Instructions to use diffusers-test/test5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test5", 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:
- 1da43fde34863384bd7fcf72dd522fbc2ceacfd4be12723603c75a2ff7b85da7
- Size of remote file:
- 30.4 MB
- SHA256:
- b9e8d4614e24c89e99502000294af0aab73e9266029357377578e0a504b7f8d9
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