modelslab_py 0.1.5

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ModelsLab Python SDK

Official Python SDK for ModelsLab API - Generate AI content including images, videos, audio, 3D models, and more.

Installation

pip install modelslab_py

Create a client.

from modelslab_py.core.client import Client

client = Client(api_key="your_api_key")

Features

• Image Generation and Editing
• Video Generation
• Audio Processing
• 3D Model Generation
• Interior Design
• Deepfake Operations
• Community Models Integration

Usage Examples

Image Editing

from modelslab_py.core.client import Client
from modelslab_py.core.apis.image_editing import Image_editing
from modelslab_py.schemas.image_editing import BackgroundRemoverSchema

client = Client(api_key="your_api_key")
api = Image_editing(client=client, enterprise=False)

schema = BackgroundRemoverSchema(
    image="https://example.com/image.jpg",
    base64=False
)

response = api.background_remover(schema=schema)
print(response)

Video Generation

from modelslab_py.core.apis.video import Video
from modelslab_py.schemas.video import Text2Video

client = Client(api_key="your_api_key")
api = Video(client=client, enterprise=False)

schema = Text2Video(
    model_id="zeroscope",
    prompt="a cat walking in a garden",
    num_frames=30
)

response = api.text_to_video(schema=schema)
print(response)

Interior Design

from modelslab_py.core.apis.interior import Interior
from modelslab_py.schemas.interior import InteriorSchema

client = Client(api_key="your_api_key")
api = Interior(client=client, enterprise=False)

schema = InteriorSchema(
    prompt="modern minimalist bedroom",
    init_image="https://example.com/room.jpg"
)

response = api.interior(schema=schema)
print(response)

Audio Processing

from modelslab_py.core.apis.audio import Audio
from modelslab_py.schemas.audio import Text2Speech

client = Client(api_key="your_api_key")
api = Audio(client=client, enterprise=False)

schema = Text2Speech(
    prompt="Hello, welcome to ModelsLab",
    voice_id="madison",
    language="english"
)

response = api.text_to_speech(schema=schema)
print(response)

3D Generation

from modelslab_py.core.apis.three_d import Three_D
from modelslab_py.schemas.threed import Text23D

client = Client(api_key="your_api_key")
api = Three_D(client=client, enterprise=False)

schema = Text23D(
    prompt="a wooden chair",
    model_id="meshy-4",
    output_format="obj"
)

response = api.text_to_3d(schema=schema)
print(response)

Community Models

from modelslab_py.core.apis.community import Community
from modelslab_py.schemas.community import Text2Image

client = Client(api_key="your_api_key")
api = Community(client=client, enterprise=False)

schema = Text2Image(
    prompt="a beautiful landscape",
    model_id="midjourney",
    width=512,
    height=512
)

response = api.text_to_image(schema=schema)
print(response)

API Categories

• Image Editing: Background removal, super resolution, inpainting, outpainting
• Video: Text-to-video, image-to-video, watermark removal
• Audio: Text-to-speech, voice conversion, music generation
• Interior: Room design, floor planning, object placement
• 3D: Text-to-3D, image-to-3D model generation
• Deepfake: Face swapping, video manipulation
• Community: Access to community-trained models

Documentation

For detailed documentation, visit docs.modelslab.com

Support

• Discord: Join our community
• Twitter: @ModelsLabAI
• GitHub: ModelsLab

License

See LICENSE file for details.