--- license: other license_name: lingbot-video-license license_link: https://huggingface.co/robbyant/lingbot-video-dense-1.3b base_model: robbyant/lingbot-video-dense-1.3b library_name: diffusers tags: - f16 - video - text-to-video - image-to-video - comfyui - wan-vae - qwen3-vl - low-vram - quantization --- # LingBot-Video-Dense-1.3B — ComfyUI repack (single-file, 8GB-VRAM ready)
## UPDATE! - added a prompt rebuilder node to satisfy the models need for a VERY strict json structure. this is not normal json, its what i like to call "LingBot" json prompting as its alot more in depth. try it out! Repackaged weights of [robbyant/lingbot-video-dense-1.3b](https://huggingface.co/robbyant/lingbot-video-dense-1.3b) for use with the **[ComfyUI_Rebels_LingBot](https://github.com/RealRebelAI/ComfyUI_Rebels_LingBot)** node pack. No weight modification — the original diffusers shards are merged/renamed into single files for ComfyUI's model folders. All configs ship inside the node pack. Runs T2V and TI2V on an **RTX 3070 8GB / 16GB RAM**: the Qwen3-VL encoder is loaded on CPU, used, and freed before the 1.3B DiT (2.79GB bf16, fully VRAM-resident) starts. ## Files | File | Put in | Size | |---|---|---| | `LingBot_1.3b_DiT.safetensors` | `ComfyUI/models/diffusion_models/` | ~2.8 GB | | `LingBot_text-encoder.safetensors` | `ComfyUI/models/text_encoders/` | ~8 GB | | `LingBot_vae.safetensors` | `ComfyUI/models/vae/` | ~0.5 GB | The text encoder is the repo's Qwen3-VL, shards merged into one file (bit-identical tensors). `lm_head.weight` is intentionally absent — it is tied to `embed_tokens`; the node pack re-ties it at load. ## Recommended settings - **832×480**, up to **81 frames**, 40 steps, shift 3.0 - guidance **3.0** (t2v) / **~3.0** (TI2V — higher burns color on image runs) - export at **24 fps** - VAE tiling **off** unless you must (temporal color/exposure drift on long clips) ~14 s/it on a 3070 at the settings above (sequential CFG); ≈10 minutes per 81-frame clip. ## Notes & limitations - The trained window is 81 frames; longer generations collapse. - Square/other aspect ratios are out-of-distribution (letterboxing artifacts) — stay at 832×480. - 1.3B-class video: modest motion complexity; rendered text (signs/labels) is not legible. - TI2V requires the image to be fed to **both** the encode node (vision conditioning) and the sampler (first-frame latent) in the node pack's workflow. ## License Weights inherit the upstream **LingBot-Video license** (see `license_link`). This repo is a format repack only; review the upstream terms before commercial use or redistribution. Repack + nodes by [RealRebelAI](https://huggingface.co/realrebelai).