novitalabs/litelama
Python
Captured source
source ↗published Sep 25, 2023seen 5dcaptured 8hhttp 200method plain
novitalabs/litelama
Description: lightweight LAMA inference wrapper
Language: Python
Stars: 27
Forks: 3
Open issues: 0
Created: 2023-09-25T08:30:03Z
Pushed: 2023-09-28T04:02:49Z
Default branch: main
Fork: no
Archived: no
README:
Lite Lama - A lightweight LAMA inference wrapper
from litelama import LiteLama
import requests
from PIL import Image
from io import BytesIO
def download_image(url):
response = requests.get(url)
return Image.open(BytesIO(response.content)).convert("RGB")
img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
lama = LiteLama()
lama.to("cuda:0")
init_image = download_image(img_url).resize((512, 512))
mask_image = download_image(mask_url).resize((512, 512))
lama.predict(init_image, mask_image).save("result.png")