Instructions to use jyp96/vase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/vase 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/vase") prompt = "A photo of sks vase in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from jyp96/vase: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
-
https://huggingface.co/jyp96/vase/resolve/main/image_2.png
- Command line
-
hf download hf://jyp96/vase/image_2.png
-
curl -L -o image_2.png https://huggingface.co/jyp96/vase/resolve/main/image_2.png
1.07 MB

- Xet hash:
- 16d066274dc52979638d08dc69d7c4ef6109a406c126b2eee0c772219c1a649a
- Size of remote file:
- 1.07 MB
- SHA256:
- d66512f209756293000f308c9d2aad07c8275ad947b97ac6f82a2d5f768379d6
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