Instructions to use didierkobi/araminta-chroma-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use didierkobi/araminta-chroma-loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-HD", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("didierkobi/araminta-chroma-loras") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Downloads last month
- 14
Model tree for didierkobi/araminta-chroma-loras
Base model
lodestones/Chroma1-HD
