Spaces:
Running
on
A10G
Running
on
A10G
from sys import maxsize | |
from huggingface_hub import hf_hub_download | |
import torch | |
import os | |
import gradio as gr | |
from audioldm2 import text_to_audio, build_model | |
from share_btn import community_icon_html, loading_icon_html, share_js | |
os.environ["TOKENIZERS_PARALLELISM"] = "true" | |
# default_checkpoint="audioldm2-full" | |
default_checkpoint="audioldm_48k" | |
audioldm = None | |
current_model_name = None | |
def text2audio( | |
text, | |
duration, | |
guidance_scale, | |
random_seed, | |
n_candidates, | |
model_name=default_checkpoint, | |
): | |
global audioldm, current_model_name | |
torch.set_float32_matmul_precision("high") | |
if audioldm is None or model_name != current_model_name: | |
audioldm = build_model(model_name=model_name) | |
current_model_name = model_name | |
# audioldm = torch.compile(audioldm) | |
# print(text, length, guidance_scale) | |
if("48k" in model_name): | |
latent_t_per_second=12.8 | |
sample_rate=48000 | |
else: | |
latent_t_per_second=25.6 | |
sample_rate=16000 | |
waveform = text_to_audio( | |
latent_diffusion=audioldm, | |
text=text, | |
seed=random_seed, | |
duration=duration, | |
guidance_scale=guidance_scale, | |
n_candidate_gen_per_text=int(n_candidates), | |
latent_t_per_second=latent_t_per_second, | |
) # [bs, 1, samples] | |
waveform = [ | |
gr.make_waveform((sample_rate, wave[0]), bg_image="bg.png") for wave in waveform | |
] | |
# waveform = [(16000, np.random.randn(16000)), (16000, np.random.randn(16000))] | |
if len(waveform) == 1: | |
waveform = waveform[0] | |
return waveform | |
text2audio("Birds singing sweetly in a blooming garden.", 10, 3.5, 45, 3, default_checkpoint) | |
css = """ | |
a { | |
color: inherit; | |
text-decoration: underline; | |
} | |
.gradio-container { | |
font-family: 'IBM Plex Sans', sans-serif; | |
} | |
.gr-button { | |
color: white; | |
border-color: #000000; | |
background: #000000; | |
} | |
input[type='range'] { | |
accent-color: #000000; | |
} | |
.dark input[type='range'] { | |
accent-color: #dfdfdf; | |
} | |
.container { | |
max-width: 730px; | |
margin: auto; | |
padding-top: 1.5rem; | |
} | |
#gallery { | |
min-height: 22rem; | |
margin-bottom: 15px; | |
margin-left: auto; | |
margin-right: auto; | |
border-bottom-right-radius: .5rem !important; | |
border-bottom-left-radius: .5rem !important; | |
} | |
#gallery>div>.h-full { | |
min-height: 20rem; | |
} | |
.details:hover { | |
text-decoration: underline; | |
} | |
.gr-button { | |
white-space: nowrap; | |
} | |
.gr-button:focus { | |
border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
outline: none; | |
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
--tw-border-opacity: 1; | |
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
--tw-ring-opacity: .5; | |
} | |
#advanced-btn { | |
font-size: .7rem !important; | |
line-height: 19px; | |
margin-top: 12px; | |
margin-bottom: 12px; | |
padding: 2px 8px; | |
border-radius: 14px !important; | |
} | |
#advanced-options { | |
margin-bottom: 20px; | |
} | |
.footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer>p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer>p { | |
background: #0b0f19; | |
} | |
.acknowledgments h4{ | |
margin: 1.25em 0 .25em 0; | |
font-weight: bold; | |
font-size: 115%; | |
} | |
#container-advanced-btns{ | |
display: flex; | |
flex-wrap: wrap; | |
justify-content: space-between; | |
align-items: center; | |
} | |
.animate-spin { | |
animation: spin 1s linear infinite; | |
} | |
@keyframes spin { | |
from { | |
transform: rotate(0deg); | |
} | |
to { | |
transform: rotate(360deg); | |
} | |
} | |
#share-btn-container { | |
display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; | |
margin-top: 10px; | |
margin-left: auto; | |
} | |
#share-btn { | |
all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0; | |
} | |
#share-btn * { | |
all: unset; | |
} | |
#share-btn-container div:nth-child(-n+2){ | |
width: auto !important; | |
min-height: 0px !important; | |
} | |
#share-btn-container .wrap { | |
display: none !important; | |
} | |
.gr-form{ | |
flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; | |
} | |
#prompt-container{ | |
gap: 0; | |
} | |
#generated_id{ | |
min-height: 700px | |
} | |
#setting_id{ | |
margin-bottom: 12px; | |
text-align: center; | |
font-weight: 900; | |
} | |
""" | |
iface = gr.Blocks(css=css) | |
with iface: | |
gr.HTML( | |
""" | |
<div style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
" | |
> | |
<h1 style="font-weight: 900; margin-bottom: 7px; line-height: normal;"> | |
48kHz AudioLDM: Generating High-Fidelity Audio and Music with Text | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%"> | |
<a href="https://arxiv.org/abs/2308.05734">[Paper]</a> <a href="https://audioldm.github.io/audioldm2">[Project page]</a> <a href="https://discord.com/invite/b64SEmdf">[Join Discord]</a> | |
</p> | |
</div> | |
""" | |
) | |
gr.HTML( | |
""" | |
<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. | |
<br/> | |
<a href="https://huggingface.co/spaces/haoheliu/AudioLDM_48K_Text-to-HiFiAudio_Generation?duplicate=true"> | |
<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> | |
<p/> | |
""" | |
) | |
with gr.Group(): | |
with gr.Box(): | |
############# Input | |
textbox = gr.Textbox( | |
value="A forest of wind chimes singing a soothing melody in the breeze.", | |
max_lines=1, | |
label="Input your text here. If the output is not good enough, switching to a different seed will help.", | |
elem_id="prompt-in", | |
) | |
with gr.Accordion("Click to modify detailed configurations", open=False): | |
seed = gr.Number( | |
value=45, | |
label="Change this value (any integer number) will lead to a different generation result.", | |
) | |
duration = gr.Slider( | |
5, 15, value=10, step=2.5, label="Duration (seconds)" | |
) | |
guidance_scale = gr.Slider( | |
0, | |
6, | |
value=3.5, | |
step=0.5, | |
label="Guidance scale (Large => better quality and relavancy to text; Small => better diversity)", | |
) | |
n_candidates = gr.Slider( | |
1, | |
3, | |
value=1, | |
step=1, | |
label="Automatic quality control. This number control the number of candidates (e.g., generate three audios and choose the best to show you). A Larger value usually lead to better quality with heavier computation", | |
) | |
model_name = gr.Dropdown( | |
["audioldm_48k", "audioldm_crossattn_flant5", "audioldm2-full"], value="audioldm_48k", | |
) | |
############# Output | |
# outputs=gr.Audio(label="Output", type="numpy") | |
outputs = gr.Video(label="Output", elem_id="output-video") | |
# with gr.Group(elem_id="container-advanced-btns"): | |
# # advanced_button = gr.Button("Advanced options", elem_id="advanced-btn") | |
# with gr.Group(elem_id="share-btn-container"): | |
# community_icon = gr.HTML(community_icon_html, visible=False) | |
# loading_icon = gr.HTML(loading_icon_html, visible=False) | |
# share_button = gr.Button("Share to community", elem_id="share-btn", visible=False) | |
# outputs=[gr.Audio(label="Output", type="numpy"), gr.Audio(label="Output", type="numpy")] | |
btn = gr.Button("Submit").style(full_width=True) | |
with gr.Group(elem_id="share-btn-container", visible=False): | |
community_icon = gr.HTML(community_icon_html) | |
loading_icon = gr.HTML(loading_icon_html) | |
share_button = gr.Button("Share to community", elem_id="share-btn") | |
# btn.click(text2audio, inputs=[ | |
# textbox, duration, guidance_scale, seed, n_candidates, model_name], outputs=[outputs]) | |
btn.click( | |
text2audio, | |
inputs=[textbox, duration, guidance_scale, seed, n_candidates], | |
outputs=[outputs], | |
api_name="text2audio", | |
) | |
share_button.click(None, [], [], _js=share_js) | |
gr.HTML( | |
""" | |
<div class="footer" style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
<p>Follow the latest update of AudioLDM 2 on our<a href="https://github.com/haoheliu/AudioLDM2" style="text-decoration: underline;" target="_blank"> Github repo</a> | |
</p> | |
<br> | |
<p>Model by <a href="https://twitter.com/LiuHaohe" style="text-decoration: underline;" target="_blank">Haohe Liu</a></p> | |
<br> | |
</div> | |
""" | |
) | |
gr.Examples( | |
[ | |
[ | |
"Birds singing sweetly in a blooming garden.", | |
10, | |
3.5, | |
45, | |
3, | |
default_checkpoint, | |
], | |
[ | |
"A modern synthesizer creating futuristic soundscapes.", | |
10, | |
3.5, | |
45, | |
3, | |
default_checkpoint, | |
], | |
[ | |
"The vibrant beat of Brazilian samba drums.", | |
10, | |
3.5, | |
45, | |
3, | |
default_checkpoint, | |
], | |
], | |
fn=text2audio, | |
inputs=[textbox, duration, guidance_scale, seed, n_candidates, model_name], | |
# inputs=[textbox, guidance_scale, seed, n_candidates], | |
outputs=[outputs], | |
cache_examples=True, | |
) | |
gr.HTML( | |
""" | |
<div class="acknowledgements"> | |
<p>Essential Tricks for Enhancing the Quality of Your Generated Audio</p> | |
<p>1. Try to use more adjectives to describe your sound. For example: "A man is speaking clearly and slowly in a large room" is better than "A man is speaking". This can make sure AudioLDM 2 understands what you want.</p> | |
<p>2. Try to use different random seeds, which can affect the generation quality significantly sometimes.</p> | |
<p>3. It's better to use general terms like 'man' or 'woman' instead of specific names for individuals or abstract objects that humans may not be familiar with, such as 'mummy'.</p> | |
</div> | |
""" | |
) | |
with gr.Accordion("Additional information", open=False): | |
gr.HTML( | |
""" | |
<div class="acknowledgments"> | |
<p> We build the model with data from <a href="http://research.google.com/audioset/">AudioSet</a>, <a href="https://freesound.org/">Freesound</a> and <a href="https://sound-effects.bbcrewind.co.uk/">BBC Sound Effect library</a>. We share this demo based on the <a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/375954/Research.pdf">UK copyright exception</a> of data for academic research. </p> | |
</div> | |
""" | |
) | |
# <p>This demo is strictly for research demo purpose only. For commercial use please <a href="haoheliu@gmail.com">contact us</a>.</p> | |
iface.queue(max_size=20) | |
iface.launch(debug=True) | |
# iface.launch(debug=True, share=True) | |