IMAGE → VIDEO • CURATED • UPDATED DEC 24, 2025
Wan 2.1
Open-source image-to-video with LoRA support
Generates high-quality videos with motion diversity from images using Wan 2.1 open-source model. Supports LoRA customization for fine-tuned control, enabling advanced users to adapt the model for specific styles and use cases. Provides full source code availability, allowing self-hosting, customization, and integration into custom workflows. Enables fine-tuning with LoRA (Low-Rank Adaptation) for specialized motion styles, character consistency, or domain-specific video generation.
QUICK TIPS
1
Review GitHub documentation for setup instructions
2
Use LoRA for style-specific fine-tuning
3
Experiment with different LoRA configurations
4
Self-host for privacy and control
5
Join community for support and examples
SIMILAR TOOLS
USE CASE EXAMPLES
Self-Hosted Video Generation
Set up Wan 2.1 for self-hosted video generation.
STEPS:
- Clone repository and install dependencies
- Download model weights
- Configure environment and GPU settings
- Test generation with sample images
- Deploy for production use
- Monitor and optimize performance
LoRA Customization
Fine-tune Wan 2.1 with LoRA for specific styles.
STEPS:
- Prepare training data for your style
- Set up LoRA training pipeline
- Fine-tune model with LoRA
- Test custom LoRA with generation
- Refine and iterate on LoRA
- Use custom LoRA for specialized generation
PRICING
Free
Completely free
FEATURED IN GUIDES
EXPLORE ALTERNATIVES
View Wan 2.1 Alternatives (2026) →
Compare Wan 2.1 with 5+ similar image → video AI tools.
FREQUENTLY ASKED QUESTIONS