LlamaCanvas Documentation¶
Welcome to the LlamaCanvas documentation. LlamaCanvas is an advanced AI-driven multi-modal generation platform with Claude API integration.
What is LlamaCanvas?¶
LlamaCanvas provides tools for creating and transforming visual content using state-of-the-art AI models. It integrates with Claude API and offers a comprehensive platform for image and video generation, manipulation, and enhancement.
Key Features¶
- Image Generation: Create images from text prompts using Stable Diffusion or Claude
- Image Enhancement: Upscale, denoise, and improve images with AI
- Style Transfer: Apply artistic styles to existing images
- Video Processing: Generate and manipulate video content
- Extensible Agent System: Integrate different AI models with a unified interface
- Multiple Interfaces: Web UI, CLI, and Python API options
- Claude Integration: Leverage Anthropic's Claude for multi-modal generation
- Pipeline Architecture: Chain operations for complex transformations
Installation¶
For more detailed installation options, see the Installation Guide.
Quick Start¶
Generate an image from text¶
from llama_canvas.core.canvas import Canvas
canvas = Canvas(width=512, height=512)
image = canvas.generate_from_text(
"A serene landscape with mountains and a lake at sunset"
)
image.save("landscape.png")
Apply style transfer¶
from llama_canvas.core.canvas import Canvas
from llama_canvas.core.image import Image
canvas = Canvas()
original = Image.load("input.png")
styled = canvas.apply_style(original, "Van Gogh")
styled.save("styled_output.png")
For more examples, check out the Quick Start Guide or browse the Examples section.
Documentation Structure¶
- User Guide: Detailed explanations of LlamaCanvas concepts and features
- API Reference: Comprehensive documentation of the Python API
- Examples: Sample code and usage patterns
- Contributing: Guidelines for contributing to LlamaCanvas
Support and Community¶
- GitHub Issues: Report bugs or request features
- GitHub Discussions: Ask questions and share ideas
License¶
LlamaCanvas is released under the MIT License. See the LICENSE file for details.