Instructions to use btmccarthy15/SD2LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/SD2LORA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("btmccarthy15/SD2LORA") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- eb6eef8d9a49fc784f3c9131c6a644a24cbf98aed27007faaac08ab8ae02adbb
- Size of remote file:
- 1 kB
- SHA256:
- caa41152562e90f820cd8d847d8cfef38acaada6709d627eb4cde10531d6a002
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