Download Wan 2.1 workflow and models to generate cinematic videos in ComfyUI
Note
- Windows: NVIDIA GPU with 8GB+ VRAM required (CUDA drivers must be updated)
- macOS: M-series chips only (Intel not supported)
- Storage: 30GB+ free disk space minimum
Generation Demo
You can save this original image to your computer for testing.
480P Video
720P Video
Prompts:
A futuristic cyberpunk car speeding through a neon-lit city at night during heavy rain, captured with an FPV (First Person View) camera angle. The vehicle dynamically follows the fast-paced motion as it races along an elevated highway, moving at extreme speed with high wheel rotation, splashing water dramatically onto the wet pavement. Raindrops on the car’s surface stream backward due to the intense velocity, creating a dynamic visual effect. Neon lights reflect vividly on the glossy, rain-soaked road, enhancing the immersive and high-tech atmosphere. Glowing tire trails and futuristic energy streaks follow the motion of the car, emphasizing the sense of speed and fluidity. In the background, drones hover in the air, firing occasional red laser beams, adding tension and sci-fi action to the scene. The lighting is cinematic, with smooth motion blur, high-tech aesthetics, and a fast-paced, thrilling vibe.
Download Workflows
Wan 2.1 Image-to-Video
Wan 2.1 transforms images into high-definition cinematic videos with dual output resolutions (480P and 720P). Using our provided workflow, users can generate smooth motion effects effortlessly without complex configuration."
Wan 2.1 480P
⏬Download Wan 2.1 480P GGUF Workflow (for Windows)
⏬Download Wan 2.1 480P GGUF Workflow (for macOS)
Model Storage Location
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 clip_vision/
│ │ └── clip_vision_h.safetensors
│ ├── 📂 diffusion_models/
│ │ └── wan2.1-i2v-14b-480p-Q4_K_M.gguf // Select a model according to your VRAM capacity.
│ ├── 📂 text_encoders/
│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors or umt5_xxl_fp16.safetensors
│ └── 📂 vae/
│ └── wan_2.1_vae.safetensorsFrom: city96/Wan2.1-I2V-14B-480P-gguf
Wan 2.1 720P
⏬Download Wan 2.1 720P GGUF Workflow (for Windows)
⏬Download Wan 2.1 720P GGUF Workflow (for macOS)
Model Storage Location
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 clip_vision/
│ │ └── clip_vision_h.safetensors
│ ├── 📂 diffusion_models/
│ │ └── wan2.1-i2v-14b-720p-Q4_K_M.gguf // Select a model according to your VRAM capacity
│ ├── 📂 text_encoders/
│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors or umt5_xxl_fp16.safetensors
│ └── 📂 vae/
│ └── wan_2.1_vae.safetensorsFrom: city96/Wan2.1-I2V-14B-720P-gguf
Download Model Files
In the ComfyUI runtime window, you can find the "Model Download" feature. We have provided some commonly used models—simply click the download button to start downloading, saving you the hassle of searching for models elsewhere.
For more models, check out the following websites:
Mainland China users:
Global users:
Contact us
If you still encounter issues, please contact our technical support team. tech@daiyl.com