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realrebelai/LingBot_World_V2_ComfyUI
LingBot_World_V2_ComfyUI is a image-to-video model from realrebelai. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-sa-4.0.
GGUF quantizations of robbyant/lingbot-world-v2-14b-causal-fast for ComfyUIRebelsLingBotWorld — an action-controlled world model running on consumer GPUs (tested: RTX 3070 8GB / 16GB RAM).
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From the Hugging Face model README
GGUF quantizations of robbyant/lingbot-world-v2-14b-causal-fast for 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.
| File | Notes |
|---|---|
LingBot-World-14B-Q4_K_S.gguf (~11.7GB) | tested tier; Q5-bumped v-projections keep effective bpw ~6.7 |
| other tiers (Q4_K_M…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)
CC BY-NC-SA 4.0 (inherited from upstream): non-commercial, attribution, share-alike. Quantization is a format conversion only. Quants + nodes by RealRebelAI.