Instructions to use pabasar/tie-dye-batik-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
Tie-Dye Batik LoRA for Stable Diffusion XL
This is a LoRA model trained on tie-dye batik patterns, specifically for Stable Diffusion XL (SDXL). It can be used to generate tie-dye batik style textures.
Model Details
- Base Model: Stable Diffusion XL (SDXL) 1.0
- Training Parameters:
- Resolution: 512x512
- Training Steps: 500
- Learning Rate: 1e-04
- Batch Size: 1
- Gradient Accumulation Steps: 4
- Mixed Precision: fp16
- VAE: madebyollin/sdxl-vae-fp16-fix
Training
This model was trained on a custom dataset of tie-dye batik texture images with captions.
Check the official documentation on fine-tuning: https://huggingface.co/docs/diffusers/main/en/training/lora
Example Images
Usage
This LoRA should be used with Stable Diffusion XL 1.0.
Recommended prompt structure:
[trigger word], [overall shape], [pattern description], [colors]
Example prompt:
tie dye batik texture, spiral, radiating from center, green color, orange color, white color
Recommended weight: 0.7-1.0
Inference
Notebook on Kaggle: https://www.kaggle.com/code/pabasar/tie-dye-batik-diffusion
Model tree for pabasar/tie-dye-batik-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0