FLUX.1-controlnet-lineart-promeai
| Property | Value |
|---|---|
| Author | promeai |
| Framework | Diffusers |
| Training Infrastructure | A100-80G GPU |
| Training Duration | ~3 days (14000 steps) |
What is FLUX.1-controlnet-lineart-promeai?
FLUX.1-controlnet-lineart-promeai is a specialized ControlNet model trained on the black-forest-labs/FLUX.1-dev base model, designed specifically for line art conditioning in image generation tasks. This model represents a significant advancement in controlled image generation, trained on carefully curated proprietary real-world images.
Implementation Details
The model was trained using sophisticated infrastructure, utilizing an A100-80G GPU with varying configurations: initially with 512 image size and batch size 3, later transitioning to 1024 image size and batch size 1. The training process consumed approximately 70GB of GPU memory and took 3 days to complete 14000 steps.
- Supports both diffusers and comfyui workflows
- Implements bfloat16 precision for optimal performance
- Features adjustable conditioning scale for fine-tuned control
Core Capabilities
- Line art condition processing for image generation
- High-resolution output support (up to 1024px)
- Efficient processing with controlled memory usage
- Compatible with various prompt styles and artistic directions
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized training on line art conditioning, utilizing a high-end GPU infrastructure and carefully selected proprietary dataset, making it particularly effective for artistic control in image generation.
Q: What are the recommended use cases?
The model is ideal for artists and creators looking to generate detailed images based on line art inputs, particularly suitable for anime-style artwork and detailed illustrations with specific artistic control requirements.
