Instructions to use lraza8632/LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lraza8632/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("lraza8632/LoRAs", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.66 kB
- 37.9 MB xet
- 151 MB xet
- 75.6 MB xet
- 9.55 MB xet
- 207 kB xet
- 151 MB xet
- 151 MB xet
- 171 MB xet
- 456 MB xet
- 89 Bytes
- 1.3 GB xet
- 913 MB xet
- 1.3 GB xet
- 1.51 GB xet
- 151 MB xet
- 113 MB xet
- 151 MB xet
- 238 MB xet
- 456 MB xet
- 37.9 MB xet
- 151 MB xet
- 151 MB xet
- 6.87 MB xet
- 19 MB xet
- 13.6 MB xet
- 9.55 MB xet
- 67.4 MB xet
- 58.5 MB xet
- 81.5 MB xet
- 151 MB xet
- 151 MB xet
- 151 MB xet
- 913 MB xet
- 151 MB xet
- 9.55 MB xet
- 37.9 MB xet
- 151 MB xet
- 75.6 MB xet
- 7.01 MB xet
- 78.3 MB xet
- 342 MB xet
- 151 MB xet
- 302 MB xet
- 75.6 MB xet
- 342 MB xet
- 228 MB xet