Update app.py
Browse filesAdded SDXL VAE
app.py
CHANGED
@@ -6,11 +6,14 @@ from PIL import Image
|
|
6 |
from diffusers import DiffusionPipeline
|
7 |
from huggingface_hub import login
|
8 |
import os
|
|
|
|
|
|
|
9 |
|
10 |
login(token=os.environ.get('HF_KEY'))
|
11 |
|
12 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
13 |
-
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9", torch_dtype=torch.float16) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9",
|
14 |
pipe = pipe.to(device)
|
15 |
|
16 |
def resize(value,img):
|
|
|
6 |
from diffusers import DiffusionPipeline
|
7 |
from huggingface_hub import login
|
8 |
import os
|
9 |
+
from diffusers import StableDiffusionPipeline
|
10 |
+
|
11 |
+
vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
|
12 |
|
13 |
login(token=os.environ.get('HF_KEY'))
|
14 |
|
15 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
16 |
+
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9", torch_dtype=torch.float16, vae=vae) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9", vae=vae)
|
17 |
pipe = pipe.to(device)
|
18 |
|
19 |
def resize(value,img):
|