Instructions to use 2weaks/bottle1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 2weaks/bottle1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("2weaks/bottle1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 87c649ef40f8638007f8978776308f9845f19407af7fba07e1b2aeb9b4488e25
- Size of remote file:
- 246 MB
- SHA256:
- 25e8717132d12dbca303e394168b50cf830e5cf3b7e8bdc7f2797d81a120ba96
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