realrebelai/LLaDa-Image-Turbo_ComfyUI

LLaDA-Image-Turbo — ComfyUI / RebelAI Quantization

Optimized weights for LLaDA-Image-Turbo intended for the RebelAI ComfyUI integration.

This repository supports both text-to-image generation and native LLaDA image editing.

Repositories

• ComfyUI nodes / GitHub: https://github.com/RealRebelAI/LLaDa-Image_ComfyUI
• Model weights / this Hugging Face repository: https://huggingface.co/realrebelai/LLaDa-Image-Turbo_ComfyUI
• Official base model: https://huggingface.co/inclusionAI/LLaDA-Image-Turbo
• Official LLaDA-Image source: https://github.com/inclusionAI/LLaDA-Image

Base Model / Quantization Tree

This repository is a quantized derivative of:

inclusionAI/LLaDA-Image-Turbo

The model-card metadata intentionally contains:

base_model: inclusionAI/LLaDA-Image-Turbo
base_model_relation: quantized

This associates the repository with the main LLaDA-Image-Turbo model as a quantized derivative in the Hugging Face model relationship/quantization tree.

Available Weights

File	Format	Description
LLaDA-Image-Turbo-transformer-BF16.safetensors	BF16 Safetensors	Full transformer weights
LLaDA-Image-Turbo-transformer-INT8.safetensors	INT8 Safetensors	Native INT8 transformer
LLaDA-Image-Turbo-text_encoder-Q4_K_M-v3.gguf	GGUF Q4_K_M	Quantized LLaDA2-MoE text encoder

Native INT8 Transformer

The INT8 transformer is stored as native Safetensors. It is not a transformer GGUF.

The custom ComfyUI runtime loads the quantized transformer while preserving the LLaDA-Image transformer architecture.

Q4_K_M Text Encoder

The LLaDA2-MoE text encoder is provided as Q4_K_M GGUF for substantially lower storage/runtime memory requirements than the original full text encoder.

Text-to-Image

LLaDA-Image-Turbo is designed for fast generation.

Recommended starting settings in the ComfyUI integration:

• Steps: 4
• CFG / guidance scale: 1.0

The ComfyUI nodes are available here:

https://github.com/RealRebelAI/LLaDa-Image_ComfyUI

Native Image Editing

The same LLaDA-Image-Turbo model also supports native image editing. No separate editing checkpoint is required.

The RebelAI ComfyUI node uses the model's native:

generation_mode="editing"

The source image is processed through LLaDA's image-conditioning/SigVQ path. This is not conventional img2img implemented with a denoise-strength slider.

Typical ComfyUI graph:

LLaDA Image Loader
        |
        v
LLaDA Image Edit <---- Load Image
        |
        v
    Save Image

Editing inputs include:

• Source image
• Edit instruction
• Width / height
• Steps
• Guidance scale
• Seed
• Optional negative prompt

Editing dimensions should be divisible by 32.

Example instruction:

Turn the fox into a white arctic fox while preserving the forest composition and realistic photography.

ComfyUI Installation

Get the custom nodes here:

https://github.com/RealRebelAI/LLaDa-Image_ComfyUI

Typical model placement:

ComfyUI/
└── models/
    ├── diffusion_models/
    │   ├── LLaDA-Image-Turbo-transformer-INT8.safetensors
    │   └── LLaDA-Image-Turbo-transformer-BF16.safetensors
    ├── text_encoders/
    │   └── LLaDA-Image-Turbo-text_encoder-Q4_K_M-v3.gguf
    └── vae/
        └── LLaDa_VAE.safetensors

The ComfyUI integration also loads the supporting LLaDA pipeline components required by the official architecture.

Upstream

All model architecture and original model weights originate from inclusionAI's LLaDA-Image project.

Official LLaDA-Image-Turbo:

https://huggingface.co/inclusionAI/LLaDA-Image-Turbo

Official source:

https://github.com/inclusionAI/LLaDA-Image

Please refer to the upstream project for the original model documentation, research information, and applicable licensing terms.

Credits

• inclusionAI — LLaDA-Image / LLaDA-Image-Turbo
• RealRebelAI — ComfyUI integration, INT8 runtime/weights, and GGUF text-encoder integration

License

These files are derivatives of LLaDA-Image-Turbo. The upstream model's applicable license and usage terms continue to apply. The ComfyUI integration code is maintained separately in the GitHub repository linked above.