Instructions to use KuromituSan/FLEX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KuromituSan/FLEX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KuromituSan/FLEX", 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
- Xet hash:
- 9f8ddef8497162f89d85ee5c48a0102d56da1f1509021affd22877b01695e9cf
- Size of remote file:
- 3.49 GB
- SHA256:
- 5696e8542125c90203f7d3c391d1d16a06bb8d3c37ec36f35e5a15e787e98c53
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