Spaces:
Runtime error
Runtime error
File size: 2,449 Bytes
ce640b1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
import gradio as gr
# Daftar model dan ControlNet
models = ["Model A", "Model B", "Model C"]
controlnet_types = ["Canny", "Depth", "Normal", "Pose"]
def load_model(selected_model):
# Logika untuk memuat model berdasarkan pilihan
return f"Model {selected_model} telah dimuat."
def generate_image(prompt, model):
# Logika untuk menghasilkan gambar dari teks menggunakan model
return f"Gambar untuk prompt '{prompt}' dengan model '{model}'"
def process_image(image, controlnet_type):
# Logika untuk memproses gambar menggunakan ControlNet
return f"Proses gambar dengan tipe ControlNet '{controlnet_type}'"
with gr.Blocks() as app:
with gr.Tab("Text-to-Image"):
with gr.Row():
model_dropdown = gr.Dropdown(choices=models, label="Pilih Model")
prompt_input = gr.Textbox(label="Prompt")
generate_button = gr.Button("Generate")
output_image = gr.Image(label="Hasil Gambar")
def update_image(prompt, model):
# Update fungsi sesuai kebutuhan
return generate_image(prompt, model)
generate_button.click(fn=update_image, inputs=[prompt_input, model_dropdown], outputs=output_image)
with gr.Tab("Image-to-Image"):
with gr.Row():
image_input = gr.Image(label="Unggah Gambar")
image_output = gr.Image(label="Hasil Gambar")
image_button = gr.Button("Proses Gambar")
def process_image_func(image):
# Update fungsi sesuai kebutuhan
return f"Proses gambar yang diunggah"
image_button.click(fn=process_image_func, inputs=image_input, outputs=image_output)
with gr.Tab("ControlNet"):
with gr.Row():
controlnet_dropdown = gr.Dropdown(choices=controlnet_types, label="Pilih Tipe ControlNet")
controlnet_image_input = gr.Image(label="Unggah Gambar untuk ControlNet")
controlnet_button = gr.Button("Proses dengan ControlNet")
controlnet_output_image = gr.Image(label="Hasil ControlNet")
def controlnet_process_func(image, controlnet_type):
# Update fungsi sesuai kebutuhan
return process_image(image, controlnet_type)
controlnet_button.click(fn=controlnet_process_func, inputs=[controlnet_image_input, controlnet_dropdown], outputs=controlnet_output_image)
# Jalankan antarmuka
app.launch() |