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 checkpoint-1000/optimizer.bin from funseshon/pacifier: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/funseshon/pacifier/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://funseshon/pacifier/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/funseshon/pacifier/resolve/main/checkpoint-1000/optimizer.bin
195 MB
- Xet hash:
- e33a15d7a4d3796a306865266d42e0dd8a117896fdc11ac3376d10fa85620265
- Size of remote file:
- 195 MB
- SHA256:
- 7dd5f2dd1a4ca150cdbfb97b48eb9c6622c13220084770dac3dac7d0d01d2452
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