MAGIC
Language Models Can See: Plugging Visual Controls in Text Generation (by yxuansu)
InternChat
InternGPT / InternChat allows you to interact with ChatGPT by clicking, dragging and drawing using a pointing device. [Moved to: https://github.com/OpenGVLab/InternGPT] (by OpenGVLab)
| MAGIC | InternChat | |
|---|---|---|
| 2 | 1 | |
| 245 | 368 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 2 years ago | 12 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MAGIC
Posts with mentions or reviews of MAGIC.
We have used some of these posts to build our list of alternatives
and similar projects.
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What if TTI was ran backwards? Like showing an image and asking what prompt it would need and conditions (temperature, top_k, etc) to generate that image. This might give us a better glimpse at how it wants to receive prompts.
yeah you could force a model to try to fill in a provided prompt template like that. Check this out: https://github.com/yxuansu/MAGIC
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Cambridge AI Researchers Propose ‘MAGIC’: A Training-Free Framework That Plugs Visual Controls Into The Generation Of A Language Model
Github: https://github.com/yxuansu/magic
InternChat
Posts with mentions or reviews of InternChat.
We have used some of these posts to build our list of alternatives
and similar projects.