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:
- d349580f54d7477fec99d8c904c55b2f63a4fb982d4fede3a303098550fd2272
- Size of remote file:
- 3.44 GB
- SHA256:
- 7acf850c6dec7290434773be02fc0b01a665f5be2bb0b9ac3d6a6c899522775f
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