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
Download unet/diffusion_pytorch_model.safetensors from lambda/sd-image-variations-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/refs%2Fpr%2F21/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://lambda/sd-image-variations-diffusers@refs/pr/21/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/refs%2Fpr%2F21/unet/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- d5f24455972194a1dcfa4e88868b7347ab8aa8822922dfbe2d8a377ca8ff96d3
- Size of remote file:
- 3.44 GB
- SHA256:
- 766d45545c85aa9ff0b7313897786e68532901a14cea7a3ec3bffcf731b36662
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