styly-agents/Wan2-2-pixel-animate

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

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:

1. 1.Load base model: wan2.2_i2v_high_noise_14B_fp16.safetensors or wan2.2_i2v_low_noise_14B_fp16.safetensors
2. 2.Apply this LoRA adapter with strength 1.0
3. 3.Use with PainterI2V node for image-to-video conditioning
4. 4.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 weights
• —wan2-2-video.json - ComfyUI workflow for using this model

License

Please refer to the Wan 2.2 model license for usage terms.