If you're looking for an API, you can choose from your desired programming language.
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import requests
import base64
# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
with open(image_path, 'rb') as f:
image_data = f.read()
return base64.b64encode(image_data).decode('utf-8')
# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
response = requests.get(image_url)
image_data = response.content
return base64.b64encode(image_data).decode('utf-8')
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/sts-eleven-labs"
# Request payload
data = {
"input_audio": "https://segmind-sd-models.s3.amazonaws.com/display_images/sad_talker/sad_talker_audio_input.mp3",
"voice": "Sarah"
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated image
Input Audio URL
Voice name
Allowed values:
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Eleven Labs Speech-to-Speech (STS) leverages deep learning technology to offer a powerful and versatile voice conversion solution. It enables users to modify various aspects of audio speech, catering to diverse applications in content creation, media production, and accessibility.
Speaker Identity Conversion: Transform the speaker's voice in an audio file while preserving the original content. Choose from a library of diverse voice styles and genders for a customized output.
Emotional Style Transfer: Infuse the converted speech with desired emotions, such as happiness, anger, or sadness. This functionality enhances the expressiveness and impact of audio content.
Language Translation with Voice Conversion: Achieve seamless audio translation while maintaining a natural-sounding voice in the target language. This feature expands the reach and accessibility of multilingual content.
Real-time Voice Cloning: Generate a synthetic voice clone that replicates a specific speaker's voice characteristics. This allows for voiceover creation or speech modification tasks.
Advanced Audio Editing: Utilize functionalities like noise reduction, silence removal, and audio mixing for professional-grade audio editing within the Eleven Labs platform.
Content Personalization: Enhance the engagement of your audience by tailoring the voice and emotional delivery of audio content.
Accessibility Improvements: Create multilingual audio content with natural-sounding voices, removing language barriers for global audiences.
Streamlined Content Creation: Generate voiceovers or modify existing audio speech efficiently, accelerating production workflows.
Preserving Speaker Identity: Maintain the speaker's voice characteristics while enhancing audio quality or modifying language for broader reach.
Creative Voice Exploration: Experiment with diverse voice styles and emotions to inject new life into your audio projects.
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software