| import torch | |
| from diffusers import ShapEPipeline | |
| from diffusers.utils import export_to_gif | |
| ckpt_id = "openai/shap-e" | |
| pipe = ShapEPipeline.from_pretrained(repo).to("cuda") | |
| guidance_scale = 15.0 | |
| prompt = "a shark" | |
| images = pipe( | |
| prompt, | |
| guidance_scale=guidance_scale, | |
| num_inference_steps=64, | |
| size=256, | |
| ).images | |
| gif_path = export_to_gif(images, "shark_3d.gif") | |
| import streamlit as st | |
| x = st.slider('Select a value') | |
| st.write(x, 'squared is', x * x) |