General Information
The information on this website is provided on an "as is" basis. To the fullest extent permitted by law, Kontext LoRA excludes all representations, warranties, obligations, and liabilities arising out of or in connection with this website and its contents.
Educational Purpose
The content on this website is for educational and informational purposes only. While we strive to provide accurate and up-to-date information about Kontext LoRA and FLUX.1 AI technology, we make no guarantees about the completeness, reliability, or accuracy of this information.
AI-Generated Content
Our platform facilitates the generation of AI-created images using Kontext LoRA models. Users are responsible for:
- Ensuring compliance with applicable laws and regulations
- Respecting intellectual property rights
- Not creating harmful, illegal, or inappropriate content
- Understanding the limitations of AI-generated content
Technical Limitations
Kontext LoRA models and AI image generation technology have inherent limitations:
- Results may vary based on input quality and system configuration
- Generated content may contain artifacts or imperfections
- Model performance depends on hardware and software environments
- Training results are not guaranteed to meet specific expectations
Third-Party Services
Our website integrates with third-party services including Hugging Face, fal.ai, and Replicate. We are not responsible for:
- The availability or performance of third-party services
- Content or policies of external platforms
- Data handling practices of third-party providers
- Changes to third-party APIs or services
Professional Use
This platform is designed for research, educational, and creative purposes. For professional or commercial applications:
- Conduct thorough testing before deployment
- Verify compliance with industry standards
- Consider additional quality assurance measures
- Consult with legal professionals regarding licensing
Model Accuracy
AI models, including Kontext LoRA, are probabilistic systems that may produce unexpected or inaccurate results. Users should:
- Review all generated content carefully
- Verify accuracy for factual or technical applications
- Understand the training data limitations
- Use appropriate validation methods
System Requirements
Published system requirements are estimates based on typical usage. Actual requirements may vary depending on:
- Specific model complexity
- Image resolution and quality settings
- Concurrent processes and system load
- Hardware configuration and drivers
Data and Privacy
While we implement security measures to protect user data, we cannot guarantee absolute security. Users are responsible for:
- Protecting their own data and credentials
- Understanding data handling practices
- Compliance with data protection regulations
- Regular security best practices
Updates and Changes
This disclaimer may be updated periodically. Continued use of our services constitutes acceptance of any changes. Users are encouraged to review this disclaimer regularly.
Contact Information
For questions about this disclaimer, please contact us at:
Email: legal@kontextlora.lol