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import gradio as gr
import torch
from diffusers import NewbiePipeline
import numpy as np
from PIL import Image
import io
def generate_image(prompt, steps=28, height=1024, width=1024):
"""Generate an image using the NewBie model"""
try:
# Load pipeline if not already loaded
if not hasattr(generate_image, 'pipe'):
model_id = "NewBie-AI/NewBie-image-Exp0.1"
# Load pipeline
generate_image.pipe = NewbiePipeline.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
).to("cuda")
# Generate image
image = generate_image.pipe(
prompt,
height=height,
width=width,
num_inference_steps=steps,
).images[0]
return image
except Exception as e:
error_msg = f"Error generating image: {str(e)}"
raise gr.Error(error_msg)
# Create a modern Gradio 6 application
with gr.Blocks() as demo:
gr.Markdown(
"""
# 🎨 NewBie Image Generator
**Built with [anycoder](https://huggingface.co/spaces/akhaliq/anycoder)**
Generate beautiful anime-style images using the NewBie AI model. Simply enter your prompt and click generate!
"""
)
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### Configuration")
prompt_input = gr.Textbox(
label="Prompt",
placeholder="Describe the image you want to generate...",
lines=2,
max_lines=5,
value="1girl, beautiful anime style, masterpiece"
)
steps_slider = gr.Slider(
minimum=1,
maximum=50,
value=28,
step=1,
label="Inference Steps"
)
with gr.Row():
height_input = gr.Number(
label="Height",
value=1024,
)
width_input = gr.Number(
label="Width",
value=1024,
)
with gr.Column(scale=2):
gr.Markdown("### Generated Image")
output_image = gr.Image(
label="Generated Image",
height=400,
width=400
)
generate_btn = gr.Button(
"✨ Generate Image",
variant="primary",
size="lg"
)
# Example prompts for users
examples = gr.Examples(
examples=[
["1girl, beautiful anime style, masterpiece, detailed face"],
["cute cat wearing a hat, cartoon style, vibrant colors"],
["fantasy landscape with mountains and rivers, epic scale"],
["portrait of a warrior with armor, dynamic lighting"],
["sci-fi cityscape at night, neon lights, futuristic"],
],
inputs=[prompt_input],
)
# Status message
status_text = gr.Textbox(
label="Status",
interactive=False,
value="Ready to generate! Enter a prompt and click the button."
]
# Event handling with Gradio 6 syntax
generate_btn.click(
fn=generate_image,
inputs=[prompt_input, steps_slider, height_input, width_input],
outputs=[output_image],
api_visibility="public"
)
# Add some additional functionality
with gr.Accordion("Advanced Settings", open=False):
guidance_scale_info = gr.Markdown(
"Model: NewBie-AI/NewBie-image-Exp0.1\nInference Steps: 28\nResolution: 1024x1024"
)
# Info section
gr.Markdown(
"""
---
**Tips for better results:**
- Be descriptive and specific in your prompts
- Include style keywords (anime, realistic, cartoon, etc.)")
)
# Footer with additional info
gr.Markdown(
"""
<div style='text-align: center; margin-top: 20px; color: #666;'>
This application uses the NewBie diffusion model to generate high-quality images from text descriptions.
</div>
"""
)
# Launch the application with modern Gradio 6 theme
demo.launch(
theme=gr.themes.Soft(
primary_hue="indigo",
secondary_hue="slate",
font=gr.themes.GoogleFont("Inter"),
text_size="md",
spacing_size="md",
radius_size="md"
).set(
button_primary_background_fill="*primary_600",
button_primary_background_fill_hover="*primary_700",
block_title_text_weight="600",
),
footer_links=[
{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder",
{"label": "NewBie Model", "url": "https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1"
]
) |