Generate Stunning Images and Craft Visual Stories for your Brand
73
stars
398
commits
Python
primary language
Oct 25, 2024
updated
README
PicPilot is a scalable solution that leverages state-of-the-art Text to Image Models to extend and enhance images and create product photography in seconds for your brand. Whether you're working with existing product images or need to generate new visuals, PicPilot prepares your visual content to be stunning, professional, and ready for marketing applications.
Features
✅ Flux Inpainting for detailed image editing
✅ SDXL (Stable Diffusion XL) with LoRA for high-quality image generation
✅ SDXL Outpainting for extending images seamlessly
✅ Image to Video Generation using CogvideoX
✅ Batch processing support with configurable batch sizes and timeouts
Why PicPilot?
Creating professional product photography and visual narratives can be time-consuming and expensive. PicPilot aims to revolutionize this process by offering an AI-powered platform where you can enhance existing images, generate new ones, or even convert images to videos, creating stunning visuals for your brand in seconds.
Installation
git clone https://github.com/VikramxD/Picpilot
cd Picpilot
Install Dependencies:
./run.sh
🛳️ Docker
To use PicPilot with Docker, execute the following commands:
docker pull vikram1202/picpilot:latest
docker run --gpus all -p 8000:8000 vikram1202/picpilot:latest
Alternatively, if you prefer to build the Docker image locally:
docker build -t picpilot .
docker run --gpus all -p 8000:8000 picpilot
Usage
Run the Server:
cd api
python picpilot.py
This will start the server on port 8000 with all available API endpoints.
API Endpoints
PicPilot offers the following API endpoints:
| Endpoint | Path | Purpose | Max Batch Size | Batch Timeout |
|---|---|---|---|---|
| Flux Inpainting | /api/v2/painting/flux | Detailed image editing and inpainting | 4 | 0.1 seconds |
| SDXL Generation | /api/v2/generate/sdxl | High-quality image generation using SDXL with LoRA | Configured in tti_settings | Configured in tti_settings |
| SDXL Outpainting | /api/v2/painting/sdxl_outpainting | Extending images seamlessly | 4 | 0.1 seconds |
| Image to Video | /api/v2/image2video/cogvideox | Converting images to videos | 1 | 0.1 seconds |
Next Features
- Support for Image Editing in FLUX Models
- Support for Custom Flux LORA'S
- Support for CogvideoX finetuning
Limitations
- Requires Powerful GPU's to Run for optimal performance Especially the FLUX Models
- Processing time may vary depending on the complexity of the task and input size
- Image to video conversion is limited to one image at a time
License
PicPilot is licensed under the MIT license. See LICENSE for more information.
Acknowledgements
This project utilizes several open-source models and libraries. We express our gratitude to the authors and contributors of:
- Diffusers
- LitServe
- Transformers
Contributors
398 commits
Similar repos
Languages
Python
98.2%
Dockerfile
1.3%
Generate Stunning Images and Craft Visual Stories for your Brand
73
stars
398
commits
Python
primary language
Oct 25, 2024
updated
README
PicPilot is a scalable solution that leverages state-of-the-art Text to Image Models to extend and enhance images and create product photography in seconds for your brand. Whether you're working with existing product images or need to generate new visuals, PicPilot prepares your visual content to be stunning, professional, and ready for marketing applications.
Features
✅ Flux Inpainting for detailed image editing
✅ SDXL (Stable Diffusion XL) with LoRA for high-quality image generation
✅ SDXL Outpainting for extending images seamlessly
✅ Image to Video Generation using CogvideoX
✅ Batch processing support with configurable batch sizes and timeouts
Why PicPilot?
Creating professional product photography and visual narratives can be time-consuming and expensive. PicPilot aims to revolutionize this process by offering an AI-powered platform where you can enhance existing images, generate new ones, or even convert images to videos, creating stunning visuals for your brand in seconds.
Installation
git clone https://github.com/VikramxD/Picpilot
cd Picpilot
Install Dependencies:
./run.sh
🛳️ Docker
To use PicPilot with Docker, execute the following commands:
docker pull vikram1202/picpilot:latest
docker run --gpus all -p 8000:8000 vikram1202/picpilot:latest
Alternatively, if you prefer to build the Docker image locally:
docker build -t picpilot .
docker run --gpus all -p 8000:8000 picpilot
Usage
Run the Server:
cd api
python picpilot.py
This will start the server on port 8000 with all available API endpoints.
API Endpoints
PicPilot offers the following API endpoints:
| Endpoint | Path | Purpose | Max Batch Size | Batch Timeout |
|---|---|---|---|---|
| Flux Inpainting | /api/v2/painting/flux | Detailed image editing and inpainting | 4 | 0.1 seconds |
| SDXL Generation | /api/v2/generate/sdxl | High-quality image generation using SDXL with LoRA | Configured in tti_settings | Configured in tti_settings |
| SDXL Outpainting | /api/v2/painting/sdxl_outpainting | Extending images seamlessly | 4 | 0.1 seconds |
| Image to Video | /api/v2/image2video/cogvideox | Converting images to videos | 1 | 0.1 seconds |
Next Features
- Support for Image Editing in FLUX Models
- Support for Custom Flux LORA'S
- Support for CogvideoX finetuning
Limitations
- Requires Powerful GPU's to Run for optimal performance Especially the FLUX Models
- Processing time may vary depending on the complexity of the task and input size
- Image to video conversion is limited to one image at a time
License
PicPilot is licensed under the MIT license. See LICENSE for more information.
Acknowledgements
This project utilizes several open-source models and libraries. We express our gratitude to the authors and contributors of:
- Diffusers
- LitServe
- Transformers
Similar repos
Contributors
398 commits
Languages
Python
98.2%
Dockerfile
1.3%