Instructions to use optimum-intel-internal-testing/tiny-random-stable-diffusion-xl-refiner 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-stable-diffusion-xl-refiner 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-stable-diffusion-xl-refiner", 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
IlyasMoutawwakil HF Staff
Mirror from echarlaix/tiny-random-stable-diffusion-xl-refiner
cffa1ba verified - Xet hash:
- c6c760e5d5ad797ed7420b5318574e08774991bd677c0de7ac44001bb561043a
- Size of remote file:
- 305 kB
- SHA256:
- b43a66b5be83dd3f41111fcb1f77cdfd43b310488ac4fb6d2be473857b695c45
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