Instructions to use fluently/Fluently-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-anime 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-anime", 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:
- a920ffd70a7e3a7fa693a3453a01b18e92b7f87a3126c0be0b865ed1bd4375d2
- Size of remote file:
- 167 MB
- SHA256:
- 0d51ef620ae4f13f0c2c0d0a178cea44544003ad052f2c49dbc07c6954377177
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