Instructions to use Lonuhbow/horse1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lonuhbow/horse1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Lonuhbow/horse1") prompt = "A cinematic shot of Horse1 wearing futuristic neon armor, galloping through a rain-slicked cyberpunk city street at midnight." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a0a4506d229a3e818f11ad6498c25bf9ccadc349a4da74a4638a7fbd250ef19
- Size of remote file:
- 195 MB
- SHA256:
- f183d1438012bd947fbed9dcb9c5740565c801c728c981c75e3adbf9f9605dc1
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