BPModel
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Research Paper | View Paper |
| Base Resolution | 768/1024 |
| Training Dataset | Crosstyan/BPDataset (5k images) |
What is BPModel?
BPModel is an innovative Stable Diffusion model that pushes the boundaries of image generation resolution. Based on ACertainty, it's trained on a carefully curated dataset of 5,000 high-quality images, specializing in anime-style character generation with particular attention to detail and composition.
Implementation Details
The model underwent extensive training across different resolutions: 30 epochs at 512 resolution (10 V100 GPU hours), 30 epochs at 768 resolution (60 V100 GPU hours), and 10 epochs at 1024 resolution (100 V100 GPU hours). It implements aspect ratio bucketing for optimal image generation at various sizes.
- Supports high-resolution generation up to 1024x1024 base resolution
- Utilizes advanced aspect ratio bucketing system
- Incorporates xformers for improved performance
- Requires external VAE for optimal results
Core Capabilities
- High-fidelity anime character generation
- Superior handling of complex poses and compositions
- Improved detail retention at higher resolutions
- Specialized in serafuku and character-focused scenes
Frequently Asked Questions
Q: What makes this model unique?
BPModel stands out for its high-resolution training approach and specialized focus on quality anime-style character generation, trained with base resolutions of 768 and 1024 - a rare feature in the Stable Diffusion ecosystem.
Q: What are the recommended use cases?
The model excels at generating high-quality anime-style character illustrations, particularly for scenes involving detailed character designs, serafuku uniforms, and complex compositions. It's recommended to use Clip skip 2 and enable "Upscale latent space image when doing hires. fix" for optimal results.
