--- license: apache-2.0 language: - en base_model: - Wan-AI/Wan2.1-T2V-14B pipeline_tag: text-to-video tags: - text-to-video - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: >- vh5_c4m3r4 old VHS style, the video starts with a close-up shot of a wall covered in graffiti. The camera slowly pans to the right, revealing more of the wall and a door. It then pans left, revealing a man in a black t-shirt with his back to the camera. He reaches toward the door, then pulls it open. The video ends with a shot of the man walking through the doorway. output: url: example_videos/1.mp4 - text: >- vh5_c4m3r4 old VHS style, the video shows a sandy beach with large rocks and a blue sky with some clouds. The waves are crashing on the shore. A person walks across the sand. The video is distorted, with horizontal lines and colored dots around the edges of the screen. output: url: example_videos/2.mp4 - text: >- vh5_c4m3r4 old VHS style, the video starts with an overhead shot of a car driving down a straight, two-lane road with a white line down the middle. There is a wooden fence to the left of the road, followed by a field of dry grass. The grass is a yellowish-brown color. There are hills in the distance and a bright blue sky with white puffy clouds. The video is distorted, with horizontal lines and colored dots around the edges of the screen. output: url: example_videos/3.mp4 ---
This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos in the style of vintage VHS!
The key trigger phrase is: vh5_c4m3r4 old VHS style
For prompting, check out the example prompts; this way of prompting seems to work very well.
This LoRA works with a modified version of Kijai's Wan Video Wrapper workflow. The main modification is adding a Wan LoRA node connected to the base model.
See the Downloads section above for the modified workflow.
The model weights are available in Safetensors format. See the Downloads section above.
Training was done using Diffusion Pipe for Training
Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!