--- base_model: inclusionAI/LLaDA-Image base_model_relation: quantized library_name: diffusers pipeline_tag: text-to-image tags: - llada-image - image-generation - image-editing - comfyui - int8 - gguf - quantized - rebelai --- # LLaDA-Image Base — ComfyUI INT8 + GGUF Quantized **LLaDA-Image Base** weights for the **RealRebelAI LLaDA-Image ComfyUI** custom nodes. Based on **inclusionAI/LLaDA-Image**, this release is intended for lower-memory ComfyUI inference while retaining the Base model workflow. ## ComfyUI Custom Nodes https://github.com/RealRebelAI/LLaDa-Image_ComfyUI Install into: ```text ComfyUI/custom_nodes/ComfyUI-LLaDA-Image/ ``` Restart ComfyUI after installation. ## Upstream Model Official Base model: https://huggingface.co/inclusionAI/LLaDA-Image Official project: https://github.com/inclusionAI/LLaDA-Image This is an unofficial quantized derivative and is not affiliated with inclusionAI. ## Included Weights ### Base INT8 Transformer ```text LLaDA-Image-Base-transformer-INT8.safetensors ``` Place in: ```text ComfyUI/models/diffusion_models/ ``` This is a native INT8 **Safetensors transformer**, not a transformer GGUF. ### Base Q4_K_M Text Encoder ```text LLaDA-Image-Base-text_encoder-Q4_K_M.gguf ``` Place in: ```text ComfyUI/models/text_encoders/ ``` The custom runtime uses City96 ComfyUI-GGUF support for the quantized LLaDA2 MoE text encoder. ## Requirement Install City96 ComfyUI-GGUF: https://github.com/city96/ComfyUI-GGUF ## VAE Place the compatible LLaDA VAE in: ```text ComfyUI/models/vae/ ``` Then select it in **LLaDA Image Loader**. The current custom nodes expose native VAE tiled decoding: ```text vae_tiling: On Auto Off ``` For low-VRAM GPUs, **On** is a good starting point. ## Base Recommended Settings ```text Steps: 50 CFG: 5.0 ``` LLaDA-Image Base is the full model rather than the distilled few-step Turbo variant. ## Text-to-Image ```text LLaDA Image Loader | v LLaDA Image Text to Image | v Save Image ``` Loader example: ```text diffusion_model: LLaDA-Image-Base-transformer-INT8.safetensors text_encoder: LLaDA-Image-Base-text_encoder-Q4_K_M.gguf vae: your LLaDA VAE dtype: bfloat16 vae_tiling: On ``` Start with **50 steps / CFG 5.0**. ## Native Image Editing The custom nodes support LLaDA-Image's **native image-editing mode**. This is not conventional img2img or denoise-strength emulation. The source image is passed through LLaDA-Image's native: ```text generation_mode="editing" ``` using its image-conditioning/SigVQ path. ```text LLaDA Image Loader -----------+ | Load Image -------------------+--> LLaDA Image Edit --> Save Image ``` Example: ```text Turn the fox into a white arctic fox while preserving the forest composition and realistic photography. ``` For Base editing, start with: ```text Steps: 50 CFG: 5.0 ``` Editing width and height must be divisible by **32**. The same Base transformer and text encoder are used for generation and editing. No separate editing checkpoint is required. ## Base vs Turbo ```text Base: Steps: ~50 CFG: ~5.0 Turbo: Steps: ~4 CFG: ~1.0 ``` ## Low-VRAM Notes - Use the INT8 transformer. - Use the Q4_K_M GGUF text encoder. - Enable VAE tiling. - Use CPU offload when necessary. - Do not load the original full text encoder alongside the quantized encoder. ## Model Placement ```text ComfyUI/ └── models/ ├── diffusion_models/ │ └── LLaDA-Image-Base-transformer-INT8.safetensors ├── text_encoders/ │ └── LLaDA-Image-Base-text_encoder-Q4_K_M.gguf └── vae/ └── .safetensors ``` ## Important Do **not** load the INT8 transformer through a GGUF diffusion loader. It is native INT8 Safetensors. The `.gguf` file in this release is the **text encoder**, not the diffusion transformer. ## Credits - **inclusionAI** — LLaDA-Image architecture and official model - **Hugging Face Diffusers** — pipeline/component infrastructure - **City96** — ComfyUI-GGUF / GGML support - **ComfyUI** — node and inference ecosystem - **RealRebelAI** — custom ComfyUI integration and quantized release ## License The upstream LLaDA-Image model and components remain subject to their original licenses and terms. Review the upstream license before redistribution or commercial use.