Instructions to use jyp96/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/dog 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/dog") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from jyp96/dog: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/jyp96/dog/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://jyp96/dog/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jyp96/dog/resolve/main/checkpoint-200/optimizer.bin
19.1 MB
- Xet hash:
- af30c802889799ae168fd4686505176d5d7800e6ce19906c05dedf149320bc4c
- Size of remote file:
- 19.1 MB
- SHA256:
- 52aceadcf6b9e1b93da9d3d98c6edd9a22fda4649c665eedfe21f27c3145025e
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