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/tts-eleven-labs"
# Request payload
data = {
"prompt": "In today's fast-paced world, many of us find ourselves racing against time. We're always planning, worrying, or reminiscing.",
"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
A text to get the audio output
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.
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
Eleven Labs Text-to-Speech (TTS) harnesses the power of deep learning to create realistic and engaging synthetic speech from written text. This user-friendly platform caters to a broad range of applications, including content creation, eLearning development, and marketing materials.
Natural-sounding Speech Synthesis: Produce high-quality audio that closely resembles human speech patterns, enhancing listener engagement.
Customizable Voice Selection: Choose from a library of diverse voices with varying accents, genders, and speaking styles for tailored audio experiences.
Advanced Emotional Control: Inflect the synthetic speech with desired emotions for impactful storytelling, presentations, or educational content.
Seamless Integration: Integrate Eleven Labs TTS with existing workflows through their API for efficient text-to-speech conversion.
Speaker Diarization: Automatically identify and differentiate between multiple speakers within a text script, ideal for generating audio dialogues or audiobooks.
Enhanced Content Creation: Generate high-quality voiceovers or audio narration for videos, presentations, and eLearning modules.
Improved Accessibility: Create audio descriptions or convert text-based content into spoken format for visually impaired audiences.
Streamlined Marketing Efforts: Produce engaging audio ads or product demonstrations for increased reach and brand awareness.
Multilingual Content Development: Generate multilingual audio content with natural-sounding voices to expand your global audience.
Realistic Voice Prototyping: Experiment with different voice styles and emotions to test the impact of your text content before final production.
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
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
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
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