Instructions to use fluently/Fluently-epic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-epic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fluently/Fluently-epic", 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:
- 3d2d74067520b4fd312c0662e0ac6710aa43840550c76f664df764258e22bcdf
- Size of remote file:
- 1.72 GB
- SHA256:
- d73d69e0a3022f56e5729258d77595c99a3a6e66c99ae1ca8bfcab2be9f2434c
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