Spaces:
Running
on
Zero
Running
on
Zero
bring back token
Browse files
app.py
CHANGED
@@ -1,4 +1,3 @@
|
|
1 |
-
import os
|
2 |
import cv2
|
3 |
import random
|
4 |
from typing import Tuple, Optional
|
@@ -19,15 +18,12 @@ creating this amazing model, and a big thanks to [Gothos](https://github.com/Got
|
|
19 |
for taking it to the next level by enabling inpainting with the FLUX.
|
20 |
"""
|
21 |
|
22 |
-
os.environ.pop('HF_TOKEN', None)
|
23 |
-
CLIENT = Client("SkalskiP/florence-sam-masking")
|
24 |
-
|
25 |
MAX_SEED = np.iinfo(np.int32).max
|
26 |
IMAGE_SIZE = 1024
|
27 |
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
|
28 |
PIPE = FluxInpaintPipeline.from_pretrained(
|
29 |
"black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to(DEVICE)
|
30 |
-
|
31 |
|
32 |
|
33 |
# def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
|
|
|
|
|
1 |
import cv2
|
2 |
import random
|
3 |
from typing import Tuple, Optional
|
|
|
18 |
for taking it to the next level by enabling inpainting with the FLUX.
|
19 |
"""
|
20 |
|
|
|
|
|
|
|
21 |
MAX_SEED = np.iinfo(np.int32).max
|
22 |
IMAGE_SIZE = 1024
|
23 |
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
|
24 |
PIPE = FluxInpaintPipeline.from_pretrained(
|
25 |
"black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to(DEVICE)
|
26 |
+
CLIENT = Client("SkalskiP/florence-sam-masking")
|
27 |
|
28 |
|
29 |
# def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
|