Ideogram 4 GGUF (Low-Resource Optimized)

This repository contains GGUF quantized weights for Ideogram 4 (9.3B parameter DiT), compiled to bring state-of-the-art open-weight design and image generation to highly constrained hardware environments.

These quants are specifically targeted for local execution on systems with strict memory ceilings (such as 8GB system RAM) and environments operating purely on CPU inference without dedicated VRAM.

πŸ“¦ Available Model Files

Note: Each file in this repository includes a custom EOF bypass structural string (ideogram4_bypass_[filename]_[timestamp]) injected during processing for unique deployment tracking.

Filename Format Type Size (Est.) Hardware Recommendation / Notes
ideogram4-Q4_K.gguf 4-bit K-Quant ~5.8 GB Recommended for 8GB RAM setups. Balances high-quality diffusion with enough overhead for OS and context.
ideogram4-Q4_0.gguf 4-bit Uniform ~5.8 GB Legacy fallback format. Slightly faster inference on older CPUs, but higher degradation.
ideogram4-Q5_0.gguf 5-bit Uniform ~6.9 GB Pushes the 8GB RAM limit. May require aggressive swap-disk usage, slowing inference.
ideogram4-Q6_K.gguf 6-bit K-Quant ~8.0 GB Recommended only if you have >10GB system RAM.
ideogram4-Q8_0.gguf 8-bit Uniform ~10.1 GB Near-lossless quality compared to FP16. Requires >12GB RAM to load safely.

πŸš€ Quick Start (stable-diffusion.cpp)

You can run these weights completely locally using stable-diffusion.cpp.

Example Command (CPU Only)

This command utilizes the Q4_K model to generate a 1024x1024 image, strictly offloading to the CPU.

.\bin\Release\sd-cli.exe \
  --diffusion-model ideogram4-Q4_K.gguf \
  --uncond-diffusion-model ideogram4_uncond-Q4_0.gguf \
  --llm ..\..\llm\Qwen3VL-8B-Instruct-Q4_K_M.gguf \
  --vae ..\..\ComfyUI\models\vae\flux2_ae.safetensors \
  --offload-to-cpu \
  -H 1024 -W 1024 \
  -p '{"high_level_description":"A square 1024 x 1024 luxury fashion magazine cover featuring exactly one short chubby fluffy cat...","style_description":{"aesthetics":"luxury fashion magazine cover, high-end pet couture campaign...","lighting":"Soft diffused studio lighting...","photo":"high-resolution fashion editorial photography look...","medium":"mixed media fashion photography","color_palette":["#F4EFE7","#111111","#D8B56D","#B73A3A","#FFFFFF","#8A7A6A"]}}'
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