Instructions to use funseshon/trapped-bj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/trapped-bj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("funseshon/trapped-bj") prompt = "A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from funseshon/trapped-bj: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/funseshon/trapped-bj/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://funseshon/trapped-bj/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/funseshon/trapped-bj/resolve/main/checkpoint-500/optimizer.bin
195 MB
- Xet hash:
- 60c539cfad4906a57039bf8756ef3f40d1646ebd32ef2eb12da50bf5283d3a6c
- Size of remote file:
- 195 MB
- SHA256:
- ee62a9cb6b95225278bde85303ad9a574bfeca3368910950916501b08a6e70e6
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