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---
title: AWS Nova Canvas
emoji: 🚀
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.6.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Generate image variations
---
<div align="center" style="display: block;margin-left: auto;margin-right: auto;width: 50%;">
<h1>AWS Nova Canvas Image Generation</h1>
<h1 >
<img width="300" height="300" src="sloth.jpg" alt="float-app icon">
</h1>
<div style="display: flex; justify-content: center; align-items: center;">
<h4 style="margin: 0; display: flex;">
<a href="https://www.apache.org/licenses/LICENSE-2.0.html">
<img src="https://img.shields.io/badge/license-Apache2.0-blue" alt="float is under the Apache 2.0 liscense" />
</a>
<a href="https://docs.aws.amazon.com/nova/latest/userguide/what-is-nova.html">
<img src="https://img.shields.io/badge/AWS%20Nova%20Canvas-violet" alt="Expo Version" />
</a>
<a href="https://cloud.google.com/text-to-speech/docs/basics">
<img src="https://img.shields.io/badge/Gradio%205.6.0-yellow" alt="Google Text-To-Speech" />
</a>
<a href="https://www.python.org/downloads/">
<img src="https://img.shields.io/badge/python->=3.12.8-blue">
</a>
</h4>
</div>
<p><b>From Thought - To Concept <br> <a href="https://hatman-aws-nova-canvas.hf.space"> Nova Canvas » </a> </b> </p>
</div>
A Gradio application for advanced image generation using AWS Nova Canvas, offering comprehensive image manipulation capabilities.
## Capabilities
- **Text to Image**: Generate images from text prompts
- **Inpainting**: Modify specific image areas
- **Outpainting**: Extend image boundaries
- **Image Variation**: Create image variations
- **Image Conditioning**: Generate images based on input image and text
- **Color Guided Content**: Create images using reference color palettes
- **Background Removal**: Remove image backgrounds
## Prerequisites
- AWS credentials configured (AmazonBedrockFullAccess)
- HF Token for Input Image Check
- Boto3 Python library
- Gradio 5.6.0
## Install
```script
git clone https://github.com/hatmanstack/canvas-demo.git
cd canvas-demo
python -r requirements.txt
```
- Create a .env in the root directory with AWS and HuggingFace credentials
- grant access in us-east-1 to Nova Family of Models
- grant full Bedrock Access
- grant access to s3 bucket in region of your choice
.env
```script
AWS_ID=<aws>
AWS_SECRET=<aws>
NOVA_IMAGE_BUCKET=<bucket name>
BUCKET_REGION=<bucket region>
HF_TOKEN=<hugging face token with either read or write capabilities for content moderation>
RATE_LIMIT=<Around .04 per image for Stanard quality and .08 for Premium, each rate_limit unit counts as 1 Standard, Refreshes every 20 minutes>
```
## Technical Details
- Model: Amazon Nova Canvas (amazon.nova-canvas-v1:0)
- Model: Amazon Nova Lite (us.amazon.nova-lite-v1:0)
- Image Generation Parameters:
- Default resolution: 1024x1024
- Quality: Standard
- CFG Scale: 8.0
- Configurable seed
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