Instructions to use jyp96/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jyp96/cat") prompt = "A photo of sks cat in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from jyp96/cat: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/jyp96/cat/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://jyp96/cat/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jyp96/cat/resolve/main/checkpoint-400/optimizer.bin
19.1 MB
- Xet hash:
- 3e853e2d04a687b6cad06d2876116d18282383d816b50af290745dd7050deb78
- Size of remote file:
- 19.1 MB
- SHA256:
- ef54ff4028ebdbcf44af21e0d8f38ce5f168cf195764b41598444bee8358db27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.