Instructions to use jyp96/dog5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/dog5 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/dog5") prompt = "A photo of sks dog5 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_3.png from jyp96/dog5: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/jyp96/dog5/resolve/main/image_3.png
- Command line
-
hf download hf://jyp96/dog5/image_3.png
-
curl -L -o image_3.png https://huggingface.co/jyp96/dog5/resolve/main/image_3.png
1.11 MB

- Xet hash:
- cfa50d9c3f286028469692c1f5ac27343d8e8e20608388762b9dd7c2018b77dc
- Size of remote file:
- 1.11 MB
- SHA256:
- 05e6bcd5ef68c6d28854ee8f18be59cdec01d376c53260893a9a118e4d729efd
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