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ControlNet with Txt2Img | Img2Img | + Multiple LoRAs, All in one jupyter notebook for Flux.1 dev. Able to run on Google Colab Free Tier

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LucipherDev/Flux.1-dev-ControlNet-jupyter

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Flux.1-dev-ControlNet-jupyter

  • Flux ControlNets with Txt2Img | Img2Img | + Multiple LoRAs, All in one notebook
  • Works in Google Colab Free Teir T4 GPU 🥳🥳
  • Uses Flux.1-dev GGUF models

Notebooks

Notebook Info
Open In Colab Flux.1-dev-XLabs_CN-jupyter (flux1-dev-Q4_K_S.gguf)
Open In Colab Flux.1-dev-Union_CN-jupyter (flux1-dev-Q2_K.gguf/Q8_0.gguf)
* This is still unstable in google colab free tier and prone to crashing because of low system RAM. Use at your own risk.

Features

Basic Functions [Txt2Img | Img2Img | + Multiple LoRAs] are as shown in LucipherDev/Flux.1-fp8-jupyter

X-Labs ControlNet

Preprocessors

  • Canny
  • Depth (DepthAnythingV2)
  • HED

ss1

preprocessor_examples_1

ss2

xlabs-cn-examples

Union-Pro ControlNet

Low RAM uses flux1-dev-Q2_K.gguf and gives low quality results, so using high RAM is advised as it uses flux1-dev-Q8_0.gguf

Preprocessors

  • Openpose
  • Depth (DepthAnythingV2)
  • HED
  • Pidi
  • Scribble
  • Ted
  • Canny
  • Lineart
  • Anime_lineart
  • MLSD
  • Normal
  • Segment

ss3

preprocessor_examples_1

ss4

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ControlNet with Txt2Img | Img2Img | + Multiple LoRAs, All in one jupyter notebook for Flux.1 dev. Able to run on Google Colab Free Tier

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