--- license: apache-2.0 language: - en base_model: - Wan-AI/Wan2.1-I2V-14B-480P - Wan-AI/Wan2.1-I2V-14B-480P-Diffusers pipeline_tag: image-to-video tags: - text-to-image - lora - diffusers - template:diffusion-lora - image-to-video widget: - text: >- The video begins with a portrait of a man. The scene cuts to the man in the sn0w_wh1t3 Snow White transformation. He is now wearing the classic Snow White dress, and his hair is pulled back in a braid. He is holding a red apple in his right hand. The background has changed to a forest. The background and lighting add to the Snow White scene. output: url: example_videos/man1_snow_white.mp4 - text: >- The video begins with a man in a sunny outdoor setting. The scene cuts to the man in the sn0w_wh1t3 Snow White transformation. He is now wearing the classic Snow White dress, and his hair is pulled back in a braid. He is holding a red apple in his right hand. The background has changed to a forest. The background and lighting add to the Snow White scene. output: url: example_videos/man2_snow_white.mp4 ---
This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to make any person/object in an image become a Snow White version of themselves!
The key trigger phrase is: sn0w_wh1t3 Snow White transformation
For best results, try following the structure of the prompt examples above. These worked well for me.
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!