Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,5 @@
|
|
1 |
import gradio as gr
|
2 |
from PIL import Image
|
3 |
-
from io import BytesIO
|
4 |
import torch
|
5 |
import os
|
6 |
from diffusers import DiffusionPipeline, DDIMScheduler
|
@@ -17,7 +16,7 @@ pipe = DiffusionPipeline.from_pretrained(
|
|
17 |
scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
|
18 |
).to(device)
|
19 |
|
20 |
-
|
21 |
|
22 |
def infer(prompt, init_image):
|
23 |
init_image = Image.open(init_image).convert("RGB")
|
@@ -27,7 +26,8 @@ def infer(prompt, init_image):
|
|
27 |
prompt,
|
28 |
init_image,
|
29 |
guidance_scale=7.5,
|
30 |
-
num_inference_steps=50
|
|
|
31 |
|
32 |
res = pipe(alpha=1)
|
33 |
|
|
|
1 |
import gradio as gr
|
2 |
from PIL import Image
|
|
|
3 |
import torch
|
4 |
import os
|
5 |
from diffusers import DiffusionPipeline, DDIMScheduler
|
|
|
16 |
scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
|
17 |
).to(device)
|
18 |
|
19 |
+
generator = torch.Generator("cuda").manual_seed(0)
|
20 |
|
21 |
def infer(prompt, init_image):
|
22 |
init_image = Image.open(init_image).convert("RGB")
|
|
|
26 |
prompt,
|
27 |
init_image,
|
28 |
guidance_scale=7.5,
|
29 |
+
num_inference_steps=50,
|
30 |
+
generator=generator)
|
31 |
|
32 |
res = pipe(alpha=1)
|
33 |
|