Instructions to use wujia/bra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wujia/bra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wujia/bra") prompt = "a photo of nnyg bra" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/pytorch_model.bin from wujia/bra: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/wujia/bra/resolve/main/checkpoint-200/pytorch_model.bin
- Command line
-
hf download hf://wujia/bra/checkpoint-200/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wujia/bra/resolve/main/checkpoint-200/pytorch_model.bin
3.29 MB
- Xet hash:
- 7bb712975dbe960922c01826d2c50189992c255acfccdad4933f32aa4ddd7b18
- Size of remote file:
- 3.29 MB
- SHA256:
- 70f6819fc6c6278a291c2deb9d1abf127af4d392a11f8d4ab3e38eea89944785
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