Step1X-Edit from StepFun Image Editing AI Model - Install Locally
AI Summary
Video Summary: Step 1xEdit Framework for Image Editing
- Introduction
- Overview of the state-of-the-art image editing framework, Step 1xEdit.
- Utilizes multimodal models, specifically quen models.
- Installation
- Setup begins on an Ubuntu system with Nvidia RTX 6000 GPU.
- Instructions to create a virtual environment with Conda.
- Repository cloning with a link to the repo in the description.
- Installation of requirements is noted to take a few minutes.
- Architecture
- Framework comprises:
- MLM: Parses editing instructions and generates editing tokens.
- Connector Module: Refines embeddings into a textual feature representation.
- Diffusion Transformer: Generates edited images based on the refined representations.
- Initial weights are pre-trained for model efficiency.
- Running the Framework
- Command to launch Gradio demo provided.
- First run involves downloading a model of ~25 GB.
- Uses the default Gradio port for access.
- Image Editing Demonstrations
- Tested functionalities include:
- Removing elements from images (e.g., globe, a man).
- Changing themes and altering colors of images.
- Performance generally satisfactory, with some limitations noted (e.g., not all edits were successful).
- User Interaction
- Encouraged viewer engagement through comments and feedback on the editing results.
- Reminder for viewers to subscribe and share the content for further discussions.