Russian Blue Cat - Flux-V1.0

Russian Blue Cat - Flux Dev LoRA v1.0Initial Release - Photorealistic Russian Blue cat generation model## Version Information- Version: 1.0- Release Date: 2025-10-16- Status: Stable- Model Type: Flux Dev LoRA## What's New in v1.0 Initial Release- First public release of the Russian Blue cat LoRA model- 1000 training images across multiple resolutions- Optimized for photorealistic output- No trigger word required - natural language prompting## 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- Total Images: 1000- Resolutions: 1024×1024, 768×768, 512×512- Caption Format: Individual .txt files per image## Usage Guide### Basic UsageNo trigger word required - Simply describe what you want:russian blue cat, photorealistic photographyRussian blue cat portrait, professional lighting, detailed furRussian blue cat sitting on windowsill, natural light, shallow depth of field### Recommended Tagsrussian blue, cat, photorealistic, photography, detailed fur, green eyes### Optimal Settings for v1.0| Parameter | Recommended Value | Range || ------------------ | ----------------- | ------------------------- || LoRA Weight | 0.8-0.9 | 0.7-1.0 || CFG Scale | 5.0 | 3.5-7.0 || Sampling Steps | 25 | 20-30 || Sampler | Euler a | Euler a / DPM++ 2M Karras |### Example PromptsPortrait Style:russian blue cat portrait, photorealistic, professional photography,detailed blue-grey fur, bright green eyes, studio lighting, sharp focusEnvironmental Shots:russian blue cat sitting on a velvet cushion, natural window light,photorealistic, elegant pose, detailed whiskersClose-up Detail:russian blue cat face close-up, photorealistic photography,detailed fur texture, green eyes, soft lighting, shallow depth of field## Version-Specific Notes### Strengths- Excellent photorealistic quality- Accurate breed characteristics (blue-grey coat, green eyes)- Good detail in fur texture- Works well with natural lighting descriptions- Stable across different resolutions### Known Characteristics- Best results at LoRA weight 0.8-0.9- Responds well to photography-style prompts- Optimized for realistic lighting scenarios- Works best with descriptive prompts about pose and environment### Tips for Best Results1. Lighting: Include lighting descriptions (natural light, studio lighting, etc.)2. Detail Level: Mention specific details (fur texture, eye color, whiskers)3. Photography Terms: Use photography vocabulary (shallow depth of field, bokeh, sharp focus)4. Environment: Describe the setting or background5. Weight: Start at 0.8 and adjust based on your needs## Technical DetailsThis v1.0 release uses float8 precision for both transformer and text encoder to optimize memory usage while maintaining high-quality output. The model was trained over 7000 steps using the AdamW8bit optimizer with a balanced sigmoid timestep bias for efficient convergence and stable results.The diverse dataset spanning three resolution tiers (1024px, 768px, 512px) ensures the model performs well across different output sizes.## Compatibility- Base Model: Flux Dev- Recommended: Use with Flux Dev base model for best results- ComfyUI: Compatible with standard LoRA loader nodes- A1111/Forge: Compatible with built-in LoRA support## File Information- File Size: ~TBD MB- Format: SafeTensors- Precision: bf16## Future VersionsThis is the initial release. Future versions may include:- Fine-tuning based on community feedback- Additional training on specific poses or scenarios- Optimization for different art styles- Extended dataset for improved variety## Support & FeedbackFound an issue or have suggestions for v2.0? Please provide feedback to help improve future releases.## LicensePlease specify your license here.## CreditsModel Training: wangkanaiRelease Date: 2025-10-16Version: 1.0---For general model information and specifications, see readme-model.md