Modelpublic

realrebelai/LingBot_World_V2_ComfyUI

sourceHugging Facecc-by-nc-sa-4.0updated 2mo agoView on Hugging Face

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Model Card

license: cc-by-nc-sa-4.0 basemodel: robbyant/lingbot-world-v2-14b-causal-fast pipelinetag: image-to-video tags: [world-model, video, gguf, comfyui, wan, camera-control, low-vram] ---

LingBot-World-v2 14B causal-fast — GGUF (8GB-VRAM ready)

GGUF quantizations of robbyant/lingbot-world-v2-14b-causal-fast for [ComfyUI_Rebels_LingBotWorld](https://github.com/RealRebelAI/ComfyUI_Rebels_LingBotWorld) — an action-controlled world model running on consumer GPUs (tested: RTX 3070 8GB / 16GB RAM).

You author a camera/movement track (or type one into the Action Builder node); the model renders the video that track produces from your start image, with genuine action following. Offline generation, chunked causal sampling, 4 distilled steps per chunk.

Files

File	Notes
`LingBot-World-14B-Q4_K_S.gguf` (~11.7GB)	tested tier; Q5-bumped v-projections keep effective bpw ~6.7
other tiers (Q4KM…Q8_0)	quality ladder; RAM-streamed, VRAM use is unchanged

Also required: Wan2.1_VAE.pth, a UMT5-XXL GGUF encoder (loads via ComfyUI-GGUF CLIPLoader, type wan)

Settings that matter (8GB)

—Resolution preset 256×448 (default) or 320×544; world-memory window 6+2
—The KV cache is the world memory: it scales with window × resolution (upstream 18+6 @ 480×832 ≈ 21GB — does not fit consumer cards; the sampler pre-checks and refuses instead of hanging)
—frame_num 4n+1; start at 21; export 16 fps

License

CC BY-NC-SA 4.0 (inherited from upstream): non-commercial, attribution, share-alike. Quantization is a format conversion only. Quants + nodes by RealRebelAI.

https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/OBwm3rX-WJ5s8a-EePAbK.mp4