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_1.png from funseshon/pacifier: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/funseshon/pacifier/resolve/main/sample_1.png
- Command line
-
hf download hf://funseshon/pacifier/sample_1.png
-
curl -L -o sample_1.png https://huggingface.co/funseshon/pacifier/resolve/main/sample_1.png
1.4 MB

- Xet hash:
- 37c036d41830f1b97534f20e4ece1a0965b1b2266d978cf8f7e8db2c46997675
- Size of remote file:
- 1.4 MB
- SHA256:
- 44819d2a3d21b022d4230e501addb512424dfa413603e3fd7ba975d6234e5953
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