Spaces:
Runtime error
Runtime error
root
commited on
Commit
•
88a21ad
1
Parent(s):
d11efa5
fix device for zero gpu
Browse files
app.py
CHANGED
@@ -7,8 +7,6 @@ music_gen_model = MusicgenForConditionalGeneration.from_pretrained("facebook/mus
|
|
7 |
sampling_rate = music_gen_model.config.audio_encoder.sampling_rate
|
8 |
|
9 |
|
10 |
-
device = "cuda" if torch.cuda.is_available() else "cpu"
|
11 |
-
music_gen_model.to(device)
|
12 |
|
13 |
from transformers import AutoProcessor
|
14 |
processor = AutoProcessor.from_pretrained("facebook/musicgen-small")
|
@@ -17,31 +15,42 @@ from diffusers import DiffusionPipeline
|
|
17 |
|
18 |
sd_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
|
19 |
# sd_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
|
20 |
-
sd_pipe.to(device)
|
21 |
|
22 |
|
23 |
@spaces.GPU
|
24 |
def generate_music(desc):
|
|
|
|
|
|
|
25 |
inputs = processor(text=[desc], padding=True, return_tensors="pt")
|
26 |
audio_values = music_gen_model.generate(**inputs.to(device), do_sample=True, guidance_scale=3, max_new_tokens=256)
|
27 |
return sampling_rate, audio_values[0][0].cpu().numpy()
|
28 |
|
29 |
@spaces.GPU
|
30 |
def generate_pic(desc):
|
|
|
|
|
31 |
return sd_pipe(prompt=desc).images[0]
|
32 |
|
|
|
|
|
|
|
|
|
|
|
33 |
with gr.Blocks() as app:
|
34 |
with gr.Row():
|
35 |
music_desc = gr.TextArea(label="Music Description")
|
36 |
music_pic = gr.Image(label="Music Image(StableDiffusion)")
|
37 |
music_player = gr.Audio(label="Play My Tune")
|
38 |
|
39 |
-
device_name = gr.Text(label='device name',
|
40 |
gen_pic_btn = gr.Button("Gen Picture")
|
41 |
gen_music_btn = gr.Button("Get Some Tune!!")
|
|
|
42 |
|
43 |
gen_pic_btn.click(fn=generate_pic, inputs=[music_desc], outputs=[music_pic])
|
44 |
gen_music_btn.click(fn=generate_music, inputs=[music_desc], outputs=[music_player])
|
|
|
45 |
|
46 |
if __name__ == '__main__':
|
47 |
app.launch()
|
|
|
7 |
sampling_rate = music_gen_model.config.audio_encoder.sampling_rate
|
8 |
|
9 |
|
|
|
|
|
10 |
|
11 |
from transformers import AutoProcessor
|
12 |
processor = AutoProcessor.from_pretrained("facebook/musicgen-small")
|
|
|
15 |
|
16 |
sd_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
|
17 |
# sd_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
|
|
|
18 |
|
19 |
|
20 |
@spaces.GPU
|
21 |
def generate_music(desc):
|
22 |
+
device = "cuda" if torch.cuda.is_available() else "cpu"
|
23 |
+
music_gen_model.to(device)
|
24 |
+
|
25 |
inputs = processor(text=[desc], padding=True, return_tensors="pt")
|
26 |
audio_values = music_gen_model.generate(**inputs.to(device), do_sample=True, guidance_scale=3, max_new_tokens=256)
|
27 |
return sampling_rate, audio_values[0][0].cpu().numpy()
|
28 |
|
29 |
@spaces.GPU
|
30 |
def generate_pic(desc):
|
31 |
+
device = "cuda" if torch.cuda.is_available() else "cpu"
|
32 |
+
sd_pipe.to(device)
|
33 |
return sd_pipe(prompt=desc).images[0]
|
34 |
|
35 |
+
@spaces.GPU
|
36 |
+
def test_gpu():
|
37 |
+
device = "cuda" if torch.cuda.is_available() else "cpu"
|
38 |
+
return device
|
39 |
+
|
40 |
with gr.Blocks() as app:
|
41 |
with gr.Row():
|
42 |
music_desc = gr.TextArea(label="Music Description")
|
43 |
music_pic = gr.Image(label="Music Image(StableDiffusion)")
|
44 |
music_player = gr.Audio(label="Play My Tune")
|
45 |
|
46 |
+
device_name = gr.Text(label='device name', interactive=False)
|
47 |
gen_pic_btn = gr.Button("Gen Picture")
|
48 |
gen_music_btn = gr.Button("Get Some Tune!!")
|
49 |
+
has_gpu_btn = gr.Button("test gpu")
|
50 |
|
51 |
gen_pic_btn.click(fn=generate_pic, inputs=[music_desc], outputs=[music_pic])
|
52 |
gen_music_btn.click(fn=generate_music, inputs=[music_desc], outputs=[music_player])
|
53 |
+
has_gpu_btn.click(fn=test_gpu, outputs=[device_name])
|
54 |
|
55 |
if __name__ == '__main__':
|
56 |
app.launch()
|