Instructions to use optimum-intel-internal-testing/tiny-random-flux.2-klein 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.2-klein with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-flux.2-klein", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51c5296b86e06ec0d1bf55ba9c841bb16272b56891fbeb0549b2a2da6d6fb4ea
- Size of remote file:
- 1.61 MB
- SHA256:
- 13544a91b4c195b192e2c90e0c79918df236d9b5c02ea0594161eba4dd8d0023
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