Instructions to use lora-library/lora-dreambooth-sample-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/lora-dreambooth-sample-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lora-library/lora-dreambooth-sample-dog", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "sksdog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 18126f02c6d144a24004ad28d3706942703959a07b2dbfe26579b35be4bacfb6
- Size of remote file:
- 3.42 MB
- SHA256:
- 0e2aa481ceb1b1f560482e409195e4c177cacb1925df74cd3de4fbac6a556c3e
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