--- 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: >- 3y3_cl053 eye extreme close up, The video shows a close up of a green cat-like eye with a shimmering emerald iris, resembling the Cheshire Cat. output: url: example_videos/1.mp4 - text: >- 3y3_cl053 eye extreme close up, The video begins with a headshot of a woman with green eyes. The camera smoothly zooms in toward her face, focusing tightly on one eye. The camera is extremely close to the eye as she looks straight at the camera and blinks. output: url: example_videos/2.mp4 - text: >- 3y3_cl053 eye extreme close up, The video shows a close up of a black eye with tiny white stars twinkling inside the iris, resembling a night sky. output: url: example_videos/3.mp4 - text: >- 3y3_cl053 eye extreme close up, The video shows a close up of a bright red eye with smoke-like patterns swirling in the iris and a glowing orange pupil. output: url: example_videos/4.mp4 ---
This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos depicting close ups of any kind of eye you describe! This actually also works well on the Wan2.1 I2V models. As long as a clear close-up of a face is presented, the video should zoom into and showcase the eye of the subject close-up, as in the second example video.
The key trigger phrase is: 3y3_cl053 eye extreme close up
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!