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]
https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/refs%2Fpr%2F20/default-montage.jpg
hf download hf://lambda/sd-image-variations-diffusers@refs/pr/20/default-montage.jpg
curl -L -o default-montage.jpg https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/refs%2Fpr%2F20/default-montage.jpg
