T2I-Adapter
Color-diffusion
| T2I-Adapter | Color-diffusion | |
|---|---|---|
| 25 | 2 | |
| 3,158 | 604 | |
| 2.9% | - | |
| 7.9 | 2.9 | |
| 6 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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T2I-Adapter
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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)
Color-diffusion
What are some alternatives?
sd-webui-controlnet - WebUI extension for ControlNet
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
ControlNet - Let us control diffusion models!
style2paints - sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
Latent-Paint-Mesh - NVDiffrast based implementation of Latent-Paint
ControlNet-v1-1-nightly - Nightly release of ControlNet 1.1
SPADE - Semantic Image Synthesis with SPADE
Uni-ControlNet - [NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.