Instructions to use hf-internal-testing/tiny-flux2-klein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-flux2-klein with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-flux2-klein", 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:
- 1540bac1561e3852dcc04a9294104d56f9a085e0bf0eba934aa26de75bc3f17c
- Size of remote file:
- 19.7 kB
- SHA256:
- 18881ee8836d36483ace7100fca90e742f9e75def3bc8d1c5fb0f6822483f2c5
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