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:
- bb6a789b74805f2793c4586c02537c3f62dff9903ba74ce8a385e619a3b2bee2
- Size of remote file:
- 2.32 MB
- SHA256:
- f9c1c99ac01a23a8fb95722a566ef17c56147b11fe5c3b68d0cb7729ed0f09c6
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