Instructions to use fluently/Fluently-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-v3 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-v3", 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:
- 0f937710b4c3082299af0f8fcc482be78b3102a1889977999352526ca05d7a10
- Size of remote file:
- 167 MB
- SHA256:
- bcef017a5c60b7b7587b2afe36405e83f3088dc07e1bace04dccd3bb6ba94cb3
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