MagicPrompt-Stable-Diffusion
| Property | Value |
|---|---|
| Parameter Count | 137M |
| Framework | PyTorch |
| License | MIT |
| Downloads | 230,980 |
What is MagicPrompt-Stable-Diffusion?
MagicPrompt-Stable-Diffusion is a specialized GPT-2 based model designed to generate high-quality prompts for Stable Diffusion image generation. Trained on 80,000 carefully curated prompts from Lexica.art, this model underwent 150,000 training steps to learn the nuances of effective Stable Diffusion prompt creation.
Implementation Details
Built on the GPT-2 architecture, this model leverages transformer technology and supports both F32 and U8 tensor types. The implementation includes text-generation-inference capabilities and Core ML support, making it versatile for various deployment scenarios.
- Built on GPT-2 architecture
- Trained on 80,000 curated prompts
- 150,000 training steps
- Supports multiple tensor formats
Core Capabilities
- Generation of contextually relevant Stable Diffusion prompts
- Support for various deployment environments
- Integration with text-generation-inference systems
- Optimized for artistic and creative prompt generation
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in Stable Diffusion prompt generation and its extensive training on curated Lexica.art data sets it apart. With 137M parameters, it strikes a balance between capability and efficiency.
Q: What are the recommended use cases?
This model is ideal for artists and creators looking to generate effective Stable Diffusion prompts, AI researchers working on prompt engineering, and developers building automated image generation workflows.
