Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -11,7 +11,7 @@ import gradio as gr
|
|
| 11 |
from PIL import Image
|
| 12 |
from datasets import load_dataset
|
| 13 |
from datasets import DownloadMode, VerificationMode
|
| 14 |
-
from diffusers import
|
| 15 |
|
| 16 |
from pingpong import PingPong
|
| 17 |
from pingpong.pingpong import PPManager
|
|
@@ -122,15 +122,13 @@ class GradioLLaMA2ChatPPManager(LLaMA2ChatPPManager):
|
|
| 122 |
TOKEN = os.getenv('HF_TOKEN')
|
| 123 |
MODEL_ID = 'meta-llama/Llama-2-70b-chat-hf'
|
| 124 |
|
| 125 |
-
pipe =
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
|
|
|
|
| 129 |
)
|
| 130 |
-
pipe.
|
| 131 |
-
pipe.scheduler.config
|
| 132 |
-
)
|
| 133 |
-
pipe = pipe.to("cuda")
|
| 134 |
|
| 135 |
STYLES = """
|
| 136 |
.margin-auto {
|
|
@@ -301,7 +299,7 @@ def gen_art(editor, cover_art_image, gen_cover_art_prompt):
|
|
| 301 |
pipe = pipe.to("cuda")
|
| 302 |
|
| 303 |
return [
|
| 304 |
-
pipe(gen_cover_art_prompt).images[0],
|
| 305 |
gen_cover_art_prompt
|
| 306 |
]
|
| 307 |
|
|
|
|
| 11 |
from PIL import Image
|
| 12 |
from datasets import load_dataset
|
| 13 |
from datasets import DownloadMode, VerificationMode
|
| 14 |
+
from diffusers import StableDiffusionXLPipeline
|
| 15 |
|
| 16 |
from pingpong import PingPong
|
| 17 |
from pingpong.pingpong import PPManager
|
|
|
|
| 122 |
TOKEN = os.getenv('HF_TOKEN')
|
| 123 |
MODEL_ID = 'meta-llama/Llama-2-70b-chat-hf'
|
| 124 |
|
| 125 |
+
pipe = StableDiffusionXLPipeline.from_pretrained(
|
| 126 |
+
"stabilityai/stable-diffusion-xl-base-1.0",
|
| 127 |
+
torch_dtype=torch.float16,
|
| 128 |
+
variant="fp16",
|
| 129 |
+
use_safetensors=True
|
| 130 |
)
|
| 131 |
+
pipe.to("cuda")
|
|
|
|
|
|
|
|
|
|
| 132 |
|
| 133 |
STYLES = """
|
| 134 |
.margin-auto {
|
|
|
|
| 299 |
pipe = pipe.to("cuda")
|
| 300 |
|
| 301 |
return [
|
| 302 |
+
pipe(gen_cover_art_prompt, num_inference_steps=25).images[0].resize((512, 512)),
|
| 303 |
gen_cover_art_prompt
|
| 304 |
]
|
| 305 |
|