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 vae/diffusion_pytorch_model.bin from lambda/sd-image-variations-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/2ddbd90b14bc5892c19925b15185e561bc8e5d0a/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lambda/sd-image-variations-diffusers@2ddbd90b14bc5892c19925b15185e561bc8e5d0a/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lambda/sd-image-variations-diffusers/resolve/2ddbd90b14bc5892c19925b15185e561bc8e5d0a/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- c2bc67cab114fb74d7559588c4a60349606742dd1e410c07ce8cdc0221279b6d
- Size of remote file:
- 335 MB
- SHA256:
- 1b134cded8eb78b184aefb8805b6b572f36fa77b255c483665dda931fa0130c5
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