Instructions to use fluently/Fluently-v2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-v2.5 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-v2.5", 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:
- 6c4093491e30aaf0fdd131c3094910082f4027eff7d06cebfea68b4788cf47e3
- Size of remote file:
- 2.13 GB
- SHA256:
- 7fc7d717e647d65d367767b5cbda24dc654ed25bf07763bd6db1c92431d92e53
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