Instructions to use briannlongzhao/balloon_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/balloon_custom_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/balloon_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a <balloon>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 33f86f226eb8217692b8b0505535a3ee179319f2e9c5074ebc22f1182e684bd0
- Size of remote file:
- 102 MB
- SHA256:
- 5911d7281eeb4021dcf5f5552a8bd686699b9e0b00cd5253125a21856eea5598
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