import gradio as gr from diffusers import DiffusionPipeline import random ######################### #Alternativ erzeugen #gr.Interface.load("models/stabilityai/stable-diffusion-2").launch() pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2") def erzeuge(): pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2") images = [ (random.choice( [ "https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80", "https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80", "https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80", "https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80", "https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80", ] ), f"label {i}" if i != 0 else "label" * 50) for i in range(3) ] return images with gr.Blocks() as demo: with gr.Column(variant="panel"): with gr.Row(variant="compact"): text = gr.Textbox( label="Deine Beschreibung:", show_label=False, max_lines=1, placeholder="Bildbeschreibung", ).style( container=False, ) btn = gr.Button("Bild Erzeugung:").style(full_width=False) gallery = gr.Gallery( label="Erzeugte Bilder", show_label=False, elem_id="gallery" ).style(columns=[2], rows=[2], object_fit="contain", height="auto") btn.click(erzeuge, None, gallery) if __name__ == "__main__": demo.launch()