BitDance 14B 64x FP8

# BitDance 14B (FP8 & FP16) for ComfyUI: Low VRAM Optimization This repository contains the optimized FP8 and FP16 model files required to run the **BitDance 14B** model locally inside **ComfyUI** on consumer GPUs (12GB - 24GB VRAM). These weights have been manually quantized, tested, and verified to prevent CUDA Out of Memory (OOM) errors and "Black Screen" crashes during video generation. ### File Placement Instructions: * **`BitDance_14B_MainModel_FP8.safetensors`**: The main diffusion model. Place this in your `ComfyUI/models/diffusion_models/` folder. * **`BitDance_TextEncoder_FP8.safetensors`**: The required text encoder. Place this in your `ComfyUI/models/text_encoders/` folder. * **`BitDance_VAE_FP16.safetensors`**: The VAE for decoding. Place this in your `ComfyUI/models/vae/` folder. --- ## Required Custom Node & Workflow (.json) To successfully run these models without node errors, you must install the custom BitDance node and use the optimized node routing for low VRAM. * 💻 **Install the Custom Node:** [ComfyUI-BitDance on GitHub](https://github.com/aistudynow/Comfyui-bitdance) * 📖 **Download the exact `.json` workflow and step-by-step guide:** 👉 [How to Run BitDance 14B in ComfyUI (Low VRAM Workflow Fix)](https://aistudynow.com/how-to-fix-the-generic-face-bug-in-bitdance-14b-optimize-speed/) * 📖 **Youtube Tutorial Guide:** 👉 https://www.youtube.com/watch?v=4O9ATPbeQyg --- ### About the Creator Tested, compiled, and maintained by **Esha Sharma**, Founder of **[AI Study Now](https://aistudynow.com)**. I build and document custom ComfyUI workflows, GGUF optimizations, and local AI solutions for consumer hardware. * 📺 **Watch the video tutorial:** [@ComfyUIworkflows](https://www.youtube.com/@ComfyUIworkflows) * 💬 **Follow for updates:** [X/Twitter](https://x.com/aistudynowcom)

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