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import gradio as gr
def generateImage(prompt, n_prompt, modelName):
return models[modelName].process(prompt, n_prompt)
def create_demo():
with gr.Blocks() as demo:
with gr.Column():
prompt = gr.Textbox(label='Prompt')
n_prompt = gr.Textbox(
label='Negative Prompt',
value=
'ugly, disfigured, deformed'
)
modelName = gr.Dropdown(choices = list(models.keys()),
label = "Model",
value=list(models.keys())[0])
run_button = gr.Button('Run')
gr.Markdown("### [Stable Diffusion Art](https://stable-diffusion-art.com/) -- tutorials and resources. Read [Model license](https://huggingface.co/spaces/CompVis/stable-diffusion-license).")
result = gr.Gallery(label='Output',
show_label=False,
elem_id='gallery').style(columns=1, rows=1, preview=True)
inputs = [
prompt,
n_prompt,
modelName,
]
prompt.submit(
fn=generateImage,
inputs=inputs,
outputs=result
)
n_prompt.submit(
fn=generateImage,
inputs=inputs,
outputs=result
)
run_button.click(
fn=generateImage,
inputs=inputs,
outputs=result
)
return demo
if __name__ == '__main__':
from model import Model
models = {
"Stable Diffusion v1.5": Model("runwayml/stable-diffusion-v1-5"),
"Realistic Vision v2.0": Model("SG161222/Realistic_Vision_V2.0"),
"Anything v3.0": Model("Linaqruf/anything-v3.0")
}
demo = create_demo()
demo.queue().launch()
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