LCM LoRA
by Latent Consistency
Latent Consistency Model adapter for fast few-step generation.
Quick Facts
- Model Size
- 0.1B (adapter)
- Context Length
- N/A
- Release Date
- Oct 2023
- License
- OpenRAIL++
- Provider
- Latent Consistency
- KYI Score
- 8.1/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 0.1B (adapter)
- License
- OpenRAIL++
- Pricing
- free
- Release Date
- October 6, 2023
- Category
- image
Key Features
Pros & Cons
Pros
- ✓Very fast
- ✓Easy to use
- ✓Compatible with many models
- ✓Efficient
Cons
- !Lower quality
- !Requires base model
- !Less control
Ideal Use Cases
Fast generation
Real-time applications
Prototyping
LCM LoRA FAQ
What is LCM LoRA best used for?
LCM LoRA excels at Fast generation, Real-time applications, Prototyping. Very fast, making it ideal for production applications requiring image capabilities.
How does LCM LoRA compare to other models?
LCM LoRA has a KYI score of 8.1/10, with 0.1B (adapter) parameters. It offers very fast and easy to use. Check our comparison pages for detailed benchmarks.
What are the system requirements for LCM LoRA?
LCM LoRA with 0.1B (adapter) requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.
Is LCM LoRA free to use?
Yes, LCM LoRA is free and licensed under OpenRAIL++. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
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