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import spaces
import torch
import torchaudio
from einops import rearrange
from stable_audio_tools import get_pretrained_model
from stable_audio_tools.inference.generation import generate_diffusion_cond
import gradio as gr
import os
from huggingface_hub import login
# Authentifizierung
if os.environ.get("HUGGING_FACE_HUB_TOKEN"):
login(token=os.environ["HUGGING_FACE_HUB_TOKEN"])
@spaces.GPU(duration=180)
def generate_audio(prompt, duration=10, steps=50, cfg_scale=7):
device = "cuda" if torch.cuda.is_available() else "cpu"
# Modell laden und zum Gerät verschieben
model, model_config = get_pretrained_model("stabilityai/stable-audio-open-1.0")
model = model.to(device)
sample_rate = model_config["sample_rate"]
sample_size = model_config["sample_size"]
# Konditionierung einrichten
conditioning = [{
"prompt": prompt,
"seconds_start": 0,
"seconds_total": duration
}]
# Audio generieren mit anpassbaren Parametern
output = generate_diffusion_cond(
model,
steps=steps,
cfg_scale=cfg_scale,
conditioning=conditioning,
sample_size=sample_size,
sigma_min=0.3,
sigma_max=500,
sampler_type="dpmpp-3m-sde", # Besserer Sampler
device=device
)
# Audio-Batch in eine einzelne Sequenz umwandeln
output = rearrange(output, "b d n -> d (b n)")
# Peak-Normalisierung, Clipping, Konvertierung zu int16
output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
return output, sample_rate
def generate(prompt, duration=10, steps=50, cfg_scale=7):
audio, sr = generate_audio(prompt, duration, steps, cfg_scale)
return (sr, audio.numpy())
# Verbesserte Benutzeroberfläche
iface = gr.Interface(
fn=generate,
inputs=[
gr.Textbox(label="Prompt", placeholder="Beschreiben Sie den gewünschten Sound..."),
gr.Slider(minimum=1, maximum=30, value=10, step=1, label="Dauer (Sekunden)"),
gr.Slider(minimum=20, maximum=100, value=50, step=5, label="Anzahl der Schritte"),
gr.Slider(minimum=1, maximum=15, value=7, step=0.5, label="CFG Scale"),
],
outputs=gr.Audio(label="Generiertes Audio"),
title="Stable Audio Generator",
description="Generieren Sie Audio aus Textbeschreibungen mit Stable Audio 1.0",
)
if __name__ == "__main__":
iface.launch()
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