--- 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 large, bald man rides a gray donkey, then infl4t3 inflates it, both the man and the donkey expanding into giant, inflated figures against the desert landscape. output: url: example_videos/man_inflate.mp4 - text: >- The stylish woman in a white pantsuit smiles, then infl4t3 inflates it, her form expanding, and her suit balloons around her in a chic, air-filled design. output: url: example_videos/woman_inflate.mp4 - text: >- The young boy riding a bicycle down the dirt road is surprised, then infl4t3 inflates it, his body and bike inflating together like a whimsical, cartoonish balloon. output: url: example_videos/cartoon_inflate.mp4 - text: >- The red apple sits on a light gray surface, then infl4t3 inflates it, its skin becoming taut and glossy as it transforms into a perfect, inflated sphere. output: url: example_videos/apple_inflate.mp4 ---
This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to inflate any object in an image. The effect works on a wide variety of objects, from animals to vehicles to people!
The key trigger phrase is: infl4t3 inflates it
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!