Instructions to use funseshon/pacifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/pacifier 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/pacifier") prompt = "A majestic snow leopard leaping across a jagged Himalayan cliffside during a swirling blizzard, captured in cinematic hyper-realism PACIFIER" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_2.png from funseshon/pacifier: direct link, hf CLI and curl.
- Browser
- Download file 1.18 MB
-
https://huggingface.co/funseshon/pacifier/resolve/main/sample_2.png
- Command line
-
hf download hf://funseshon/pacifier/sample_2.png
-
curl -L -o sample_2.png https://huggingface.co/funseshon/pacifier/resolve/main/sample_2.png
1.18 MB

- Xet hash:
- 8a92f4de62925f8a7606ca56d50f2c74e44d4cbd3a4bca08627b317160710022
- Size of remote file:
- 1.18 MB
- SHA256:
- 829272b02f63864be04db7b9a8657f39f8c2e0eecd25733dc6f5a98af9f24442
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