Wan2.2 Pixel Animate Adapter
A LoRA adapter for Wan 2.2 I2V (Image-to-Video) model, fine-tuned specifically for generating pixel art sprite animations from static images.
Model Details
| Property | Value |
|---|---|
| Base Model | Wan2.2-I2V-A14B (14B parameters) |
| Adapter Type | LoRA |
| LoRA Rank | 256 |
| Precision | bfloat16 |
| File Size | ~2.3 GB |
Training
- Epochs: 100
- Optimizer: AdamW (lr=2e-5, betas=[0.9, 0.99])
- Gradient Accumulation: 4 steps
- Activation Checkpointing: Unsloth
Dataset
Trained on 226 pixel art sprite animation videos covering:
- Character Sprites: Cowboys, zombies, skeletons, dark elves, fantasy characters, Santa, city characters, anime warriors
- Magic Effects: Projectiles, elemental spells, energy bursts
- VFX: Explosions, smoke effects, dust clouds
- Actions: Attack cycles (slashing, shooting, casting), idle animations, walking cycles
Resolution: 600x370 pixels Frame Buckets: 8, 16, 24, 32 frames (up to 2 seconds at 16fps)
Usage
This LoRA is designed for Image-to-Video generation - transforming static pixel art characters into animated sprite sequences.
ComfyUI Workflow
Load using LoraLoaderModelOnly node with the Wan 2.2 I2V model:
- Load base model:
wan2.2_i2v_high_noise_14B_fp16.safetensorsorwan2.2_i2v_low_noise_14B_fp16.safetensors - Apply this LoRA adapter with strength 1.0
- Use with
PainterI2Vnode for image-to-video conditioning - Recommended: Use with 4-step distillation LoRA for faster inference
See included wan2-2-video.json workflow file for a complete setup.
Recommended Settings
- Sampler: DDIM
- Steps: 4 (with distillation LoRA) or higher without
- ModelSamplingSD3 Shift: 5.0
- Frame Count: 45 frames
- CFG Scale: 1.1
Files
wan2.2_animate_adapter_model.safetensors- The LoRA adapter weightswan2-2-video.json- ComfyUI workflow for using this model
License
Please refer to the Wan 2.2 model license for usage terms.