T2I-Adapter VS Uni-ControlNet

Compare T2I-Adapter vs Uni-ControlNet and see what are their differences.

Uni-ControlNet

[NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models (by ShihaoZhaoZSH)
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T2I-Adapter Uni-ControlNet
25 5
3,158 508
2.9% -
7.9 5.3
6 months ago about 1 month ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

T2I-Adapter

Posts with mentions or reviews of T2I-Adapter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-03.

Uni-ControlNet

Posts with mentions or reviews of Uni-ControlNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

What are some alternatives?

When comparing T2I-Adapter and Uni-ControlNet you can also consider the following projects:

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)

Color-diffusion - A diffusion model to colorize black and white images

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

stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.