Spaces:
Runtime error
Runtime error
File size: 777 Bytes
17fc570 3558088 4e343fc 17fc570 3558088 4e343fc 3558088 d253a79 3558088 d253a79 3558088 d253a79 4e343fc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
import streamlit as st
from PIL import Image
from transformers import BlipProcessor, BlipForConditionalGeneration
from diffusers import StableDiffusionPipeline
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
file_name = st.file_uploader("Upload image 1")
if file_name is not None:
image = Image.open(file_name)
inputs = processor(image, return_tensors="pt")
out = model.generate(**inputs)
description = processor.decode(out[0], skip_special_tokens=True)
st.write(description)
image = pipe(description).images[0]
st.image(image)
|