Instructions to use JujoHotaru/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JujoHotaru/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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JujoHotaru/lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- 5.33 kB
- 3.16 MB xet
- 392 kB
- 1.54 MB xet
- 1.18 MB xet
- 1.46 MB xet
- 1.56 MB xet
- 1.5 MB xet
- 655 kB
- 507 kB
- 576 kB
- 693 kB
- 653 kB
- 390 kB
- 1.54 MB xet
- 1.2 MB xet
- 1.47 MB xet
- 1.58 MB xet
- 1.5 MB xet
- 651 kB
- 522 kB
- 570 kB
- 679 kB
- 642 kB
- 388 kB
- 620 kB
- 624 kB
- 578 kB
- 638 kB
- 673 kB
- 580 kB
- 698 kB
- 601 kB
- 644 kB
- 603 kB
- 392 kB
- 624 kB
- 649 kB
- 591 kB
- 641 kB
- 682 kB
- 606 kB
- 696 kB
- 607 kB
- 650 kB
- 577 kB
- 359 kB
- 446 kB