Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use sang-kyung/bottle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sang-kyung/bottle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sang-kyung/bottle", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks bottle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3deb6b7d4e8205c84502ed5ed71668e87d4c9ab3a752e941f82a9afcb3382172
- Size of remote file:
- 1.36 GB
- SHA256:
- fd035159c0513004d5fa94c4e18a82cb9c97576179c32e00e335dfa70458405e
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