Instructions to use maxspire/scarpo-2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxspire/scarpo-2-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("maxspire/scarpo-2-lora", dtype=torch.bfloat16, device_map="cuda") prompt = "An illustration of scarpo dressed as a barbarian" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 16db1fa420e5ed6e5e47d7a65b3ec423995a258298f33ef368c0efba3ba8ebbb
- Size of remote file:
- 2.05 MB
- SHA256:
- 0ff7e2ed9c03825dde1f5b6c124b581b5eb383bc8dbe03920aa9a24bbdb0908b
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