Instructions to use optimum-intel-internal-testing/tiny-random-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-flux", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 7ba772cc220494d3607c833d38d144c2243d29191e6704d38c1cda8a9afb7d8e
- Size of remote file:
- 19.5 kB
- SHA256:
- 89cdd1f3bc35f3137b689abf8317887a7345517f55e0835c7c76a73dfcfba030
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