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:
- c58fdb6604f96c5c27f77c393336cc4b6e04659530a7b92a77044db78b71c5df
- Size of remote file:
- 9.6 MB
- SHA256:
- b13a91cae111c896cf337af3ffe67e3bda6135571c759e6ba5d73cc7490feb39
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