Spaces:
Runtime error
Runtime error
File size: 2,875 Bytes
e7e6b8b 5a1997f 34c4118 fb22a86 34c4118 e7e6b8b fb22a86 e7e6b8b |
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 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
import gradio as gr
class CodeformerUpscalerGenerator:
def generate_image(
self,
image_path: str,
background_enhance: bool,
face_upsample: bool,
upscale: int,
codeformer_fidelity: int,
):
from codeformer.app import inference_app
pipe = inference_app(
image=image_path,
background_enhance=background_enhance,
face_upsample=face_upsample,
upscale=upscale,
codeformer_fidelity=codeformer_fidelity,
)
return [pipe]
def app():
with gr.Blocks():
with gr.Row():
with gr.Column():
codeformer_upscale_image_file = gr.Image(
type="filepath", label="Image"
).style(height=260)
with gr.Row():
with gr.Column():
codeformer_face_upsample = gr.Checkbox(
label="Face Upsample",
value=True,
)
codeformer_upscale = gr.Slider(
label="Upscale",
minimum=1,
maximum=4,
step=1,
value=2,
)
with gr.Row():
with gr.Column():
codeformer_background_enhance = gr.Checkbox(
label="Background Enhance",
value=True,
)
codeformer_upscale_fidelity = gr.Slider(
label="Codeformer Fidelity",
minimum=0.1,
maximum=1.0,
step=0.1,
value=0.5,
)
codeformer_upscale_predict_button = gr.Button(
value="Generator"
)
with gr.Column():
output_image = gr.Gallery(
label="Generated images",
show_label=False,
elem_id="gallery",
).style(grid=(1, 2))
codeformer_upscale_predict_button.click(
fn=CodeformerUpscalerGenerator().generate_image,
inputs=[
codeformer_upscale_image_file,
codeformer_background_enhance,
codeformer_face_upsample,
codeformer_upscale,
codeformer_upscale_fidelity,
],
outputs=[output_image],
)
|