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realrebelai/Boogu-Image-Base_GGUFs

🤗 Hugging Face sourcetext-to-imageapache-2.043 GBGGUF✓ 5 checksumsupdated today
Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo realrebelai/Boogu-Image-Base_GGUFs ./model-folder
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Boogu-Image-0.1-Base GGUF

Required Text Encoder & VAE

To run the Boogu architecture properly, you cannot use standard SD or Flux encoders. You must download the specific VAE and multimodal text encoders.

  • Text Encoder (Qwen3-VL): You must use an FP8 scaled version of the Qwen3-VL encoder.
  • VAE (Flux): The Boogu pipeline utilizes the standard Flux VAE.

⚠️ Why are there no Q2 or Q3 K-Quants?

Currently, this repo only provides Flat Quants (Q4_0, Q4_1, Q5_0, Q5_1, Q8_0).

Standard K-quants (like Q2_K or Q3_K_M) require a hardcoded architectural mapping blueprint inside the llama.cpp source code. Because the Boogu/OmniGen architecture is brand new, those K-quant blueprints do not exist in the compiler yet. Flat quants bypass this requirement by forcing all 2D tensors to the target bit-depth.

If you are running an 8GB VRAM setup (like an RTX 3070), the Q4_0 is the recommended sweet spot for VRAM savings and quality.

How to use in ComfyUI

Prerequisite: Core Update Override Native support for the Boogu/OmniGen architecture has been merged from Pull Request #14523. If your Load Clip node doesnt have the Boogu architecture, you must manually fetch the PR into your ComfyUI installation.

  1. Open a command prompt directly inside your ComfyUI folder.
  2. Run the following commands to fetch and switch to the PR branch:
   git fetch origin pull/14523/head:boogu-pr
   git checkout boogu-pr