--- license: other 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 opens with a man. As the video progresses, the man begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground. output: url: example_videos/man_deflate.mp4 - text: >- The video opens with a lamp. As the video progresses, the lamp begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground. output: url: example_videos/lamp_deflate.mp4 - text: >- The video opens with a balloon. As the video progresses, the balloon begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground. output: url: example_videos/balloon_deflate.mp4 - text: >- The video opens with a cat. As the video progresses, the cat begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground. output: url: example_videos/cat_deflate.mp4 ---
This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to deflate 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: d3d1at3 deflate it
For best results, use this prompt structure:
Simply replace [object]
with whatever you want to see deflated!
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!