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
Download checkpoint-400/optimizer.bin from lora-library/walter-white-dreambooth: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/walter-white-dreambooth/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://lora-library/walter-white-dreambooth/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/walter-white-dreambooth/resolve/main/checkpoint-400/optimizer.bin
3.49 MB
- Xet hash:
- a2580eb4d10f55e1382d73dd223de784883ed88ecd3e602eabeead6c077cd82e
- Size of remote file:
- 3.49 MB
- SHA256:
- 08d627dfb571fad31987bd84cd735ea98e257d8b0aa1a217f7c25d712d8bfa9f
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