Instructions to use lora-library/walter-white-dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/walter-white-dreambooth 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("lora-library/walter-white-dreambooth") prompt = "break bad" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 192638efdb75e24e3e9f58f6ae6e8305a64165ed936e2ed8f27cbf01a9c688d6
- Size of remote file:
- 3.42 MB
- SHA256:
- d9a07b5fedee331419c23fd8f6b0e638e8d1d78c0c9b5b998ee3767477a08763
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