Instructions to use ostris/Flex.1-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/Flex.1-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/Flex.1-alpha", 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
How flux.1 dev Guiandec Embeding working ?
#3
by GuardSkill - opened
Great job, but I even don't know the theory of flux.1' Guiandec Embeding.
GuardSkill changed discussion title from Why reduce the parameters from 12B to 8B, for better trainning? to How flux.1 dev Guiandec Embeding working ?