Instructions to use jyp96/dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/dog6 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/dog6") prompt = "A photo of sks dog6 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from jyp96/dog6: direct link, hf CLI and curl.
- Browser
- Download file 1.32 MB
-
https://huggingface.co/jyp96/dog6/resolve/main/image_0.png
- Command line
-
hf download hf://jyp96/dog6/image_0.png
-
curl -L -o image_0.png https://huggingface.co/jyp96/dog6/resolve/main/image_0.png
1.32 MB

- Xet hash:
- c8234455597adb2349e1d62862a6a1592e29b1f59c32713409d2159441d8c9fd
- Size of remote file:
- 1.32 MB
- SHA256:
- 568341e0fa2c9e32ba212587c494ead11edb605ef211081b0f293fa9ea54fb66
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