Verified: a month ago
SafeTensor
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
A photorealistic LoRA model for generating Russian Blue cat images using Flux Dev architecture.
## Model Specifications
### Architecture
- **Base Model**: Flux Dev
- **Model Type**: LoRA
- **Transformer**: float8
- **Text Encoder**: float8
- **Linear Rank**: 64
- **Data Type**: bf16
### Training Configuration
- **Training Steps**: 7000
- **Gradient Accumulation**: 1
- **Batch Size**: 1
- **Timestep Type**: Sigmoid
- **Timestep Bias**: Balanced
- **Optimizer**: AdamW8bit
### Dataset Information
- **Total Images**: 1000
- **Image Dimensions**: 1024×1024, 768×768, 512×512
- **Captions**: Individual `.txt` files per image
## Usage
### Trigger Word
- **None required** - The model responds to natural language descriptions
### Recommended Tags
```
russian blue, cat, photorealistic, photography
```
### Example Prompts
```
A russian blue cat sitting on a windowsill, photorealistic photography
Russian blue cat portrait, professional photography, detailed fur texture
Photorealistic russian blue cat in natural lighting, shallow depth of field
```
## Description
This Flux Dev LoRA model specializes in generating highly photorealistic images of Russian Blue cats. Trained on 1000 high-quality images across multiple resolutions, the model captures the distinctive features of the Russian Blue breed including their blue-grey coat, green eyes, and elegant physique.
The model is optimized for photographic realism and works best with photography-style prompts and natural lighting descriptions.
## Technical Details
The model uses float8 precision for both transformer and text encoder to optimize memory usage while maintaining quality. Trained with a balanced sigmoid timestep bias over 7000 steps using the AdamW8bit optimizer for efficient convergence.
## Recommended Settings
- **LoRA Weight**: 0.7-1.0
- **CFG Scale**: 3.5-7.0
- **Sampling Steps**: 20-30
- **Sampler**: Euler a / DPM++ 2M Karras
## License
Please specify your license here.
## Credits
Model trained by wangkanai

