Instructions to use fluently/Fluently-v4-LCM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-v4-LCM 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-LCM", 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:
- 063934d039944292ffd92604c7547a9b585b9b9ee2a563c1b73fd43481f13be7
- Size of remote file:
- 335 MB
- SHA256:
- 37f12faed1c4c980dab92887545b120780fdc6c383aad41fd64a8ab1cd7f828f
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