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-300/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-300/optimizer.bin
- Command line
-
hf download hf://jyp96/cat/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jyp96/cat/resolve/main/checkpoint-300/optimizer.bin
19.1 MB
- Xet hash:
- 2191b509115f4655b873f2854837720af4fb4b30de185f6a4355fde99db79e3e
- Size of remote file:
- 19.1 MB
- SHA256:
- 29c9d03356cba077e2cf5e96dae5d81c9c5595c987125b268952ccf7fcb3fca0
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