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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 72c55260be6a6c5b1d0814f447fcaa02a870f51009aeebc7b473ffffefb8662f
- Size of remote file:
- 4.47 MB
- SHA256:
- d613a4bc699db95ca62d3775725494817de8016df054b7e8b4c2dcaee6cdd4c8
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