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_1.png from jyp96/dog6: direct link, hf CLI and curl.
- Browser
- Download file 1.31 MB
-
https://huggingface.co/jyp96/dog6/resolve/main/image_1.png
- Command line
-
hf download hf://jyp96/dog6/image_1.png
-
curl -L -o image_1.png https://huggingface.co/jyp96/dog6/resolve/main/image_1.png
1.31 MB

- Xet hash:
- 985dc6a1fb824ac8bb438e9ba746990d39cf654909f0200016da816950839fb8
- Size of remote file:
- 1.31 MB
- SHA256:
- 7272324a72d0340d22bc063fc8813b44bff5ea3761cb9399401d98a202676a15
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