Wan2.1 14B 480p I2V LoRAs
Collection
A collection of Remade's Wan2.1 14B 480p I2V LoRAs
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8 items
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Updated
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6
360 Degree Rotation Effect LoRA for Wan2.1 14B I2V 480p
Overview
This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to rotate any object in an image. The effect works on a wide variety of objects, from animals to vehicles to people!
Features
- Transform any image into a video of it being rotated
- Trained on the Wan2.1 14B 480p I2V base model
- Consistent results across different object types
- Simple prompt structure that's easy to adapt
Community
- Discord: Join our community to generate videos with this LoRA for free
- Request LoRAs: We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!
- Prompt
- The video shows a man seated on a chair. The man and the chair performs a r0t4tion 360 degrees rotation.
- Prompt
- The overweight boy rides the bicycle down the dirt road, showing a full r0t4tion 360 degrees rotation as he descends the hill, with a shocked expression.
- Prompt
- The cartoonish boy stands ready with his backpack, then performs a r0t4tion 360 degrees rotation, starting in a neutral pose.
- Prompt
- The video features a wooden chair with a blue cushion doing a r0t4tion 360 degrees rotation.
Model File and Inference Workflow
📥 Download Links:
- rotate_20_epochs.safetensors - LoRA Model File
- wan_img2vid_lora_workflow.json - Wan I2V with LoRA Workflow for ComfyUI
Recommended Settings
- LoRA Strength: 1.0
- Embedded Guidance Scale: 6.0
- Flow Shift: 5.0
Trigger Words
The key trigger phrase is: r0t4tion 360 degrees rotation
Prompt Template
For prompting, check out the example prompts; this way of prompting seems to work very well.
ComfyUI Workflow
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.
Model Information
The model weights are available in Safetensors format. See the Downloads section above.
Training Details
- Base Model: Wan2.1 14B I2V 480p
- Training Data: Trained on 30 seconds of video comprised of 12 short clips (each clip captioned separately) of things being rotated
- Epochs: 20
Additional Information
Training was done using Diffusion Pipe for Training
Acknowledgments
Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!
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Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support image-to-video models for diffusers library.
Model tree for Remade-AI/Rotate
Base model
Wan-AI/Wan2.1-I2V-14B-480P