import gradio as gr
import requests
import io
import random
import os
from PIL import Image
# List of available models
list_models = [
"SDXL-1.0", "SD-1.5", "OpenJourney-V4", "Anything-V4",
"Disney-Pixar-Cartoon", "Pixel-Art-XL", "Dalle-3-XL", "Midjourney-V4-XL",
]
# Function to generate images from text
def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7, seed=None):
if current_model == "SD-1.5":
API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
elif current_model == "SDXL-1.0":
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
elif current_model == "OpenJourney-V4":
API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney"
elif current_model == "Anything-V4":
API_URL = "https://api-inference.huggingface.co/models/xyn-ai/anything-v4.0"
elif current_model == "Disney-Pixar-Cartoon":
API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/disney-pixar-cartoon"
elif current_model == "Pixel-Art-XL":
API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
elif current_model == "Dalle-3-XL":
API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
elif current_model == "Midjourney-V4-XL":
API_URL = "https://api-inference.huggingface.co/models/openskyml/midjourney-v4-xl"
API_TOKEN = os.environ.get("HF_READ_TOKEN")
headers = {"Authorization": f"Bearer {API_TOKEN}"}
if image_style == "None style":
payload = {
"inputs": prompt + ", 8k",
"is_negative": is_negative,
"steps": steps,
"cfg_scale": cfg_scale,
"seed": seed if seed is not None else random.randint(-1, 2147483647)
}
elif image_style == "Cinematic":
payload = {
"inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko",
"is_negative": is_negative + ", abstract, cartoon, stylized",
"steps": steps,
"cfg_scale": cfg_scale,
"seed": seed if seed is not None else random.randint(-1, 2147483647)
}
elif image_style == "Digital Art":
payload = {
"inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star",
"is_negative": is_negative + ", sharp , modern , bright",
"steps": steps,
"cfg_scale": cfg_scale,
"seed": seed if seed is not None else random.randint(-1, 2147483647)
}
elif image_style == "Portrait":
payload = {
"inputs": prompt + ", soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)",
"is_negative": is_negative,
"steps": steps,
"cfg_scale": cfg_scale,
"seed": seed if seed is not None else random.randint(-1, 2147483647)
}
image_bytes = requests.post(API_URL, headers=headers, json=payload).content
image = Image.open(io.BytesIO(image_bytes))
return image
css = """
/* Custom CSS */
.gradio-container {
font-family: 'IBM Plex Sans', sans-serif;
max-width: 900px;
margin: auto;
padding: 2rem;
border-radius: 15px;
box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.2);
text-align: center; /* Center the content horizontally */
}
/* Button Styles */
.gr-button {
color: white;
background-color: #007bff; /* Use a primary color for the background */
border: none;
padding: 10px 20px;
border-radius: 8px;
cursor: pointer;
transition: background-color 0.3s, color 0.3s;
}
.gr-button:hover {
background-color: #0056b3; /* Darken the background color on hover */
}
/* Custom CSS */
.gradio-container {
font-family: 'IBM Plex Sans', sans-serif;
max-width: 900px;
margin: auto;
padding: 2rem;
border-radius: 15px;
box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.2);
text-align: center; /* Center the content horizontally */
}
/* Button Styles */
.gr-button {
color: white;
background-color: #007bff; /* Use a primary color for the background */
border: none;
padding: 10px 20px;
border-radius: 8px;
cursor: pointer;
transition: background-color 0.3s, color 0.3s;
}
.gr-button:hover {
background-color: #0056b3; /* Darken the background color on hover */
}
/* Textbox Styles */
.gr-textbox {
border-radius: 8px;
border: 1px solid #ccc;
padding: 10px;
transition: border-color 0.3s;
}
.gr-textbox:focus {
border-color: #007bff;
outline: none;
}
/* Gallery Styles */
#gallery {
display: flex;
justify-content: center;
align-items: center;
margin-top: 2rem;
}
/* Automatically adjust photo size */
#gallery img {
max-width: 100%;
height: auto;
border-radius: 12px;
box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2);
}
"""
# Creating Gradio interface
with gr.Blocks(css=css) as demo:
with gr.Row():
with gr.Column():
gr.Markdown("AI Diffusion
")
current_model = gr.Dropdown(label="Select Model", choices=list_models, value=list_models[1])
text_prompt = gr.Textbox(label="Enter Prompt", placeholder="Example: a cute dog", lines=2)
generate_button = gr.Button("Generate Image", variant='primary')
with gr.Column():
gr.Markdown("Advanced Settings
")
with gr.Accordion("Advanced Customizations", open=False):
negative_prompt = gr.Textbox(label="Negative Prompt (Optional)", placeholder="Example: blurry, unfocused", lines=2)
image_style = gr.Dropdown(label="Select Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style")
# Add more options if needed
with gr.Row():
image_output = gr.Image(type="pil", label="Output Image")
generate_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)
# Launch the app
demo.launch()