Image-to-Image
Diffusers
Safetensors
English
stereo generation
augmented reality
diffusion
zero-shot
Instructions to use prs-eth/stereospace-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/stereospace-v1-0 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("prs-eth/stereospace-v1-0", 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
- Xet hash:
- d8b9620f86d2855709b80746a27159f14454939c8d3bbbe222d464e54241e74c
- Size of remote file:
- 3.47 GB
- SHA256:
- 10cd0480bfa47ffd883c7381973b6ec73defbd9479ea00b9ccb0e777ce9aeb78
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