π¨ R-Image-Base
Where Z-Image Base Meets the Signature Rebel Aesthetic.
π¨ UPDATE: GGUF Model Now Available!
The GGUF version is officially live. To get it running, follow these steps:
- Custom Node Required: Download and extract the
Rebels_RIB_Nodesfolder, Place it inside yourcustom_nodesdirectory. - Custom Node Required: city96s gguf custom node pack 'ComfyUI-GGUF'. (download in comfyui manager or github)
- Required Files: You must download the provided text encoder (qwen_3_4b_fp8_mixed) and VAE (ae) if you do not already have them in your text encoder and vae folders.
- Plug & Play: The node is configured to call all necessary files automatically.
- Important: Please USE THE PROVIDED WORKFLOW to ensure everything scales and loads correctly.
π About the Model
R-Image-Base is a merged checkpoint consisting of Z-image Base and a custom selection of LoRAs. It displays a heavy focus on portraits with extreme photorealistic detail and aesthetic enhancement, taking the foundation of Z-Image and pushing it into a high-fidelity space.
βοΈ Recommended Settings
For the best results, stick to these parameters:
| Setting | Recommended Value |
|---|---|
| Resolution | 2048 x 2048 |
| Steps | 30 - 50 |
| CFG Scale | 4.0 - 5.0 |
π οΈ Installation
Option 1: Full Weight Installation (Standard)
Use this if you want the uncompressed, full-fidelity experience.
- Download: The full weight Checkpoint file (place in checkpoints folder).
- Workflow: Use the provided JSON bf16 workflow for the best results.
Option 2: GGUF Installation (Optimized)
Use this for faster performance or lower VRAM usage.
- Download: the zip file 'Rebels_RIB_Nodes'. Place the
Rebels_RIB_Nodesfolder inside yourcustom_nodesdirectory. - Requirements: You must also have the text encoder (qwen_3_4b_fp8_mixed) and the VAE (ae) downloaded.
- Workflow: You must use the provided JSON gguf workflow for the GGUF node to function correctly.
Developed by Rebel AI ```
EXAMPLES:
Model Description
This is a merged checkpoint of Z-image Base and 2 of my own custom trained LoRAs. values are what i would consider perfect for any image generation and the loras were trained to be detail enhancing.
Model tree for realrebelai/R-Image-Base
Base model
Tongyi-MAI/Z-Image











































