Instructions to use lora-library/grateful-dead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/grateful-dead 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/grateful-dead") prompt = "gd" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from lora-library/grateful-dead: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/grateful-dead/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://lora-library/grateful-dead/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/grateful-dead/resolve/main/checkpoint-800/optimizer.bin
3.49 MB
- Xet hash:
- b35f05dc8cd620be75857298349fcc6bec51dacc4f4d78423185e2a3df88e0cd
- Size of remote file:
- 3.49 MB
- SHA256:
- 6dcb6a8e6c315043efd1edbe7ba4960f52ecba62e402a105720eb4e87cb1d202
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