Instructions to use ilkerzgi/krea-2-indigo-textile-craft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-indigo-textile-craft-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ilkerzgi/krea-2-indigo-textile-craft-lora") prompt = "a lighthouse on a rocky cliff. indigo textile craft style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 575a073d3e679de64dfb456ea9904a442ccb672b0c06e8ad6e04d864dca823de
- Size of remote file:
- 235 MB
- SHA256:
- bad8fa63d60d249f585feefaff8818478a1e03b7f1a02d3e864e5cae6f046d35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.