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import gradio as gr
import random
model = gr.load("models/Purz/face-projection")
def generate_image(text):
return model(text)
examples = [
["Humanoid Cat Warrior, Full View"],
["Warhammer Sisterhood"],
["Future Robots war"],
["Fantasy dragon"]
]
css = """
#col-container {
margin: 0 auto;
max-width: 640px;
}
"""
with gr.Blocks(css=css) as interface:
with gr.Column(elem_id="col-container"):
gr.Markdown("# Text-to-Image Gradio Template")
gr.Markdown("Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.")
with gr.Row():
prompt = gr.Textbox(
label="Type here your imagination:",
show_label=False,
max_lines=1,
placeholder="Type or click an example...",
container=False,
)
run_button = gr.Button("Generate Image", scale=0, variant="primary")
result = gr.Image(label="Generated Image", show_label=False)
with gr.Accordion("Advanced Settings", open=False):
negative_prompt = gr.Text(
label="Negative prompt",
max_lines=1,
placeholder="Enter a negative prompt",
visible=False,
)
with gr.Row():
width = gr.Slider(
label="Width",
minimum=256,
maximum=1024,
step=32,
value=1024
)
height = gr.Slider(
label="Height",
minimum=256,
maximum=1024,
step=32,
value=1024
)
with gr.Row():
guidance_scale = gr.Slider(
label="Guidance scale",
minimum=0.0,
maximum=10.0,
step=0.1,
value=0.0
)
num_inference_steps = gr.Slider(
label="Number of inference steps",
minimum=1,
maximum=50,
step=1,
value=2
)
gr.Examples(examples=examples, inputs=[prompt])
gr.on(
triggers=[run_button.click, prompt.submit],
fn=generate_image,
inputs=[prompt],
outputs=[result],
)
if __name__ == "__main__":
interface.launch()
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