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
Upload Picsart_24-08-26_20-35-34-535_image_repair_1724872095985.jpg
#22
by Medo80 - opened
A striking silhouette of a [man with a thick beard] emerges from the darkness, starkly outlined in black and white with bold contrasts and dramatic chiaroscuro lighting. The subject's long, graceful fur capturing every subtle shift of light and shadow. This breathtaking photograph captures in a moment of stillness, the intensity of its gaze seeming to pierce through the darkness. The image exudes a sense of mystery and depth, showcasing the undeniable artistry