Hasbulla DreamBooth Model
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Framework | PyTorch, Diffusers |
| Model Type | Stable Diffusion |
| Community Stats | 75 likes, 6 downloads |
What is hasbulla?
The Hasbulla model is a specialized Stable Diffusion implementation fine-tuned using DreamBooth technology to generate images in the style of the internet personality Hasbulla. This model won the DreamBooth Hackathon and gained recognition when featured on Hasbulla's official Twitter account.
Implementation Details
This model leverages the StableDiffusionPipeline architecture with DPMSolverMultistepScheduler for optimal performance. It's designed to run on CUDA-enabled devices with float16 precision for efficient processing.
- Implements custom instance prompt: "hasbulla person"
- Optimized for 25 inference steps
- Supports guidance scale adjustment (default: 7)
- Compatible with Gradio Web UI and Google Colab environments
Core Capabilities
- Generate Hasbulla-style portraits and artistic interpretations
- Create variations with different artistic styles (e.g., Van Gogh-style)
- Batch processing with multiple images per prompt
- Flexible integration with Python environments
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized fine-tuning on Hasbulla imagery and its recognition as a DreamBooth Hackathon winner. Its ability to generate high-quality, stylized images has been validated by the community, including recognition from Hasbulla's social media presence.
Q: What are the recommended use cases?
The model is ideal for creating artistic interpretations of Hasbulla in various styles, generating portrait-style images, and experimenting with creative visual content. It's particularly suitable for social media content creation and artistic projects.
