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:
- 9e1f8b5a830ac83e54f4862d999fcf5d813e1823ba1d6058525dd730d76d6735
- Size of remote file:
- 2.13 GB
- SHA256:
- db7685419bb4a7e75508d05c4bb8d907c9dd499a714f5c02e165bbbfaeb9092b
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