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T2I-Adapter reviews and mentions
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Help me understand ControlNet vs T2I-adapter vs CoAdapter
I've found some documentation here https://github.com/TencentARC/T2I-Adapter/blob/SD/docs/coadapter.md
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Color-Diffusion: using diffusion models to colorize black and white images
Yeah, if you have a high res image, you can get color info at super low-res and then regenerate the colors at high res with another model. (though this isn't an efficient approach at all)
https://github.com/TencentARC/T2I-Adapter
i've also seen a controlnet do this.
- Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
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Reflected Diffusion Models
https://github.com/TencentARC/T2I-Adapter
It works with the Mikubill ControlNet plugin for A1111.
- Is it possible to replace objects with an already segmented image by ControlNet?
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ControlNet v1.1 has been released
These are from Tencent: https://github.com/TencentARC/T2I-Adapter
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Can someone explain some of these newer controlnet models and preprocessors? Clipvision? Color? Pidinet? Binary?
I think they're for T2I-adapter models, which can be downloaded here.
- T2I-Adapter: Text-to-Image Models with Unprecedented Control
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How do I combine two images using AUTOMATIC1111?
Apart from Controlnet, T2I Adapter works quite well for this. https://github.com/TencentARC/T2I-Adapter
- T2IAdapter creates Coadapter(inspired by Composer)
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
TencentARC/T2I-Adapter is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of T2I-Adapter is Python.