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Running
on
Zero
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Update app.py
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app.py
CHANGED
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import
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import torch
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from huggingface_hub import snapshot_download
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from txt2panoimg import Text2360PanoramaImagePipeline
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from img2panoimg import Image2360PanoramaImagePipeline
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from PIL import Image
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from streamlit_pannellum import streamlit_pannellum
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# Custom CSS to make the UI more attractive
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st.markdown("""
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<style>
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.stApp {
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max-width: 1200px;
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margin: 0 auto;
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}
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.main {
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background-color: #f0f2f6;
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}
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h1 {
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color: #1E3A8A;
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text-align: center;
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padding: 20px 0;
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font-size: 2.5rem;
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}
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.stTabs {
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background-color: white;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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}
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.stButton>button {
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background-color: #1E3A8A;
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color: white;
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font-weight: bold;
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}
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.viewer-column {
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background-color: white;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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}
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</style>
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""", unsafe_allow_html=True)
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# Download the model
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model_path = snapshot_download("archerfmy0831/sd-t2i-360panoimage")
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# Load the default mask image
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default_mask = Image.open("i2p-mask.jpg").convert("RGB")
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@spaces.GPU(duration=200)
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def text_to_pano(prompt, upscale):
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input_data = {'prompt': prompt, 'upscale': upscale}
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output = txt2panoimg(input_data)
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return output
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@spaces.GPU(duration=200)
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def image_to_pano(image, mask, prompt, upscale):
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image = image.resize((512, 512))
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if mask is None:
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output = img2panoimg(input_data)
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return output
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# Function to display the panorama viewer
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def display_panorama(image):
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streamlit_pannellum(
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config={
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"default": {
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"firstScene": "generated",
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},
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"scenes": {
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"generated": {
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"title": "Generated Panorama",
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"type": "equirectangular",
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"panorama": image,
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"autoLoad": True,
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}
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}
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}
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)
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with tab1:
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col1, col2 = st.columns([1, 1])
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with col1:
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st.subheader("Input")
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t2p_input = st.text_area("Enter your prompt", height=100)
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t2p_upscale = st.checkbox("Upscale (requires >16GB GPU)")
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generate_button = st.button("Generate Panorama")
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viewer_placeholder = st.empty()
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output = text_to_pano(t2p_input, t2p_upscale)
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output_placeholder.image(output, caption="Generated 360° Panorama", use_column_width=True)
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with viewer_placeholder.container():
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display_panorama(output)
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with
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with
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with st.spinner("Generating your 360° panorama..."):
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image = Image.open(i2p_image)
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mask = Image.open(i2p_mask) if i2p_mask is not None else None
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output = image_to_pano(image, mask, i2p_prompt, i2p_upscale)
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output_placeholder.image(output, caption="Generated 360° Panorama", use_column_width=True)
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with viewer_placeholder.container():
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display_panorama(output)
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elif generate_button and i2p_image is None:
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st.error("Please upload an input image.")
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import gradio as gr
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from gradio_pannellum import Pannellum
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import torch
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from huggingface_hub import snapshot_download
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from txt2panoimg import Text2360PanoramaImagePipeline
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from img2panoimg import Image2360PanoramaImagePipeline
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from PIL import Image
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# Download the model
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model_path = snapshot_download("archerfmy0831/sd-t2i-360panoimage")
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# Load the default mask image
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default_mask = Image.open("i2p-mask.jpg").convert("RGB")
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def text_to_pano(prompt, upscale):
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input_data = {'prompt': prompt, 'upscale': upscale}
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output = txt2panoimg(input_data)
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return output
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def image_to_pano(image, mask, prompt, upscale):
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image = image.resize((512, 512))
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if mask is None:
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output = img2panoimg(input_data)
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return output
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def text_to_pano_interface(prompt, upscale):
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output = text_to_pano(prompt, upscale)
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return Pannellum().update(panorama=output)
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def image_to_pano_interface(image, mask, prompt, upscale):
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output = image_to_pano(image, mask, prompt, upscale)
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return Pannellum().update(panorama=output)
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with gr.Blocks() as demo:
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gr.Markdown("# 360° Panorama Image Generation")
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with gr.Tab("Text to 360° Panorama"):
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with gr.Row():
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with gr.Column():
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t2p_input = gr.Textbox(label="Enter your prompt", lines=3)
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t2p_upscale = gr.Checkbox(label="Upscale (requires >16GB GPU)")
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t2p_generate = gr.Button("Generate Panorama")
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with gr.Column():
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t2p_output = Pannellum(label="Generated 360° Panorama")
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t2p_generate.click(
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text_to_pano_interface,
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inputs=[t2p_input, t2p_upscale],
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outputs=t2p_output
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)
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with gr.Tab("Image to 360° Panorama"):
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with gr.Row():
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with gr.Column():
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i2p_image = gr.Image(label="Upload Input Image", type="pil")
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i2p_mask = gr.Image(label="Upload Mask Image (Optional)", type="pil")
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i2p_prompt = gr.Textbox(label="Enter your prompt", lines=3)
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i2p_upscale = gr.Checkbox(label="Upscale (requires >16GB GPU)")
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i2p_generate = gr.Button("Generate Panorama")
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with gr.Column():
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i2p_output = Pannellum(label="Generated 360° Panorama")
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i2p_generate.click(
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image_to_pano_interface,
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inputs=[i2p_image, i2p_mask, i2p_prompt, i2p_upscale],
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outputs=i2p_output
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)
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demo.launch()
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