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from sys import maxsize |
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from huggingface_hub import hf_hub_download |
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import torch |
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import os |
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import gradio as gr |
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from audioldm2 import text_to_audio, build_model |
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from share_btn import community_icon_html, loading_icon_html, share_js |
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os.environ["TOKENIZERS_PARALLELISM"] = "true" |
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default_checkpoint="audioldm_48k" |
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audioldm = None |
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current_model_name = None |
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def text2audio( |
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text, |
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duration, |
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guidance_scale, |
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random_seed, |
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n_candidates, |
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model_name=default_checkpoint, |
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): |
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global audioldm, current_model_name |
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torch.set_float32_matmul_precision("high") |
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if audioldm is None or model_name != current_model_name: |
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audioldm = build_model(model_name=model_name) |
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current_model_name = model_name |
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if("48k" in model_name): |
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latent_t_per_second=12.8 |
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sample_rate=48000 |
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else: |
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latent_t_per_second=25.6 |
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sample_rate=16000 |
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waveform = text_to_audio( |
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latent_diffusion=audioldm, |
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text=text, |
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seed=random_seed, |
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duration=duration, |
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guidance_scale=guidance_scale, |
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n_candidate_gen_per_text=int(n_candidates), |
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latent_t_per_second=latent_t_per_second, |
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) |
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waveform = [ |
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gr.make_waveform((sample_rate, wave[0]), bg_image="bg.png") for wave in waveform |
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] |
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if len(waveform) == 1: |
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waveform = waveform[0] |
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return waveform |
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text2audio("Birds singing sweetly in a blooming garden.", 10, 3.5, 45, 3, default_checkpoint) |
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css = """ |
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a { |
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color: inherit; |
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text-decoration: underline; |
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} |
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.gradio-container { |
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font-family: 'IBM Plex Sans', sans-serif; |
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} |
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.gr-button { |
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color: white; |
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border-color: #000000; |
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background: #000000; |
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} |
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input[type='range'] { |
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accent-color: #000000; |
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} |
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.dark input[type='range'] { |
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accent-color: #dfdfdf; |
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} |
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.container { |
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max-width: 730px; |
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margin: auto; |
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padding-top: 1.5rem; |
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} |
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#gallery { |
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min-height: 22rem; |
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margin-bottom: 15px; |
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margin-left: auto; |
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margin-right: auto; |
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border-bottom-right-radius: .5rem !important; |
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border-bottom-left-radius: .5rem !important; |
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} |
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#gallery>div>.h-full { |
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min-height: 20rem; |
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} |
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.details:hover { |
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text-decoration: underline; |
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} |
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.gr-button { |
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white-space: nowrap; |
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} |
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.gr-button:focus { |
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border-color: rgb(147 197 253 / var(--tw-border-opacity)); |
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outline: none; |
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); |
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--tw-border-opacity: 1; |
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); |
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--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); |
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--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); |
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--tw-ring-opacity: .5; |
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} |
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#advanced-btn { |
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font-size: .7rem !important; |
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line-height: 19px; |
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margin-top: 12px; |
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margin-bottom: 12px; |
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padding: 2px 8px; |
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border-radius: 14px !important; |
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} |
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#advanced-options { |
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margin-bottom: 20px; |
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} |
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.footer { |
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margin-bottom: 45px; |
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margin-top: 35px; |
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text-align: center; |
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border-bottom: 1px solid #e5e5e5; |
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} |
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.footer>p { |
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font-size: .8rem; |
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display: inline-block; |
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padding: 0 10px; |
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transform: translateY(10px); |
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background: white; |
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} |
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.dark .footer { |
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border-color: #303030; |
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} |
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.dark .footer>p { |
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background: #0b0f19; |
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} |
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.acknowledgments h4{ |
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margin: 1.25em 0 .25em 0; |
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font-weight: bold; |
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font-size: 115%; |
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} |
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#container-advanced-btns{ |
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display: flex; |
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flex-wrap: wrap; |
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justify-content: space-between; |
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align-items: center; |
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} |
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.animate-spin { |
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animation: spin 1s linear infinite; |
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} |
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@keyframes spin { |
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from { |
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transform: rotate(0deg); |
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} |
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to { |
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transform: rotate(360deg); |
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} |
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} |
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#share-btn-container { |
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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; |
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margin-top: 10px; |
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margin-left: auto; |
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} |
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#share-btn { |
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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; |
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} |
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#share-btn * { |
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all: unset; |
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} |
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#share-btn-container div:nth-child(-n+2){ |
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width: auto !important; |
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min-height: 0px !important; |
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} |
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#share-btn-container .wrap { |
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display: none !important; |
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} |
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.gr-form{ |
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flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; |
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} |
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#prompt-container{ |
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gap: 0; |
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} |
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#generated_id{ |
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min-height: 700px |
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} |
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#setting_id{ |
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margin-bottom: 12px; |
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text-align: center; |
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font-weight: 900; |
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} |
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""" |
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iface = gr.Blocks(css=css) |
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with iface: |
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gr.HTML( |
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""" |
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<div style="text-align: center; max-width: 700px; margin: 0 auto;"> |
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<div |
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style=" |
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display: inline-flex; |
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align-items: center; |
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gap: 0.8rem; |
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font-size: 1.75rem; |
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" |
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> |
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<h1 style="font-weight: 900; margin-bottom: 7px; line-height: normal;"> |
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48kHz AudioLDM: Generating High-Fidelity Audio and Music with Text |
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</h1> |
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</div> |
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<p style="margin-bottom: 10px; font-size: 94%"> |
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<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> |
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</p> |
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</div> |
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""" |
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) |
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gr.HTML( |
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""" |
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<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. |
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<br/> |
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<a href="https://huggingface.co/spaces/haoheliu/AudioLDM_48K_Text-to-HiFiAudio_Generation?duplicate=true"> |
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> |
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<p/> |
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""" |
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) |
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with gr.Group(): |
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with gr.Box(): |
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textbox = gr.Textbox( |
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value="A forest of wind chimes singing a soothing melody in the breeze.", |
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max_lines=1, |
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label="Input your text here. If the output is not good enough, switching to a different seed will help.", |
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elem_id="prompt-in", |
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) |
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with gr.Accordion("Click to modify detailed configurations", open=False): |
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seed = gr.Number( |
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value=45, |
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label="Change this value (any integer number) will lead to a different generation result.", |
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) |
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duration = gr.Slider( |
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5, 15, value=10, step=2.5, label="Duration (seconds)" |
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) |
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guidance_scale = gr.Slider( |
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0, |
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6, |
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value=3.5, |
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step=0.5, |
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label="Guidance scale (Large => better quality and relavancy to text; Small => better diversity)", |
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) |
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n_candidates = gr.Slider( |
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1, |
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3, |
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value=3, |
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step=1, |
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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", |
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) |
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model_name = gr.Dropdown( |
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["audioldm_48k", "audioldm_crossattn_flant5", "audioldm2-full"], value="audioldm_48k", |
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) |
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outputs = gr.Video(label="Output", elem_id="output-video") |
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btn = gr.Button("Submit").style(full_width=True) |
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with gr.Group(elem_id="share-btn-container", visible=False): |
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community_icon = gr.HTML(community_icon_html) |
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loading_icon = gr.HTML(loading_icon_html) |
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share_button = gr.Button("Share to community", elem_id="share-btn") |
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btn.click( |
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text2audio, |
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inputs=[textbox, duration, guidance_scale, seed, n_candidates], |
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outputs=[outputs], |
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api_name="text2audio", |
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) |
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share_button.click(None, [], [], _js=share_js) |
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gr.HTML( |
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""" |
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<div class="footer" style="text-align: center; max-width: 700px; margin: 0 auto;"> |
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<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> |
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</p> |
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<br> |
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<p>Model by <a href="https://twitter.com/LiuHaohe" style="text-decoration: underline;" target="_blank">Haohe Liu</a></p> |
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<br> |
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</div> |
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""" |
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) |
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gr.Examples( |
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[ |
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[ |
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"Birds singing sweetly in a blooming garden.", |
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10, |
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3.5, |
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45, |
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3, |
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default_checkpoint, |
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], |
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[ |
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"A modern synthesizer creating futuristic soundscapes.", |
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10, |
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3.5, |
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45, |
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3, |
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default_checkpoint, |
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], |
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[ |
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"The vibrant beat of Brazilian samba drums.", |
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10, |
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3.5, |
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45, |
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3, |
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default_checkpoint, |
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], |
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], |
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fn=text2audio, |
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inputs=[textbox, duration, guidance_scale, seed, n_candidates, model_name], |
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outputs=[outputs], |
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cache_examples=True, |
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) |
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gr.HTML( |
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""" |
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<div class="acknowledgements"> |
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<p>Essential Tricks for Enhancing the Quality of Your Generated Audio</p> |
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<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> |
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<p>2. Try to use different random seeds, which can affect the generation quality significantly sometimes.</p> |
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<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> |
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</div> |
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""" |
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) |
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with gr.Accordion("Additional information", open=False): |
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gr.HTML( |
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""" |
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<div class="acknowledgments"> |
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<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> |
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</div> |
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""" |
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) |
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iface.queue(max_size=20) |
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iface.launch(debug=True) |
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