Instructions to use echarlaix/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 echarlaix/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("echarlaix/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
- Xet hash:
- 0d27e0f3d4ff01a997e810f0199b0690d2efdbe80e0207e2366b2de3694f91e8
- Size of remote file:
- 7.88 MB
- SHA256:
- 2679114fa15e68c9791aa4918ea8f052b06f9face02ff7550b7b7af422d38c1b
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