Update app.py
Browse files
app.py
CHANGED
@@ -1,3 +1,4 @@
|
|
|
|
1 |
import gradio as gr
|
2 |
import numpy as np
|
3 |
import PIL.Image
|
@@ -7,7 +8,7 @@ from diffusers import ControlNetModel, StableDiffusionXLPipeline, AutoencoderKL
|
|
7 |
from diffusers import DDIMScheduler, EulerAncestralDiscreteScheduler
|
8 |
import cv2
|
9 |
import torch
|
10 |
-
|
11 |
|
12 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
13 |
|
@@ -21,7 +22,7 @@ vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype
|
|
21 |
pipe = StableDiffusionXLPipeline.from_pretrained(
|
22 |
"yodayo-ai/clandestine-xl-1.0",
|
23 |
torch_dtype=torch.float16,
|
24 |
-
|
25 |
custom_pipeline="lpw_stable_diffusion_xl",
|
26 |
add_watermarker=False,
|
27 |
variant="fp16"
|
|
|
1 |
+
import spaces
|
2 |
import gradio as gr
|
3 |
import numpy as np
|
4 |
import PIL.Image
|
|
|
8 |
from diffusers import DDIMScheduler, EulerAncestralDiscreteScheduler
|
9 |
import cv2
|
10 |
import torch
|
11 |
+
|
12 |
|
13 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
14 |
|
|
|
22 |
pipe = StableDiffusionXLPipeline.from_pretrained(
|
23 |
"yodayo-ai/clandestine-xl-1.0",
|
24 |
torch_dtype=torch.float16,
|
25 |
+
use_safetensors=True,
|
26 |
custom_pipeline="lpw_stable_diffusion_xl",
|
27 |
add_watermarker=False,
|
28 |
variant="fp16"
|