Instructions to use zekaili/backpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zekaili/backpack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zekaili/backpack") prompt = "a photo of sks backpack" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-300/optimizer.bin from zekaili/backpack: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/zekaili/backpack/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://zekaili/backpack/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/zekaili/backpack/resolve/main/checkpoint-300/optimizer.bin
6.59 MB
- Xet hash:
- 874448c5c9c7f8b46b4a8bc196d50502b89b5520766daeb8fee9ad40c306eb5f
- Size of remote file:
- 6.59 MB
- SHA256:
- 49f264d7b163d4623146cce3bd986af81fb3a928388ba3e965bbd3e32b02b490
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