Image-to-Image
Diffusers
StableDiffusionImageVariationPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use lambda/sd-image-variations-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/sd-image-variations-diffusers 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("lambda/sd-image-variations-diffusers", 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
Commit ·
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Parent(s): ff5cc82
Update README.md
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README.md
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@@ -28,7 +28,7 @@ from PIL import Image
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device = "cuda:0"
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sd_pipe = StableDiffusionImageVariationPipeline.from_pretrained("lambdalabs/sd-image-variations-diffusers")
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sd_pipe = sd_pipe.to(device)
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out = sd_pipe(image=Image.open("path/to/image.jpg"))
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out["images"][0].save("result.jpg")
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```
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device = "cuda:0"
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sd_pipe = StableDiffusionImageVariationPipeline.from_pretrained("lambdalabs/sd-image-variations-diffusers")
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sd_pipe = sd_pipe.to(device)
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out = sd_pipe(image=Image.open("path/to/image.jpg"), guidance_scale=3)
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out["images"][0].save("result.jpg")
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```
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