Instructions to use stabilityai/stable-diffusion-xl-refiner-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-refiner-1.0 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("stabilityai/stable-diffusion-xl-refiner-1.0", 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
Update README.md
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by ameerazam08 - opened
README.md
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@@ -63,7 +63,7 @@ You can use the model then as follows
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from diffusers import DiffusionPipeline
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import torch
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1
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pipe.to("cuda")
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# if using torch < 2.0
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from diffusers import DiffusionPipeline
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import torch
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
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pipe.to("cuda")
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# if using torch < 2.0
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