Instructions to use Cosmo-Hug/FeverDream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cosmo-Hug/FeverDream with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cosmo-Hug/FeverDream", 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:
- d9c0259934ab41b3f62deb7a2bb2d75e8577db8b79c01e15da34950b1157d061
- Size of remote file:
- 1.47 MB
- SHA256:
- 62986cb1619eb8ad953fe3b84518df701b74c0d8f3f790b8ae2d7ae87a44be06
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