Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,4 +1,7 @@
|
|
| 1 |
import torch
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
| 4 |
torch_dtype = torch.float16 if device == "cuda" else None
|
|
@@ -7,7 +10,7 @@ from diffusers import StableDiffusionPipeline
|
|
| 7 |
|
| 8 |
model_id = "CompVis/stable-diffusion-v1-4"
|
| 9 |
pipe = StableDiffusionPipeline.from_pretrained(
|
| 10 |
-
model_id, revision="fp16", torch_dtype=torch_dtype
|
| 11 |
).to(device)
|
| 12 |
|
| 13 |
def predict(prompt):
|
|
|
|
| 1 |
import torch
|
| 2 |
+
import os
|
| 3 |
+
|
| 4 |
+
auth_token = os.getenv("HF_TOKEN")
|
| 5 |
|
| 6 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
| 7 |
torch_dtype = torch.float16 if device == "cuda" else None
|
|
|
|
| 10 |
|
| 11 |
model_id = "CompVis/stable-diffusion-v1-4"
|
| 12 |
pipe = StableDiffusionPipeline.from_pretrained(
|
| 13 |
+
model_id, use_auth_token=auth_token, revision="fp16", torch_dtype=torch_dtype
|
| 14 |
).to(device)
|
| 15 |
|
| 16 |
def predict(prompt):
|