ByteDance Bagel LOCAL Test (Image Gen, Editing & Understanding)
AI Summary
In this video, Bijan Bowen provides a comprehensive overview of Bagel, a multimodal model from ByteDance Seed designed for text-to-image generation, image editing, and image understanding. The video details the local installation process on a single GPU, with demonstrations of various features including text-to-image generation, image editing, and image understanding tests. Bijan compares Bagel’s capabilities against leading tools and highlights its advanced world-modeling tasks. Additionally, he discusses the significance of ‘thinking’ and ‘non-thinking’ modes in the model’s functioning. The video encourages viewers interested in local vision models and agentic pipelines to explore Bagel further.
Timestamps:
- 00:00 - Intro
- 01:15 - Single GPU Pre-Reqs
- 02:31 - DFloat11 Fork
- 03:55 - Local Install Steps
- 06:25 - Machine Swap
- 07:07 - WebUI First Look
- 07:33 - Text-To-Image Test
- 09:05 - Image Edit Test
- 12:10 - Text-To-Image Test Two
- 13:33 - Image Understanding Test
- 15:39 - Notable Mentions
- 16:00 - Thinking Toggle Test
- 17:05 - Real Image Edit Test
- 19:10 - Trying That Again
- 21:00 - Real Image Understanding Test
- 22:50 - Closing Thoughts
Links:
- Join the Discord: AI Discussions
- Business/AI Consulting: Bijan Bowen
- Official Github Repo
- DFloat11 Local-Friendly Fork