Instructions to use fluently/Fluently-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-v4 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-v4", 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:
- e8682c22b1de3d9f2d1f13761a4ebbb787558be572aa44c8dadf0a7790df3aaa
- Size of remote file:
- 2.13 GB
- SHA256:
- 007c13402de5e92aa9ab676271d887c3e561a28718e7ab703d1d526824582284
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