ColoringBookAF, Coloring Book"
@st.cache_resource
def load_pipeline(lora):
device = "cuda" if torch.cuda.is_available() else "cpu"
st.write(f"Using device: {device}") # Displaying the selected device
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0",
torch_dtype=torch.float16 if device == "cuda" else torch.float32,
use_safetensors=True,
variant="fp16" if device == "cuda" else None)
if lora != "None":
st.write(f"Loading Lora model: {color_book_lora_path}") # Debugging Lora loading
pipe.load_lora_weights(color_book_lora_path)
return pipe
def image_generation(pipe, prompt, negative_prompt):
try:
image = pipe(
prompt=prompt,
negative_prompt="blurred, ugly, watermark, low resolution" + negative_prompt,
num_inference_steps=20,
guidance_scale=9.0
).images[0]
return image
except Exception as e:
st.error(f"Error generating image: {str(e)}")
return None
# Data for different styles
table = [
{
"name": "sai-neonpunk",
"prompt": "neonpunk style . cyberpunk, vaporwave, neon, vibes, vibrant, stunningly beautiful, crisp, detailed, sleek, ultramodern, magenta highlights, dark purple shadows, high contrast, cinematic, ultra detailed, intricate, professional",
"negative_prompt": "painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured"
},
{
"name": "futuristic-retro cyberpunk",
"prompt": "retro cyberpunk. 80's inspired, synthwave, neon, vibrant, detailed, retro futurism",
"negative_prompt": "modern, desaturated, black and white, realism, low contrast"
},
{
"name": "Dark Fantasy",
"prompt": "Dark Fantasy Art, dark, moody, dark fantasy style",
"negative_prompt": "ugly, deformed, noisy, blurry, low contrast, bright, sunny"
},
{
"name": "Double Exposure",
"prompt": "Double Exposure Style, double image ghost effect, image combination, double exposure style",
"negative_prompt": "ugly, deformed, noisy, blurry, low contrast"
},
{
"name": "None",
"prompt": "8K ",
"negative_prompt": "painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured"
}
]
# Convert list to dict for easier lookup
styles_dict = {entry["name"]: entry for entry in table}
# Streamlit app title and styling
st.title("Coloring Book Generator")
st.markdown("<h2 style='text-align: center; color: #888;'>By Taizun</h2>", unsafe_allow_html=True)
# Add a header image
st.image("https://your-image-link.com", use_container_width=True) # Replace with your image URL or local path
# Prompt input from user
prompt = st.text_input("Enter your Prompt", value="A cute Lion")
# Dropdown for selecting Lora
select_lora = st.selectbox("Select your Lora", options=["Coloring Book", "None"])
# Dropdown for selecting style
style_name = st.selectbox("Select a Style", options=list(styles_dict.keys()))
# Display the selected style's prompt and negative prompt
if style_name:
selected_entry = styles_dict[style_name]
selected_style_prompt = selected_entry["prompt"]
selected_style_negative_prompt = selected_entry["negative_prompt"]
# Button for image generation
if st.button("Generate Image"):
with st.spinner("Generating your awesome image..."):
pipeline = load_pipeline(select_lora)
if select_lora == "None":
image = image_generation(pipeline, prompt + selected_style_prompt, selected_style_negative_prompt)
else:
image = image_generation(pipeline, prompt + selected_style_prompt + color_book_trigger, selected_style_negative_prompt)
if image:
st.image(image)
# Add a footer with credit by Taizun (smaller text)
st.markdown("""
<style>
.footer {
text-align: center;
font-size: 0.8rem;
color: #888;
margin-top: 30px;
}
</style>
<div class="footer">
<p>Created by Taizun | Powered by Streamlit</p>
</div>
""", unsafe_allow_html=True)
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