# kijai/comfyui-wanvideowrapper **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/kijai-comfyui-wanvideowrapper).** 6,554 stars · 670 forks · Python · Apache-2.0 ## Links - GitHub: https://github.com/kijai/ComfyUI-WanVideoWrapper - awesome-repositories: https://awesome-repositories.com/repository/kijai-comfyui-wanvideowrapper.md ## Description I've made everythign less reliant on torch.compile for VRAM efficiency, so things should work better even without it. Also figured workaround for some issues when using compile that made first run use drastically more VRAM, issue I battled with myself a lot. ## Tags ### Development Tools & Productivity - [Video Generation Node Suites](https://awesome-repositories.com/f/development-tools-productivity/comfyui-custom-node-suites/video-generation-node-suites.md) — A custom node pack that integrates video generation models into ComfyUI workflows with VRAM-efficient inference. ### Artificial Intelligence & ML - [Text-to-Video Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-pipelines/text-to-video-generators.md) — Generates video content from text prompts using transformer-based video models. - [Video](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-optimization-and-inference/serving-and-runtime/large-language-model-optimization/model-inference-optimizations/gguf-execution/gguf-loading-guides/model-loaders/video.md) — Loads FP8-scaled and GGUF quantized versions of Wan2.1 video models for reduced memory usage. - [Image-to-Video Generation](https://awesome-repositories.com/f/artificial-intelligence-ml/video-generation/image-to-video-generation.md) — Generates video sequences from reference images using transformer-based models. ([source](https://cdn.jsdelivr.net/gh/kijai/comfyui-wanvideowrapper@main/README.md)) - [VRAM-Constrained Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/video-generation/vram-constrained-generators.md) — Generates high-quality video content from text or images while managing memory constraints through quantization and offloading. - [Transformer Block Offloaders](https://awesome-repositories.com/f/artificial-intelligence-ml/vram-offloading/transformer-block-offloaders.md) — Offloads transformer blocks between VRAM and system RAM to reduce memory usage during video generation. - [Video Model Adapter Mergers](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-training-and-tuning/fine-tuning-and-customization/model-fine-tuning/pre-trained-model-zoos/model-adaptation-frameworks/weight-adapters/adapter-weight-mergers/video-model-adapter-mergers.md) — Merges LoRA adapter weights into video generation models with merged or unmerged configuration options. - [Video Model Adapter Mergers](https://awesome-repositories.com/f/artificial-intelligence-ml/model-weight-management/lora-adapter-loaders/video-model-adapter-mergers.md) — Merges LoRA adapter weights into video generation models, choosing between merged or unmerged configurations. ([source](https://cdn.jsdelivr.net/gh/kijai/comfyui-wanvideowrapper@main/README.md)) - [Third-Party Model Integration](https://awesome-repositories.com/f/artificial-intelligence-ml/third-party-model-integration.md) — Loads and runs additional video generation models and techniques within the same workflow. - [Video Model Integrators](https://awesome-repositories.com/f/artificial-intelligence-ml/third-party-model-integration/video-model-integrators.md) — Loads and runs additional video generation models and techniques within a unified workflow. - [Video Model Loaders](https://awesome-repositories.com/f/artificial-intelligence-ml/third-party-model-integration/video-model-loaders.md) — Loads and runs third-party video generation models within the same workflow. ([source](https://cdn.jsdelivr.net/gh/kijai/comfyui-wanvideowrapper@main/README.md)) - [LoRA Weight Mergers](https://awesome-repositories.com/f/artificial-intelligence-ml/weight-merging/lora-weight-mergers.md) — Merges LoRA adapter weights into video generation models with configurable merged or unmerged states. - [Video Model Adapter Mergers](https://awesome-repositories.com/f/artificial-intelligence-ml/weight-merging/video-model-adapter-mergers.md) — Merges LoRA adapter weights into video generation models to customize outputs without retraining. ### Education & Learning Resources - [Overlapping Window Extenders](https://awesome-repositories.com/f/education-learning-resources/sliding-window-algorithms/sliding-window-inference/long-sequence-video-inference-engines/overlapping-window-extenders.md) — Ships an overlapping-window technique to generate long videos with limited VRAM. ([source](https://cdn.jsdelivr.net/gh/kijai/comfyui-wanvideowrapper@main/README.md)) - [Overlapping Window Generators](https://awesome-repositories.com/f/education-learning-resources/sliding-window-algorithms/sliding-window-inference/long-sequence-video-inference-engines/overlapping-window-generators.md) — Produces extended video sequences by processing overlapping frame windows to overcome VRAM limitations. ### Graphics & Multimedia - [Quantized Model Loading](https://awesome-repositories.com/f/graphics-multimedia/image-file-loading/labeled-image-loading-from-dataframes/quantized-model-loading.md) — Loads FP8-scaled and GGUF quantized model variants to lower memory footprint and accelerate inference. - [Video Model Quantized Loaders](https://awesome-repositories.com/f/graphics-multimedia/image-file-loading/labeled-image-loading-from-dataframes/quantized-model-loading/video-model-quantized-loaders.md) — Loads FP8-scaled and GGUF quantized video model variants to reduce memory usage and speed up inference. - [Context Window Extenders](https://awesome-repositories.com/f/graphics-multimedia/video-frame-processing/context-window-extenders.md) — Implements context-window video extension that processes overlapping frame windows to generate long sequences under VRAM constraints. ### Software Engineering & Architecture - [Transformer Block Offloaders](https://awesome-repositories.com/f/software-engineering-architecture/block-based-data-models/data-block-memory-management/gpu-block-memory-management/transformer-block-offloaders.md) — Ships a block-offloading mechanism that swaps transformer blocks between VRAM and system RAM to reduce peak memory usage.