Instructions to use jyp96/teapot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/teapot 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/teapot") prompt = "A photo of sks teapot in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 6a10dfa00d2b9bc4739477319a5edd9f2d9a9bdd6864c632ca6b5d865fefd334
- Size of remote file:
- 19.1 MB
- SHA256:
- f2bb8413eae12320970295b9492c489bece29f1913726a76d5e09660dbd940a8
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