Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,15 +6,24 @@ import spaces #[uncomment to use ZeroGPU]
|
|
| 6 |
from diffusers import DiffusionPipeline
|
| 7 |
import torch
|
| 8 |
|
|
|
|
| 9 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
|
|
| 10 |
MODEL_OPTIONS = [
|
| 11 |
("stabilityai/sdxl-turbo", "SDXL Turbo (Быстро)"),
|
| 12 |
("hakurei/waifu-diffusion", "Что-то альтернативное"),
|
| 13 |
]
|
| 14 |
DEFAULT_MODEL_ID = "stabilityai/sdxl-turbo"
|
| 15 |
-
# model_repo_id = "stabilityai/sdxl-turbo" # Replace to the model you would like to use
|
| 16 |
|
| 17 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
def load_pipelines():
|
| 20 |
# SDXL Turbo
|
|
@@ -29,17 +38,8 @@ def load_pipelines():
|
|
| 29 |
pipe = pipe.to(device)
|
| 30 |
PIPELINES[mid] = pipe
|
| 31 |
|
| 32 |
-
|
| 33 |
-
if torch.cuda.is_available():
|
| 34 |
-
torch_dtype = torch.float16
|
| 35 |
-
else:
|
| 36 |
-
torch_dtype = torch.float32
|
| 37 |
-
|
| 38 |
load_pipelines()
|
| 39 |
|
| 40 |
-
MAX_SEED = np.iinfo(np.int32).max
|
| 41 |
-
MAX_IMAGE_SIZE = 1024
|
| 42 |
-
|
| 43 |
|
| 44 |
@spaces.GPU #[uncomment to use ZeroGPU]
|
| 45 |
def infer(
|
|
@@ -90,7 +90,12 @@ css = """
|
|
| 90 |
with gr.Blocks(css=css) as demo:
|
| 91 |
with gr.Column(elem_id="col-container"):
|
| 92 |
gr.Markdown(" # Text-to-Image Gradio Template")
|
| 93 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 94 |
with gr.Row():
|
| 95 |
prompt = gr.Text(
|
| 96 |
label="Prompt",
|
|
@@ -109,7 +114,8 @@ with gr.Blocks(css=css) as demo:
|
|
| 109 |
label="Negative prompt",
|
| 110 |
max_lines=1,
|
| 111 |
placeholder="Enter a negative prompt",
|
| 112 |
-
visible=
|
|
|
|
| 113 |
)
|
| 114 |
|
| 115 |
seed = gr.Slider(
|
|
@@ -161,6 +167,7 @@ with gr.Blocks(css=css) as demo:
|
|
| 161 |
triggers=[run_button.click, prompt.submit],
|
| 162 |
fn=infer,
|
| 163 |
inputs=[
|
|
|
|
| 164 |
prompt,
|
| 165 |
negative_prompt,
|
| 166 |
seed,
|
|
@@ -174,4 +181,4 @@ with gr.Blocks(css=css) as demo:
|
|
| 174 |
)
|
| 175 |
|
| 176 |
if __name__ == "__main__":
|
| 177 |
-
demo.launch()
|
|
|
|
| 6 |
from diffusers import DiffusionPipeline
|
| 7 |
import torch
|
| 8 |
|
| 9 |
+
|
| 10 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
| 11 |
+
|
| 12 |
MODEL_OPTIONS = [
|
| 13 |
("stabilityai/sdxl-turbo", "SDXL Turbo (Быстро)"),
|
| 14 |
("hakurei/waifu-diffusion", "Что-то альтернативное"),
|
| 15 |
]
|
| 16 |
DEFAULT_MODEL_ID = "stabilityai/sdxl-turbo"
|
|
|
|
| 17 |
|
| 18 |
+
if torch.cuda.is_available():
|
| 19 |
+
torch_dtype = torch.float16
|
| 20 |
+
else:
|
| 21 |
+
torch_dtype = torch.float32
|
| 22 |
+
|
| 23 |
+
MAX_SEED = np.iinfo(np.int32).max
|
| 24 |
+
MAX_IMAGE_SIZE = 1024
|
| 25 |
+
|
| 26 |
+
PIPELINES = {}
|
| 27 |
|
| 28 |
def load_pipelines():
|
| 29 |
# SDXL Turbo
|
|
|
|
| 38 |
pipe = pipe.to(device)
|
| 39 |
PIPELINES[mid] = pipe
|
| 40 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 41 |
load_pipelines()
|
| 42 |
|
|
|
|
|
|
|
|
|
|
| 43 |
|
| 44 |
@spaces.GPU #[uncomment to use ZeroGPU]
|
| 45 |
def infer(
|
|
|
|
| 90 |
with gr.Blocks(css=css) as demo:
|
| 91 |
with gr.Column(elem_id="col-container"):
|
| 92 |
gr.Markdown(" # Text-to-Image Gradio Template")
|
| 93 |
+
|
| 94 |
+
model_id = gr.Dropdown(
|
| 95 |
+
choices=[m[0] for m in MODEL_OPTIONS],
|
| 96 |
+
label="Model",
|
| 97 |
+
value=DEFAULT_MODEL_ID,)
|
| 98 |
+
|
| 99 |
with gr.Row():
|
| 100 |
prompt = gr.Text(
|
| 101 |
label="Prompt",
|
|
|
|
| 114 |
label="Negative prompt",
|
| 115 |
max_lines=1,
|
| 116 |
placeholder="Enter a negative prompt",
|
| 117 |
+
visible=True,
|
| 118 |
+
value="dog, cat"
|
| 119 |
)
|
| 120 |
|
| 121 |
seed = gr.Slider(
|
|
|
|
| 167 |
triggers=[run_button.click, prompt.submit],
|
| 168 |
fn=infer,
|
| 169 |
inputs=[
|
| 170 |
+
model_id,
|
| 171 |
prompt,
|
| 172 |
negative_prompt,
|
| 173 |
seed,
|
|
|
|
| 181 |
)
|
| 182 |
|
| 183 |
if __name__ == "__main__":
|
| 184 |
+
demo.launch()
|