Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -2,15 +2,17 @@
|
|
2 |
|
3 |
from __future__ import annotations
|
4 |
|
|
|
5 |
import os
|
6 |
import random
|
7 |
|
8 |
import gradio as gr
|
9 |
import numpy as np
|
10 |
-
import PIL.Image
|
11 |
import spaces
|
12 |
import torch
|
13 |
-
from
|
|
|
|
|
14 |
|
15 |
DESCRIPTION = "# Run any LoRA or SD Model"
|
16 |
if not torch.cuda.is_available():
|
@@ -52,7 +54,6 @@ def generate(
|
|
52 |
vaecall = 'madebyollin/sdxl-vae-fp16-fix',
|
53 |
lora = '',
|
54 |
lora_scale: float = 0.7,
|
55 |
-
) -> PIL.Image.Image:
|
56 |
if torch.cuda.is_available():
|
57 |
|
58 |
if not use_vae:
|
|
|
2 |
|
3 |
from __future__ import annotations
|
4 |
|
5 |
+
import requests
|
6 |
import os
|
7 |
import random
|
8 |
|
9 |
import gradio as gr
|
10 |
import numpy as np
|
|
|
11 |
import spaces
|
12 |
import torch
|
13 |
+
from PIL import Image
|
14 |
+
from io import BytesIO
|
15 |
+
from diffusers import AutoencoderKL, DiffusionPipeline, StableDiffusionImg2ImgPipeline
|
16 |
|
17 |
DESCRIPTION = "# Run any LoRA or SD Model"
|
18 |
if not torch.cuda.is_available():
|
|
|
54 |
vaecall = 'madebyollin/sdxl-vae-fp16-fix',
|
55 |
lora = '',
|
56 |
lora_scale: float = 0.7,
|
|
|
57 |
if torch.cuda.is_available():
|
58 |
|
59 |
if not use_vae:
|